The Sani/Ikos Group is one of the most distinguished luxury hospitality groups in Greece and internationally. Through its award-winning Ikos Resorts and the signature Infinite Lifestyle all-inclusive concept, the Group has become synonymous with exceptional guest experience, meticulous service standards, and a strong, long-term commitment to innovation and digital transformation.

The Challenge

The day-to-day management of a very high volume of purchase invoices had become a structural bottleneck for the accounting function:

• Over 15,000 invoices processed manually every month
• A network of 700+ suppliers, each with different invoice layouts and formats
• Invoices issued in multiple languages (initially Greek and Spanish, with further languages required)
• Delays in validation and posting, affecting the speed and quality of financial reporting
• Frequent manual errors, resulting in corrections, rework, and increased operational pressure

In effect, the accounting department was compelled to spend disproportionate time on transactional processing, making it increasingly difficult to keep pace with the Group’s growth and strategic priorities.

The Solution

To address these challenges, the Sani/Ikos Group adopted PaperEntry AI to automate invoice data capture and entry across the organization.

Harnessing Artificial Intelligence (AI), Large Language Models (LLMs), Natural Language Processing (NLP) and in-context learning, PaperEntry AI is able to:

• Ingest and interpret invoices from any supplier, regardless of structure
• Process documents in any language, without manual configuration
• Operate without predefined templates or lengthy training, drastically reducing implementation and maintenance overhead

What was once a heavily manual process is now largely hands-off, with the accounting team stepping in only to manage exceptions, approvals, and higher-value financial activities.

The Results

Within just four months, the transformation was both tangible and measurable:

• 60,000+ invoices processed
• 85% automation rate, with only minimal human intervention
• 99% accuracy across all key data fields
• 90% reduction in processing time per invoice
• Month-end closing brought forward to the first working day (from the second), with enhanced completeness and reliability of balance sheets
• Finance staff released from repetitive data entry, enabling a shift towards analysis, audit, and strategic support for the business

What the Client Says

Conclusion

The decision to implement PaperEntry AI for a project of the Sani/Ikos Group’s scale stands as a best-practice reference in the digital transformation of accounting operations.

In just four months, the initiative demonstrated that AI-driven invoice automation:

• Significantly reduces errors
• Delivers substantial time and cost savings
• Enhances transparency, governance, and control
• Provides management with more timely, data-rich financial insight

Today, PaperEntry AI is a critical enabler of the Group’s daily financial operations and a strategic foundation for further automation and optimization across the finance function.

The Innovation Behind PaperEntry AI

The sophistication of PaperEntry AI lies in its use of advanced AI and Large Language Models, giving the system the ability to understand natural language and interpret content semantically, rather than merely reading characters or fixed patterns.

By combining NLP and in-context learning, PaperEntry AI:

• Understands the meaning, structure, and intent of each document, irrespective of format or language
• Interprets content in a human-like manner, discerning context and relationships within the text
• Adapts dynamically to new document types, without the need for new templates or additional training cycles
• Continuously refines and improves its accuracy through ongoing learning mechanisms

This carefully engineered combination of technologies makes PaperEntry AI a genuinely intelligent document extraction and data entry platform, converting unstructured documents into high-quality, actionable business information with speed, precision, and consistency.

Would You Like a Bespoke Demonstration?

For a deeper understanding of how PaperEntry AI can modernize your invoice processing and drive operational efficiency across your organization, simply schedule your tailored demo. A dedicated AI consultant will follow up to organize the demonstration at your preferred time.

This case study has been developed in collaboration with our valued partner, UTILIZE, who originally produced the source material.

The post How Ikos | Sani Resort Achieved 85% Automation and 99% Accuracy in Just 4 Months with PaperEntry AI appeared first on .

This quote from John Pennypacker, Senior Vice President at Deep Cognition, perfectly captures Deep Cognition’s vision for the future of customs automation and brokerage. 

For years, “WESCCON” has been the premier hub for customs brokers and freight forwarders across the Pacific Coast, drawing industry leaders to discuss the most pressing issues shaping international trade, compliance, and supply chain innovation. For “Deep Cognition”, a pioneer in applying artificial intelligence (AI) to customs automation and the brokerage ecosystem, “WESCCON” is more than a conference, it’s a valuable opportunity to reconnect with customers and prospects in-person, discuss where the industry is heading, and a platform to showcase how technology is helping elevate the industry.

Elevating the Role of the Customs Broker Through Automation

As Pennypacker, emphasized at “WESCCON” 2024, “The goal for us is to elevate the role of a customs broker. AI is to elevate the role, not eliminate the role.“

In an industry where efficiency, accuracy, and compliance dictate success, the customs broker plays a pivotal role in ensuring goods flow quickly across borders. Yet, the complexity of regulatory frameworks (and ever-changing complexity), coupled with a mixed outlook on shipment volumes, has strained traditional workflows and overburdened teams.

Deep Cognition’s mission is to leverage “AI-driven customs automation software solutions” that streamline processes, reduce manual data entry, enhance accuracy, and free brokers to focus on higher-value advisory and compliance work. Far from replacing human expertise, our customs automation tool acts as a co-pilot in automating repetitive tasks while the customs broker retains control over strategic decision-making.

Why WESCCON Matters to Deep Cognition

In a world where margins are shrinking and compliance demands are growing, scaling through efficiency is no longer optional, it’s essential. 

At the same time, the global tariff environment is constantly evolving, with shifts in trade policy, retaliatory duties, and preferential agreements redefining how goods move across borders. These changes create a complex landscape where customs brokers must remain vigilant, ensuring accuracy and compliance while guiding clients through uncertainty.

This is exactly why WESCCON offers the perfect stage for Deep Cognition and others to engage customs brokers and freight forwarders in conversations about how AI-powered customs automation can drive growth while safeguarding compliance.

With tools like PaperEntry AI, brokers no longer have to be bogged down by repetitive, manual data entry. Instead, they can redirect their expertise towards navigating tariff changes, managing regulatory risks, and advising clients on strategic trade decisions.

By handling the heavy lifting of document processing and data capture, our customs automation platform frees up valuable time, allowing customs brokers to focus on what truly matters: compliance, client relationships, and staying ahead in a rapidly changing trade environment. 

As John Pennypacker noted, “AI can be a growth vector for your company, driving productivity gains and reducing the need for additional headcount.”

What We’ll Be Discussing at WESCCON:

• Template-free extraction using Large Language Models (LLMs) and computer vision, so you can onboard new document layouts without building templates.
• Automated Commercial Invoice and Packing List reconciliation with intelligent exception handling through our advanced UI that allows seamless resolution of discrepancies.
• Exception handling with human-in-the-loop validation; you keep oversight while reducing rework through our intuitive customs automation interface.
• Native integration with CargoWise, Descartes, Mercury Gate, and Magaya plus modern APIs for seamless connectivity into your transportation management and ERP systems.

Deep Cognition is honored to support the event as a “Silver Sponsor”. If you are attending, we would love to connect with you in the Expo

Voices from Deep Cognition: Excitement for WESCCON 2025

At this year’s “WESCCON”, Deep Cognition will be represented by three dynamic attendees. Each brings a unique perspective on how AI-powered customs automation and human expertise intersect to transform customs brokerage.

Here’s what they had to say:

Meet Deep Cognition at WESCCON 2025

Deep Cognition is proud to be part of “WESCCON 2025” and looks forward to engaging with brokers, forwarders, and industry leaders about the future of customs automation.

Attending WESCCON 2025? Catch our team at Booths 4 & 5

Come see firsthand how Deep Cognition’s AI-driven customs automation solutions are empowering customs brokers to work smarter, elevate their role, and deliver more value in an evolving trade environment.

The post Deep Cognition at WESCCON 2025 appeared first on .

Market Growth Amid Increasing Complexity:

The U.S. customs brokerage market is projected to reach $5.3 billion in 2025, while the global market is estimated to grow from $22-23 billion to over $32 billion by 2030 (7%+ CAGR). This growth is not just about market size; it reflects rising document volumes, stricter compliance demands, and the surge of cross-border e-commerce.

For brokers, this translates into handling up to 3x more documents per agent per day compared to a decade ago, with error tolerance shrinking as penalties and delays rise. In this environment, digitally-enabled brokerages are pulling ahead: they process entries 40–60% faster, cut compliance errors by double digits, and retain clients at significantly higher rates. The result is a widening competitive divide between firms that embrace automation and scale profitably, while manual operations struggle to keep pace.

Regulatory Volatility Creates Operational Challenges:

Between fiscal 2015 and fiscal 2024, the number of low-value shipments claiming the U.S. de minimis exemption rose from about 139 million to 1.36 billion, a 10× increase (Reuters). On August 29, 2025, the exemption was eliminated, triggering an estimated $10 billion in annual tariff revenue, plus severe operational disruption in global parcel logistics and customs systems (Reuters). As a result, several postal operators halted or dramatically reduced U.S.-bound shipments in the days following (Reuters). Logistics provider Flexport commented that the industry had to scramble to “move inventory around” and re-route parcel flows to avoid the new documentation bottlenecks (Reuters).

Strategic Shift in Client Relationships:
According to a 2025 Thomson Reuters survey, 76% of trade professionals expect current tariff structures to become permanent features rather than temporary disruptions. Importers increasingly engage customs brokers not just for transactional clearance, but for strategic trade advisory and supply chain risk management. Major logistics providers report corresponding revenue increases in customs and compliance services, while U.S. Customs duty collections have reached historic levels, indicating intensified enforcement focus.

Technology Integration as Competitive Imperative:

AI/ML-powered systems in customs brokerage report the ability to automate up to 80% of repetitive documentary tasks, freeing staff to focus on complex exceptions, trade-policy review, or non-standard shipments (Invensis). By deploying digital filing systems, API-enabled platforms, and predictive analytics, brokers achieve faster clearance, higher first-pass accuracy, and stronger client satisfaction. In a survey of stakeholders using automated customs-clearance systems, 84.6% reported reduced operational costs and 88.4% observed faster clearance times after automation implementation (IIARD Journals). With trade volatility and compliance risks rising, automated document processing has shifted from efficiency gain to business continuity necessity.

Why PaperEntry AI is well-positioned in this landscape

Scalable Import/Export Processing Under Market Volatility:

PaperEntry AI’s multi-channel document ingestion capabilities, including email integration, API connectivity, SFTP transfers, direct forwarding protocols, and automated system triggers, enable freight forwarders to adapt rapidly to fluctuating shipment volumes and evolving supplier documentation patterns. This flexibility eliminates the rigid template requirements and extensive training cycles that traditionally bottleneck customs clearance operations.

Proactive Compliance Management and Trade Documentation Accuracy:

Automated validation at the document ingestion stage helps customs brokers identify Harmonized Tariff Schedule (HTS) classification errors, missing commercial invoices, and non-compliant trade documentation before these issues impact cargo release timelines. This early detection capability significantly reduces CBP holds, demurrage charges, and costly re-work that can disrupt supply chain operations.

Streamlined Transportation Management System (TMS) Integration:

By embedding automated data publishing and document standardization within the same processing pipeline, the solution eliminates manual handoff points between customs clearance and freight forwarding operations. This integration reduces drayage delays, warehouse coordination errors, and the communication gaps that often plague multi-modal logistics operations.

Enhanced Operational Efficiency for Logistics Service Providers:

As freight forwarders handle increasing cargo volumes amid volatile international trade conditions, automation delivers exponential efficiency gains. The system frees experienced customs specialists and logistics coordinators to focus on complex exception handling, trade advisory services, and strategic customer consultation, ultimately improving profit margins and service quality.

Supply Chain Resilience and Adaptive Response Capabilities:

Freight forwarders leveraging AI-driven customs documentation processing can respond more effectively to trade disruptions, tariff modifications, country-of-origin rule changes, and supply chain redirections. This agility allows logistics providers to scale throughput capacity without proportional increases in staffing costs or compliance risk exposure.

Strategic Market Positioning for Logistics Companies:

By automating routine customs brokerage documentation tasks, freight forwarding companies can reallocate resources toward high-value services: trade compliance consulting, supply chain optimization, and proactive regulatory guidance. As importers increasingly depend on freight forwarders as trade policy navigators and logistics strategists, this capability enhancement represents a significant competitive advantage.

Meeting Industry Demands Head-On:

The convergence of tariff uncertainty, evolving trade regulations, increasingly complex international shipping requirements, and shipper demands for real-time visibility and faster customs clearance creates an urgent need for intelligent automation in freight forwarding operations. PaperEntry AI provides customs brokers and logistics service providers with the tools to not merely adapt to industry disruption, but to leverage it for sustainable growth and market leadership.

Here’s how it fits into your workflow

Configure your automation workflow by establishing custom combinations of importers and suppliers to optimize processing efficiency. Our intelligent platform enables you to define specific processing rules and parameters for various trading relationships, ensuring that each shipment follows the most appropriate validation and processing pathway. This flexibility enables custom brokers to maintain full control while maximizing operational efficiency across diverse client portfolios.

Flexible Document Ingestion:

No matter how you send documents today, email, API, FTP, or direct customer forwarding, our system ingests, validates, and publishes them into your TMS or workflow instantly, with minimal human intervention.

Clients who prefer customer-forwarded documents or supplier-sent emails can plug directly into our email ingestion pipeline, while those with more advanced systems might use API or SFTP connections to automate end-to-end document flow

Once submitted through any of these channels, files are swiftly prepared and undergo comprehensive automated validation checks to ensure precision. With robust validation layers, your documents are seamlessly integrated into your TMS for smooth downstream processing.

Why It Matters: Business Impact

For importers, logistics providers, and trade compliance teams, processing delays aren’t just operational setbacks; they pose financial and regulatory risks. Our intelligent processing system addresses these challenges by proactively validating documents at the point of entry, delivering measurable improvements across your workflow with the following key benefits.

Eliminates Manual Validation:

Automated document processing cuts clerical turnaround time, reducing delays and errors while speeding up customs clearance and lowering costs. Over 80% of adopters report reduced operational expenses and faster clearance times (IIARD Journals).

Reduces Errors:

Minimizes the risk of data entry mistakes and inconsistencies that can disrupt downstream processes.

Ensures Compliance:

Helps prevent costly compliance issues by catching discrepancies early, reducing the likelihood of penalties or shipment holds.

Boosts Speed and Reliability:

Delivers faster, more consistent processing, enhancing your service levels and strengthening your reputation as a tech-forward, dependable partner in global trade.

Even modest improvements, such as cutting one full day of delay on a high-volume lane or reducing exception-handling effort by half, translate directly into tens or hundreds of thousands of dollars per month in savings, not to mention improved customer trust, fewer rush shipments, and increased capacity per headcount.

See Our AI System in Action

Every week you’re still relying on manual document processing, your staff are spending hours on clerical drudge work while competitors with intelligent automation are winning fast-turn cargo work, delivering smoother customs clearance, and earning higher margins. Schedule a demo today, plug in PaperEntry AI, and convert those wasted hours into strategic capacity.

References

Reuters, “End of U.S. De Minimis Exemption to Generate $10B in Tariffs,” August 29, 2025.

IIARD Journal of Social Sciences and Management Research, “The Effect of Automated Customs Clearance on Cost and Time Reduction,” 2024.

Morrison, A. (2025) AI in Customs Brokerage: Applications, Benefits, Challenges & Trends [Preprint].

The post Customs Brokerage in Flux: Why Intelligent Document Automation Is Now Essential appeared first on .

Hiring can’t keep up – turnover is high, complexity is rising, and training just can’t scale fast enough.

With de minimis on life support, falling behind isn’t a long-term risk – it’s a near-term reality if you don’t take action now. This turning point is also speeding up the rise of AI in supply chain management, as logistics leaders turn to automation not just to cope but to compete.

1 | The Big Picture: This Isn’t Just About Type 86

Under Section 321 of the Tariff Act of 1930, Customs and Border Protection (CBP) allows duty-free clearance for shipments valued at $800 or less, commonly referred to as de minimis entries. This provision helped fuel the rise of e-commerce imports, especially from Asia.

But starting May 2, 2025, CBP will exclude shipments from China and Hong Kong from this de minimis treatment. In other words, they will no longer qualify for simplified clearance via Entry Type 86. Instead, each shipment will require either a formal or informal entry, depending on value and eligibility.

For customs brokers and logistics providers, this introduces a new scale of complexity. The real challenge isn’t just adjusting to a rule – it’s preparing for a future where exceptions are common, documentation is messier, accuracy and speed are a competitive edge. This is where AI in supply chain planning can be a game-changer; it allows you to navigate complexity with foresight, not just efficiency.

2 | It Started With Good Intentions: From $200 to $800 to… Backpedal

In 2016, Congress raised the de minimis threshold from $200 to $800 through the Trade Facilitation and Trade Enforcement Act. The rationale was straightforward: lower administrative burdens, promote e-commerce growth, and let CBP focus on higher-risk, higher-value shipments.

The bet worked – but maybe too well. Then COVID hit, and e-commerce exploded. The world changed its purchasing habits almost overnight, pushing volumes far beyond what the original rulemakers could have anticipated.

By Fiscal Year 2023, CBP was processing over one billion de minimis shipments annually, 88% arriving by air. Entry Type 86 became the de facto pathway: duty-free, low-touch and API-friendly. But as volumes spiked, two unintended consequences followed:

1. Enforcement blind spots widened – Type 86 offered no duties, minimal targeting and limited visibility into product origins, valuation methods, or restricted content.

2. De minimis was used to route around tariff structures, especially for Section 301-affected goods, undermining the intent of U.S. trade enforcement.

“The de minimis exception, while originally well-intentioned, has become a tool for tariff circumvention, especially for goods subject to punitive measures under Section 301.”
  –  Testimony before the U.S.-China Economic and Security Review Commission, 2023

Type 86 was introduced to bring Partner Government Agency (PGA) data requirements into the Section 321 process, particularly for regulated goods like FDA imports. It became a preferred option for e-commerce shippers who needed to comply with PGA requirements while still taking advantage of de minimise.

To tighten enforcement, CBP is carving out an exception: beginning May 2, 2025, shipments from China and Hong Kong will no longer be eligible for Section 321 clearance. These parcels must now be declared through full customs entries. Guidance around thresholds and eligibility continues to evolve, especially for goods affected by Chapter 99 provisions.

“Before Type 86, carriers often filed 321s directly without broker involvement. But as PGA reporting and classification complexity grew, brokers were pulled back into the process, just as volumes exploded.”
  – Adrienne Williams, GHY

Staffing isn’t a scalable answer. And for this reason, many forwarders are now investing in AI in logistics to reduce repetitive manual work and optimize resource allocation across high-volume accounts.

Turnover in clerical logistics roles exceeds 25% annually, according to Harver’s 2024 Logistics Retention Study. Meanwhile, processing complexity is rising faster than training pipelines can keep up.

Consider a typical ops desk at 8:45 a.m. last year: 400 parcels could be cleared with minimal keystrokes. That same workload today? Each box might require classification, valuation logic and even PGA screening… And the headcount? It’s still the same.

This is the new post-321 reality. And the operations leaders who will win in it won’t just file more entries; they’ll engineer workflows that absorb chaos, scale expertise and reclaim time without burning out teams.

3 | From Chaos to ‘Kitchen Ready:’ Turning Documents Into Prepped Ingredients

Chefs don’t beat the dinner rush by cooking faster; they beat it by having every ingredient ready. For customs brokers, every compliant entry resembles a plated dish:

But the problem isn’t just volume – it’s inconsistency. One shipment arrives with a clean PDF and structured line items. The next? A photo of a handwritten packing list, two invoices with different currencies and a supplier email that vaguely references “metal parts.” Getting the ingredients and prepping them is half the battle.

PaperEntry AI, your AI “Sous-Chef,” doesn’t make the meal, but it ensures everything the chef needs is clean, labeled and ready to use.

It pulls data from PDFs, scans and emails. It identifies gaps, mismatches and missing fields. It standardizes formats, consolidates multi-source inputs and applies logic checks that mirror what experienced brokers would do manually. That’s what we mean by “prepping” – not just finding the ingredients, but scrubbing, sorting and staging them so they’re immediately usable.

Then your team – human experts trained in entry types, valuation strategy and regulatory nuance – step in to apply the recipe, escalate edge cases and finalize the entry.

Performance Across 30+ Brokers and Forwarders:

That impact – cleaner data, faster entry prep, better outcomes – is echoed by long-time customers like Transmodal, who noted:

“The product itself enhances our accuracy in US Customs entries and provides a faster method to produce the entries themselves.”
  – VP of Customs & Compliance, Transmodal

In most brokerage teams, mornings used to start with 10 tabs open: Slack threads, ABI queries, layered PDFs and multiple trackers. Now, with the AI sous-chef, the workflow starts differently. The invoice arrives, data gets extracted and validated automatically, and the human operators jump straight to classification and escalation work, where their expertise delivers the most value.

The recipe still belongs to your compliance team. PaperEntry AI just makes sure the pantry is stocked, sorted and sanity-checked – every single time.

4 | Workflow Integrity: Building for Change, Not Just Speed

The post-de minimis era demands more than faster processing; it requires stable, transparent workflows that can flex with regulation.

Leading trade operations are reinforcing their digital infrastructure with:

• Business logic checks that catch missing SKU values, mismatched currencies, or any other supplier-specific nuances.
• Stop-sign logic that prevents incomplete or high-risk data from entering the TMS until reviewed by a customs broker.
• Timestamped prep sheets that show every manual touch: what changed, when and by whom, ensuring audit resilience.

“Their tailored, cutting-edge AI and digital solutions have significantly improved our productivity and accuracy, reduced risks, and supported our digital transformation efforts.”
  – Frederic Wilhelm von Bismark, Director of Digital Transformation, JAS Worldwide

“The validations and checks are key selling points; it reassures our clients and enhances compliance.”
  – Alison Peters, Corporate Licence Holder, UTC Overseas

PaperEntry AI doesn’t replace judgment. It extends capacity by ensuring that every operator begins with a structured, sanity-checked data set. That’s how leading brokers absorb more volume without growing headcount and still keeping compliance teams in control. At its core, this is what AI in supply chain management is for: enabling brokerage operations to future-proof infrastructures as regulations evolve.

5 | Rolling Out a ‘Sous-Chef’ in Three Courses

PaperEntry AI doesn’t replace your team – it multiplies their output by removing the chaos at the start of every entry.

Here’s an example of how an organizations can rollout this tool across key stages:

Adoption is rarely about technology – it’s about strategic change management. Early wins with high-volume clients lead to broader buy-in. Teams move from skepticism to asking: “Can we send more lanes through PaperEntry AI?”

The Next Frontier: From Prep Work to Strategic Planning

Once you’ve tamed the chaos of document prep, something powerful happens: You gain control over your time, talent and risk.

Teams using structured data from PaperEntry AI have unlocked the capabilities of AI in supply chain planning and are starting to:

• Identify product trends and common classification pitfalls before audits hit
• Respond faster to client inquiries with cleaner, consolidated data
• Segment workloads based on entry complexity, not just client volume

That’s the future: not just reacting faster, but planning smarter.

Ready for a Taste Test?

Bring your toughest documents: multi-currency invoices, dense packing lists, battered scans, or vendor formats that always seem to change.

In a live demo, you’ll see PaperEntry AI extract, structure and validate your data in real time, with no templates and no guesswork. You’ll walk away with a clear view of how the sous-chef works, what your team would still control, and how much time you could realistically reclaim. And really, that’s what AI in logistics is all about: enhancing teams, not replacing them.

Here’s what you can look forward to:

1. Pick a few high-priority documents.

2. Watch PaperEntry AI prep them live.

3. Decide if our “sous-chef” is ready for a full-time station in your “kitchen.”

Schedule your demo now or contact our team to get started.

The post De Minimis Is Fading, and AI Is Your Lifeline appeared first on .

Fortunately, modern AI data extraction tools can automate large portions of this paperwork, reducing workload and improving accuracy without replacing the nuanced judgment that human experts provide.

The Real Challenges Brokers and Forwarders Face

1. Commercial Invoices Overload

   Commercial invoice processing must be handled accurately for every inbound or outbound shipment to avoid compliance problems. Even minor typos can lead to extra fees, returned shipments or penalties. Handling hundreds of these documents daily quickly overwhelms staff. Invoice automation streamlines the entire process, reducing manual workload, minimizing errors and ensuring compliance with regulatory requirements.

2. Pressure to Stay Compliant

   Freight forwarding and customs document automation require constant vigilance: a single missed detail can cause long delays or trigger audits. While intelligent document processing (IDP) software can flag discrepancies, it’s ultimately human knowledge that determines the rules. However, once those checks are set, an automated data validation system never tires or forgets to apply them.

3. High Operating Costs

   Companies often respond to rising demand by hiring more data-entry staff, which drives up labor expenses and risks human error. Paperless document management software can process high volumes at scale without significant overhead increases, which is key to scaling freight operations without adding headcount.

How AI Document Automation Delivers Value

AI Data Extraction

PaperEntry AI from Deep Cognition quickly extracts relevant information from each commercial invoice, such as supplier details, item counts and declared values. Subsequently, it then populates your logistics workflow automation systems, drastically cutting the time your team spends on manual data entry. Data extraction AI tools like this save time and improve accuracy.

Validations With Human-Guided Rules

The power of automated data validation lies in its speed and consistency. A human defines critical checks, such as matching invoice line items to internal descriptions or referencing your freight database for consistent naming, and the paperless document management software runs these validations on every document. Where a tired clerk might miss a mismatch or duplication, an intelligent document processing (IDP) tool will flag it every time, ensuring a near-perfect catch rate.

Enriched Data From Internal Databases

While PaperEntry AI doesn’t classify everything on its own, this AI document automation tool can connect to your internal systems for suggestions, like referencing item descriptions or regulatory notes. The final say always belongs to your experienced team, but paperless document automation ensures they see the right data in context to make quick, accurate judgments, crucial for end-to-end trade compliance.

Seamless Integration

Commercial invoice automation works best when it integrates with the rest of your freight management or customs brokerage software. By syncing data across all systems in real time, you reduce redundant tasks. This leads to fewer errors, lower operational costs and faster customs clearance with AI in logistics.

Why Humans Still Matter

Automation isn’t a substitute for the specialized knowledge that customs brokers and freight forwarders bring to the table. Instead, it augments your capabilities:

• Defining Validation Rules: An AI data extraction tool can’t know your unique business logic until you teach it. Experts decide what checks to run and how to handle exceptions.
• Overseeing Exceptions: When the data extraction AI system flags unusual invoice data, a trained human can step in to investigate.
• Continuous Improvement: As regulations or client requirements shift, your team updates the system rules. AI document automation enforces them consistently.

In other words, using AI in logistics frees your staff from data grunt work so they can focus on solving complex problems, building client relationships and expanding your routes.

The Human Element: Empowering, Not Replacing

You might worry that using AI in logistics means fewer roles or losing expertise. In reality, intelligent document processing (IDP) augments your team’s capabilities:

• Entry-level staff become compliance spot-checkers instead of data typists.
• Mid-level managers focus on shipment analytics and forging better carrier relationships.
• Senior brokers/forwarders spend more time on strategic planning, trade-lane expansion or high-level contract negotiations.

In other words, paperless document automation helps your entire organization move from routine tasks to value-added activities that drive growth and keep clients satisfied.

Real Impact: From Day-to-Day Wins to Long-Term ROI

1. Zero-Hour Turnarounds

   Need to handle a rush shipment with hundreds of line items? AI-based data extraction and validations allow you to file entries in minutes.

2. Reduced Operational Costs

   Fewer errors and less rework free up budgets. Those savings might go into upgrading tech systems or exploring new trade lanes.

3. Stronger Client Relationships

   Clients rely on you for timely, accurate shipping. When you deliver consistent results, no matter the cargo volume, you earn their loyalty and word-of-mouth referrals.

Making the Leap to AI Automation

If you’re on the fence, start small. Identify one high-volume document type, like commercial invoices for a specific import lane and trial an intelligent document processing solution. Track metrics such as:

• Time spent per document
• Error rate (mismatched data fields, classification errors)
• Staff hours reclaimed for higher-level work

Chances are, you’ll see improvements within weeks. Then, you can extend the automation to other document sets, bills of lading, packing lists or arrival notices, building a paperless customs brokerage.

Why Deep Cognition Fits the Bill

Deep Cognition specializes in customs document automation and freight forwarding automation:

• Generative AI that adapts to different invoice layouts and complex cargo descriptions without promising full classification for HS codes.
• Straightforward integration with leading freight and brokerage platforms, minimizing disruptions.
• Scalable solutions that grow with your shipment volume, no need for endless configurations each time a new supplier or commodity appears.
• Expertise in cross-border compliance, ensuring your system stays in tune with global regulations.

Ready to Transform Your Commercial Invoice Workflows?

Stop letting piles of invoices and manual processes slow you down. PaperEntry AI empowers your operations, delivering consistent speed and accuracy for your freight forwarding or customs brokerage business.

Next Steps:

• Schedule a demo to see commercial invoice automation in action.
• Discuss custom rules tailored to your compliance needs.
• Experience faster processing and fewer headaches on the daily paper grind.

Streamline your logistics and free your team to focus on the strategic, high-value work that truly drives growth.

The post Beyond Paperwork: How Automation Transforms Customs Brokerage and Freight Forwarding appeared first on .

Is AI data entry software replacing humans?

John Pennypacker, Vice President of Sales and Marketing at Deep Cognition, settles the discourse, emphasizing that AI-assisted data entry elevates human roles instead of replacing them.

“AI is about job transformation and empowerment, not job elimination,” Pennypacker said.

“As technology advances, roles change or evolve, but human expertise remains essential.”

Through AI augmentation, employees can automatically extract and validate data from bills of lading and other trade documents with up to 99% accuracy. These enhanced capabilities reduce the manual workload and allow organizations to redirect their efforts to more strategic initiatives, such as analyzing data trends or innovating business processes.

Let’s define AI augmentation in detail and how using AI for data entry can drive efficiency in your organization.

What Is AI Augmentation?

AI augmentation refers to the assistive role automation software, like Intelligent Document Processing (IDP), plays in improving human decision-making.

Rather than removing humans from the picture, AI-Driven IDP tools rely on machine learning and deep learning to crunch through vast amounts of data at speeds and scales unattainable by human effort alone.

Pennypacker summarizes what is AI augmentation perfectly:

“The human is in charge, AI is the assist.”

AI handles the ‘what’ (i.e., What does the data show? What are patterns and predictions?) while humans decide the ‘why’ and ‘how’ (i.e., Why does the insight matter? How should we act on it?).

How AI-Powered Data Entry Improves Your Team’s Capabilities

From tracking the movement of goods to managing documents and ensuring compliance, businesses – especially those in customs brokerage, freight forwarding, and supply chain management – handle massive volumes of data daily. Traditionally, these processes relied heavily on manual data, a time-consuming and error-prone task that drains resources and limits productivity. 

Using AI for data entry transforms the way teams handle data, offering significant improvements in efficiency and accuracy:

1. Workforce Automation

   Manual data entry is often repetitive and tedious, which slows down critical operations. AI-powered workforce management automation eliminates these bottlenecks by automating document processing in a fraction of the time it takes a human.

   Data entry AI tools can swiftly analyze shipping documents and pull relevant data with little to no human intervention. This allows teams to process more documents faster while maintaining high levels of accuracy.

   “Use AI to create efficiency gains and become more impactful with the staff you have,” Pennypacker said.

   Through workforce automation, teams can effectively scale productivity without scaling costs.

2. Improving Data Accuracy

   Data entry mistakes can lead to delays and penalties. Unlike humans, workforce automation software doesn’t suffer from fatigue or distractions, which are common causes of data entry errors. By automating the extraction and validation of data, data entry AI tools ensure the information is consistently reliable.

   However, the role of humans remains essential in validating AI’s output. As Pennypacker explains,

   “It’s critical to implement AI within clear rules and checks, keeping things right down the fairway.”

   This ensures that while AI data entry software handles the heavy lifting, employees remain the final checkpoint for quality control and decision-making.

3. Empowering Employees To Focus on Strategic Tasks

   One of the most significant advantages of workforce management automation is its time savings. Workforce automation empowers employees to use their skills where they matter most. Rather than spending hours inputting shipment details into multiple systems, employees can focus on compliance management and other critical thinking-intensive work. This leads to higher job satisfaction and a greater sense of purpose.

4. Scalability Without Adding Headcount

   As your business grows, so does the demand for data processing. Traditionally, meeting this demand meant hiring more staff to handle increasing workloads. AI-powered workforce automation software changes this dynamic.

   Pennypacker describes this advantage clearly:

   “AI can be a growth vector for your company, driving productivity gains and reducing the need for additional headcount.”

   Automating data entry allows you to do more with your existing team and focus your resources on growth initiatives rather than constantly investing in additional resources to keep up with operational demands.

5. Streamlining Workflows

   AI-powered data entry doesn’t operate in isolation. It integrates seamlessly into existing workflows, improving how teams collaborate and share information. When data flows seamlessly from one system to another, you create a more connected work environment where teams can make informed decisions quickly.

The Future of AI and Automation in the Workforce

AI augmentation is not only reshaping how businesses operate, but it’s also redefining the roles of employees. However, even with data entry AI placed at the core, avoiding a “zero-human” mindset is vital. 

The future of AI and automation in the workforce is more about collaboration than replacement. Machine learning models and algorithms are only as good as the data they are trained on, and they require human oversight to ensure they remain accurate and compliant with regulations.

Additionally, as AI takes over routine tasks, it revolutionizes what’s possible in document automation and paves the way for new roles that require different skill sets. For instance, there is expected to be a growing demand for AI specialists and data scientists in industries where AI is integrated into workflows.

Employees also have the chance to engage in learning and development to adapt to technological advancements. Reskilling programs will be essential to ensure employees have the skills needed to collaborate effectively with data entry AI tools and take on more strategic roles.

Pennypacker suggests that companies should “find an internal innovation champion — someone who believes in AI and can be an advocate within the organization.”

Focus on how AI can be a catalyst for greater human potential. Fostering an environment where workforce management automation is embraced and understood allows organizations to empower employees to adapt and grow with the technology.

Overall, the future of AI and automation in the workforce is not about choosing between machines and humans but about building a symbiotic relationship where both thrive.

As powerful as it is, workforce automation software is just there to help. AI will continue to transform industries and change the nature of many roles, but human expertise will remain crucial to success.

Empower Your Teams With PaperEntry AI

Deep Cognition is revolutionizing data entry processes with PaperEntry AI — an intelligent document processing platform powered by generative AI. We’ve seen our clients in freight forwarding and customs brokerage gain the ability to automate customs invoice processes and achieve 90% time savings with 99% accuracy by adopting PaperEntry AI.

Get started and join this workforce management automation. Schedule a demo to see PaperEntry AI in action.

The post Empowering, Not Replacing: How AI-Powered Data Entry Enhances Your Team’s Capabilities appeared first on .

Third-party collaboration, audits and regulatory compliance are critical facets that require accurate documentation to drive efficiency and governance. Without systematic document automation procedures in place, you risk losing important data and threaten operational success.

Document automation provides an ideal entry point for organizations looking to leverage intelligent document processing (IDP) and artificial intelligence (AI) to streamline processes.

John Pennypacker, Vice President of Sales and Marketing at Deep Cognition, advises that rather than investing in a large-scale AI transformation, companies can begin with business document automation, where AI can make a real difference.

“Don’t put AI on top of broken processes — get your house in order first,” Pennypacker said.

“Document process automation can be a growth vector for your company, driving productivity gains and reducing the need for additional headcount.”

This “crawl, walk, run” approach ensures organizations can build confidence with AI before scaling its impact.

What Is Document Automation?

Document process automation, also known as document generation, document assembly, or Intelligent Document Processing, expedites the creation, management and distribution of documents at scale using advanced document automation workflow software.

Here’s a more in-depth explanation of what is document automation and how intelligent document processing works:

Business document automation software pulls data from various document types and populates it into predefined templates, which can include simple text blocks or more sophisticated elements such as tables, images and graphs.

Depending on the software, document automation capabilities may include:

• Document Capture: Scanning or importing physical or digital documents (e.g., PDFs, emails, scanned forms) into a system.
• Optical Character Recognition (OCR): Using AI-powered OCR technology to convert printed or handwritten text into machine-readable data.
• Data Extraction: Identifying and extracting specific information, such as names, dates, invoice numbers or totals, from structured and/or unstructured documents.
• Data Validation: Verifying the accuracy and consistency of the extracted data against predefined rules or external databases.
• Integration: Automatically transferring the processed data into other systems or databases (e.g., customer relationship management (CRM), enterprise resource planning (ERP), spreadsheets).
• Document Automation Workflows: Designing and automating workflows that handle document-related tasks such as approvals and routing to appropriate departments.
• Document Generation: Automatically creating new documents (e.g., contracts, reports) by merging templates with extracted or imported data.
• Version Control and Audit: Tracking changes made to documents and ensuring compliance with regulatory or organizational standards.
• Search and Retrieval: Using search capabilities to quickly locate specific documents or data within the system. Advanced intelligent document processing solutions may include AI-powered search for better contextual understanding.
• Security and Access Control: Protecting sensitive information through encryption and permission settings. This ensures only authorized personnel can view, edit or share the documents.

Document process automation is a powerful tool for managing documents and gaining greater insights into the business. Enterprises that automate document processing can do more with the resources they already have without needing a complete organizational overhaul.

Now that you know the fundamentals of document process automation, let’s discuss the advantages of an automated records management system.

Why Start With Document Automation?

For many enterprises, document process automation offers a low-risk, high-reward entry point into automation.

Instead of trying to solve every business challenge at once, focusing on business document automation allows organizations to get quick wins without disrupting their core operations. This approach is particularly effective for enterprises that deal with large volumes of documents, such as commercial invoices, packing lists, or bills of lading.

5 Benefits of Automation: Maximizing Efficiency

Here are the notable advantages of an automated records management system:

1. Immediate Efficiency Gains

   Organizations that leverage intelligent document processing experience significant efficiency improvements. Instead of manually entering data, a document automation solution extracts the necessary information and inputs it into the system automatically. This frees up your employees to focus on higher-value work while reducing the risk of human error.

2. Improved Accuracy and Compliance

   Among the benefits of automation is reducing the risk of missing or incorrectly processed information, which is particularly important in industries with strict compliance requirements, like customs brokerage and freight forwarding. Document automation solutions integrate compliance rules into templates to ensure every document generated meets the industry standards.

3. Scalability and Flexibility

   Document automation workflow solutions are highly scalable, making it easier for enterprises to expand their automation efforts over time. Starting with one document type enables you to build confidence in the technology before gradually expanding to other document types or business processes. This approach allows you to get the most value out of document automation capabilities without taking on too much at once.

4. Cost Savings

   Enterprises that automate document processing reduce the need for additional administrative staff, cutting down on labor costs. Moreover, automated systems can handle document management more quickly and efficiently, helping you save time and money on routine tasks. With reduced manual labor and improved data accuracy, document process automation can directly impact your bottom line.

5. Improved Collaboration and Workflow

   Another advantage of automated records management systems is creating a seamless flow of information within the organization. Document automation enhances collaboration across departments by ensuring the right documents are routed to the appropriate teams. For example, invoices can be automatically forwarded to the finance department, while contracts can be sent to legal for review, all without manual intervention.

The Challenges of Manual Document Processing

While document creation might appear to be simple, the vast volume of document production at the enterprise level makes document management a progressively complex challenge.

For many enterprises, handling large volumes of paper-based or unstructured data manually often leads to errors and missed opportunities. 

Consider these statistics:

• 60% of service businesses are still paper-based.
• Major enterprises handle at least 40 different document categories and more than 200 document types in the course of their operations.
• 91% of data professionals say that data quality issues, including unreliable data and the lack of a document automation solution, hurt their operations and performance.

Every decision, from layout to content, involves time spent creating a document that could more efficiently be generated when you automate document processing.

The First Step in a Broader AI Strategy

Document automation isn’t just a step forward — it’s a smart starting point.

Automated document processing addresses immediate operational challenges and allows you to build a foundation for long-term AI integration. This fosters trust in AI solutions and prepares your organization for more complex implementations like predictive analytics or supply chain optimization.

However, Pennypacker advises implementing AI within clear rules and checks to keep things right down the fairway. 

“Document automation should begin with the 80-20 rule,” Pennypacker said.

“Start with longer documents first, then move to the long tail.”

When implemented strategically, this approach modernizes business processes and positions your organization to stay competitive in an increasingly digital world.

Schedule a demo with PaperEntry AI today to explore its intelligent document processing capabilities firsthand.

The post Start Smart With AI: Why Document Automation Is the Ideal First Step for Enterprises appeared first on .

Automated processing of commercial invoices and other customs documents offers a viable solution to these problems.

Shiv Ramamurthi, chief product officer at Deep Cognition, points out that artificial intelligence (AI) commercial invoice processing is instrumental in improving business processes, optimizing workflows and delivering cost savings in the freight industry.

“For too long, the variability of commercial invoices has hindered efficient customs clearance processes,” Ramamurthi said.

“With AI-assisted and automated commercial invoice processing, we’re bridging the gap between data complexity and automation, enabling businesses to navigate the intricacies of global trade with confidence.”

The High Costs of Manual Data Entry Processes

Complete and accurate data entry of commercial invoices are crucial for seamless customs compliance. Without this critical document, customs clearance may be delayed or outright denied, leading to legal penalties, hefty storage fees or even returned shipments.

Commercial invoices, however, vary in format depending on the requirements of the shipping destination and any other applicable regulations. This variability poses significant challenges for traditional data entry methods, including:

• Time-consuming and labor-intensive processes
• Error-prone and inaccurate data entry
• Lack of visibility and control
• Inadequate security and compliance risks
• Reconciliation and scalability issues

As businesses seek to optimize workflows, the move towards artificial intelligence document processing becomes not just a choice but a necessity.

“With intelligent document processing’s advanced technology, we’re not just solving a problem; we’re unlocking new efficiencies and possibilities for our partners,” Ramamurthi said.

Consider the case of Savino Del Bene – South Africa, a global logistics and supply chain management company.

How Automated Commercial Invoice Processing Streamlines Business Operations

Manual processing of commercial invoices and other customs documents significantly drains time and resources that could be better allocated to higher-value business activities. 

Intelligent document processing solutions, powered by generative AI, revolutionize data entry for customs clearance by significantly improving efficiency and accuracy.

According to John Pennypacker, vice president of sales and marketing at Deep Cognition, the ability of AI-powered automated commercial invoice processing software to accurately process commercial invoices is crucial for businesses operating in global trade.

“With AI-assisted commercial invoice automation, we’re empowering companies to streamline their customs clearance processes and supercharge their team,” Pennypacker said. 

Is your company still relying on manual commercial invoice processing? Discover how automated commercial invoice processing software can simplify your document processing and enhance your business operations:

1. Faster Processing Times

   Generative AI-powered intelligent document automation allows commercial invoices to be processed at unprecedented speed. Automated commercial invoice data entry systems use advanced technologies to automatically capture and verify commercial invoice data. This process reduces the average processing time from days to minutes.

   Consider the case of the leading logistics company, for example. Through intelligent document automation, data entry processes that previously took 3-4 hours are now being completed in 2-3 minutes with up to 99% accuracy.

2. Reduced Resource Requirements

   Automated commercial invoice data entry systems require less manual labor, freeing up valuable human resources for more strategic tasks. Instead of hiring people for redundant job titles, intelligent document processing solutions enable you to invest more in other business areas that drive growth and innovation.

3. Consistency and Standardization

   Commercial invoice data entry automation standardizes data extraction across various document formats, making it particularly beneficial for global logistics companies dealing with multiple suppliers and jurisdictions.

   Automated commercial invoice processing software also has the capability to extract and interpret data from complex tables and line items, including HS codes, product descriptions and purchase order numbers. This ensures all necessary documentation is generated accurately and meets regulatory requirements, avoiding border delays and costly fines.

4. Up to 99% Accuracy and 90% Cost Reduction

   Artificial intelligence commercial invoice processing systems collect and analyze large volumes of data with up to 99% accuracy. This enables freight forwarders to reduce error rates and gather insights into shipment volumes and business expansion opportunities.

   Moreover, the cost savings can be substantial – as demonstrated in the case of Savino Del Bene S.A., which projected monthly savings of over $100K after implementing AI commercial invoice processing. From reducing resource requirements to minimizing error rates, generative AI-powered intelligent document processing solutions offer up to 90% cost savings compared to manual processes.

5. Seamless TMS/ERP Integration

   Commercial invoice processing automation solutions seamlessly integrate with multiple Transport Management Systems (TMS) and Enterprise Resource Planning (ERP) systems such as CargoWise, Descartes, MercuryGate, Magaya and others. Once the data is extracted from the commercial invoice, it is automatically validated and integrated into the company’s existing infrastructure, eliminating manual data transfers and reducing the risk of errors.

6. On-Prem/Cloud Deployment

   AI-powered commercial invoice process automation systems offer the flexibility of both on-premise and cloud deployment, allowing freight companies to choose the setup that best suits their operational needs. This adaptability ensures companies of all sizes can benefit from AI commercial invoice processing regardless of their IT infrastructure.

How Does Commercial Invoice Data Entry Automation Work?

Intelligent document automation leverages generative AI to streamline the handling of commercial invoices. Here’s how the process typically works:

1. Document Forwarding

   Intelligent document processing begins with document intake. Commercial invoices can be directly uploaded to a designated drive or sent to the system through API or email. This flexibility ensures freight forwarders can easily integrate invoice processing automation into their established processes and workflows.

2. Data Extraction

   Upon receipt, the AI invoice processing software automatically extracts all structured information from the invoices. Advanced artificial intelligence invoice processing technology can identify and extract data such as invoice number, location, number of packages, bill of lading (B/L) and air waybill (AWB) number.

3. Validation

   After extraction, the AI commercial invoice automation system automatically validates the data to ensure accuracy and compliance. This validation process may involve cross-referencing the extracted data with predefined business rules, databases or historical records, guaranteeing errors are minimized and data integrity is maintained.

4. Integration

   The structured data is directly integrated into the company’s TMS/ERP system. This eliminates the need for manual data entry and ensures all necessary parties have access to correct information in real time.

Embrace the Future of Document Management

It’s time to leave outdated processes and use new technology to handle menial, repetitive tasks. Speed up your commercial invoice data entry and improve your business operations with powerful commercial invoice process automation.

PaperEntry AI is a generative AI-powered intelligent document processing tool that sets a new standard for commercial invoice management. While traditional systems struggle with handling complex commercial invoices with varying layouts and formats, PaperEntry AI is up to the challenge.

As Kurt Knapton, CEO of Deep Cognition, aptly puts it:

“As leaders in document processing for customs clearance, we understand the importance of accuracy and efficiency in handling commercial invoices,” Knapton said.

“With PaperEntry AI, we’re not just meeting these demands; we’re exceeding them, setting a new standard for excellence in invoice processing automation.”
Unlock new operational efficiencies and stay competitive in this fast-paced global market with PaperEntry AI. Contact us today to schedule a demo.

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Generative artificial intelligence (AI) offers groundbreaking intelligent document processing (IDP) solutions that empower organizations to rapidly extract, organize and contextualize data into a usable, structured document.

Mandeep Kumar, co-founder and CTO of Deep Cognition, highlighted the transformative potential of generative AI in document workflow automation, saying it’s a game-changer for businesses looking to stay ahead of the competition.

“Generative AI isn’t just about automating data entry,” Kumar said. “It’s about empowering businesses to excel in an increasingly digital world.

“With its ability to handle any document type in any format, platforms like PaperEntry AI unlock new possibilities for efficiency and growth that haven’t been available until now.“

From extracting data from bills of lading, commercial invoices and custom paperwork to ensuring accuracy across documents, AI-powered document automation enables organizations to do more with less.

Generative AI in Intelligent Document Processing

Are manual data entry processes slowing down your freight operations?

The freight industry’s continued reliance on manual processes often results in document backlogs, which lead to delayed shipments and missed opportunities for cost savings and revenue growth.

Intelligent document processing solutions replace inefficient, error-prone and costly manual processes. Unlike traditional AI document processing, generative AI goes beyond simple text recognition. Generative AI document automation software employs advanced technologies, such as Natural Language Processing (NLP) and Large Language Models (LLM), to understand and extract relevant data with remarkable accuracy.

With the best intelligent document processing solutions, you can perform a range of actions that vary in complexity.

Simple tasks include:

• Recognizing a document
• Parsing dates and numbers
• Extracting information

More complex document automation actions include:

• A nuanced understanding of language and context
• Linking information
• Multilingual line and table extraction
• Automatic post-processing

Evidently, the speed, capacity, accuracy and cost savings delivered by AI document processing are nearly impossible to resist. The adoption of document automation software is expected to accelerate even more as generative AI powers big leaps forward in intelligent document processing capabilities and ease of implementation.

According to Kumar, generative AI document automation software will continue to redefine intelligent document processing for modern customs brokers and freight forwarders across the globe.

“Choosing the best intelligent document processing solutions powered by generative AI isn’t just a decision,” Kumar said. “It’s a strategic move towards efficiency and innovation.”

Businesses are unlocking a new domain of possibilities by seamlessly integrating AI document automation into workflows.

AI-Powered Document Workflow Automation Cases

1. Automating Data Entry

   AI-powered document automation software minimizes human errors in data entry and extraction processes. Automating data entry enhances data accuracy and standardizes data preparation.

   Consider the case of a leading logistics company operating in Sydney, Brisbane and Melbourne.

   THE CHALLENGE

   With the rise in eCommerce sales of essential goods such as medical supplies during the pandemic, the company faced immense pressure to deliver within the specified timelines with fewer resources to scope. However, with the “Great Resignation” looming at the time, the logistics firm could not employ more staff or increase operating expenses to meet the operation demands.

   Relying on manual data entry resulted in wasted time, costly data processing and inefficient customs invoice processes.

   THE SOLUTION

   Through document processing AI integration, data entry processes that took 3-4 hours were completed in 2-3 minutes with 99% accuracy. This resulted in 432 hours saved and $3,433 cost savings during the first month of implementation.

2. Document Pipeline Automation

   Billions of documents are processed in freight forwarding. Using manual labor or even traditional document automation to process documents, such as purchase orders, delivery receipts and invoices, is expensive and error-prone.

   AI document processing optimizes end-to-end processes and document handling workflows at scale, accelerating data consumption and summarization.

   Let’s explore the case of Savino Del Bene – South Africa, a global logistics and supply chain management company.

   THE CHALLENGE

   Savino Del Bene — South Africa dedicated 80% of its time to manual data entry and extraction tasks. Manually processing more than 50,000 commercial invoices per year for 2K+ suppliers proved tedious and expensive.

   Besides wasting valuable resources, manual data entry processes resulted in the inaccuracy of captured data.

   THE SOLUTION

   To automate its highly complex data entry, the company integrated PaperEntryAI, one of today’s best intelligent document processing solutions, into its end-to-end process. This document processing AI integration demonstrated remarkable time and cost savings:

   • 11X faster document processing
   • 20,000 pages processed per month
   • $100K+ projected monthly savings

3. Logistics Compliance

   Customs compliance entails accurate and complete documentation throughout the supply chain process. By embracing AI-powered intelligent document processing solutions, you improve your operations’ efficiency, accuracy and transparency.

   In addition, document automation facilitates faster decision-making, which empowers organizations to navigate regulatory complexities and mitigate compliance risks.

   Let’s examine the case of Super Cargo, a leading logistics company providing transportation and handling solutions for vehicles and cargo across the Mediterranean.

   THE CHALLENGE

   Super Cargo receives over 4,000 invoices per month and uses traditional electronic data interchange (EDI) to automatically enter 40% of the data it obtains from suppliers. The company needed AI-powered intelligent document processing solutions to help with the remaining 60% of the data that was not obtained through EDI.

   THE SOLUTION

   Super Cargo implemented AI-powered document automation software to automatically extract, process and send data from the invoices to its information system. Through document processing AI integration, the company was able to process:

   • 30K+ fare invoices
   • 46K+ freight pages
   • 50K+ fare/travel information

Not only did AI document automation save 30 person months, but the accuracy of the extracted information also helped Super Cargo apply control rules that improved commercial practices and policies.

Introducing PaperEntry AI: The Future of Document Automation

From automating data entry to real-time analysis and decision-making, AI document automation is reshaping the way workflows operate.

PaperEntry AI isn’t just another data entry tool; it’s a game-changer for businesses looking to stay ahead in today’s competitive landscape.

“With its unparalleled accuracy and adaptability, PaperEntry AI sets a new standard for document automation,” Kumar said.

Here are the key aspects that make PaperEntry AI one of the best intelligent document processing solutions:

• Any document, any format, no templates
• Generative AI – Large language models (LLM)
• No model training or training data required
• Multilingual line and table extraction
• Quick and easy integration

With a proven track record of delivering up to 99% accuracy and 90%+ time savings, PaperEntry AI enhances operational efficiency and enables businesses to focus on strategic activities that drive operational growth.

Schedule a discovery demo with Deep Cognition to discuss your document automation requirements and explore the features of PaperEntry AI.

The post Elevate Your Business Operations With Unrivaled Document Automation appeared first on .

AI-driven innovation has become integral to modern business strategies, revolutionizing how organizations gain insights, analyze data, optimize operations and make informed decisions.

According to a recent report by PwC, business intelligence AI is projected to contribute a whopping $15.7 trillion to the global economy by 2030, of which $6.6 trillion is likely to come from increased productivity. This data underscores the profound impact of AI in business.

Kurt Knapton, CEO of Deep Cognition, warns that businesses that fail to embrace and capitalize on artificial intelligence trends risk falling behind in innovation and efficiency.

“The pace of technological innovation is accelerating, and businesses that fail to adapt risk falling behind,” Knapton said.

“The future of business belongs to those willing to embrace change and harness the power of AI. With AI-driven innovation, we’re not just preparing for tomorrow; we’re shaping it.”

Is your company equipped to adopt AI in business and thrive in this competitive landscape?

By harnessing AI in industry operations, different market players can tackle complex challenges, maximize growth opportunities and achieve significant advancements.

Understanding the Role of AI in Business

Developing a robust business intelligence AI strategy is about understanding what’s possible and identifying your top priorities where AI can deliver the most value.

Today, machine learning in business is used to:

• Automate repetitive tasks
• Improve demand forecasting, inventory management and logistics
• Strengthen cybersecurity measures
• Improve visibility and coordination across the supply chain
• Minimize the risk of human error

In many ways, the scale of its impact far exceeded expectations. Unlike traditional AI systems, ‘trainingless’ AI doesn’t rely on continuous human intervention to adapt and improve. Its capacity to learn and evolve autonomously makes it highly adaptable to evolving document formats and regulations.

Moreover, the scalability of ‘trainingless’ AI means that as your business grows, your document automation efforts can grow without sacrificing efficiency. Automating data entry and minimizing errors enables organizations to focus their resources on strategic initiatives, ultimately driving higher return on investment (ROI).

Companies that have successfully integrated machine learning in business operations reported significant benefits, including:

• Enhanced efficiency, resulting in faster turnaround times and reduced operational costs.
• More informed decision-making, helping businesses respond swiftly to market changes and customer needs.
• The ability to innovate and scale operations quickly.
• Enhanced risk management that helps mitigate threats proactively and safeguard operations and assets.
• Gaining a competitive edge.
  

Consider the case of Super Cargo, an esteemed logistics company that provides integrated solutions for transporting vehicles and freight in the wider Mediterranean area.

CASE STUDY HIGHLIGHT:

Generative AI for Document Automation

As business operations expand, so does the volume and variety of documents that need processing. Legacy systems often buckle under the strain, forcing companies to make trade-offs between growth and efficiency. Sticking with traditional approaches hinders a company’s ability to gain a competitive advantage.

To future-proof your customs brokerage business, consider embracing generative AI for document automation. This technology can revolutionize your workflow, providing significant advantages in three key areas:

• Time & Cost Savings
  Generative AI can rapidly process and extract information from documents, reducing the time and resources required for manual data entry. This efficiency translates into significant cost savings for your business. Your team can redirect their efforts towards more strategic tasks, enhancing overall productivity.
  
• Scalability
  Generative AI can seamlessly scale with your business, handling a high volume of documents without compromising accuracy or speed. This scalability ensures you can meet the demands of a growing client base without the need for a massive workforce expansion.
  
• Competitive Edge
  Clients increasingly seek partners who leverage cutting-edge technology to provide faster, more accurate and cost-effective services. Adopting advanced AI solutions allows your customs brokerage business to stay ahead of the curve and positions you as an industry leader.

The edge gained from automated, error-free data entry can’t be underestimated. Businesses embracing modern document automation solutions are poised to outpace those clinging to manual and outdated methods in a landscape where every efficiency counts.

How To Leverage AI To Future-Proof Your Business

Deloitte’s “State of AI in the Enterprise” report revealed that 94% of business leaders surveyed agree that AI business transformation is critical over the next five years. However, while some large corporations are starting to see the results of their digital transformation efforts, most struggle to scale for these reasons:

• 30% lack funding for AI technology trends and solutions.
• 29% lack the technical skills to adopt AI transformation.
• 29% struggle to choose the right AI-powered business automation technologies.

To overcome these challenges, organizations must take a strategic approach to business intelligence AI implementation:

1. Assess Current Capabilities

   Begin your digital transformation by evaluating your existing technological infrastructure, workforce skills and organizational readiness for AI integration. Conducting an AI transformation readiness assessment will help you identify gaps or limitations in your existing infrastructure and ensure a smooth integration of AI in industry operations.

2. Identify AI-Related Opportunities and Threats

   Achieving sustainable growth in today’s competitive landscape requires a proactive stance toward identifying and capitalizing on AI-driven opportunities while simultaneously safeguarding against potential threats. Analyze artificial intelligence trends and monitor how competitors are leveraging AI-driven innovation to facilitate informed decision-making and proactive adaptation strategies.

3. Schedule Demos With Different AI Vendors

   This is crucial to getting a better hands-on understanding of the technology and meeting the team that will ultimately guide you in integrating AI into your business transformation. If your team lacks adequate AI training and expertise, it’s essential to partner with AI vendors who can walk you through the process and educate you along the way.

   Check to see which vendors will offer a pilot period during which you can test AI functionality for a small part of your business before jumping in head first. This will allow companies that lack extensive funding to implement AI in industry operations at a fraction of the cost and see their ROI before expanding AI to other areas of their company.

4. Select AI Technology Strategically

   Once you’ve met with different AI vendors and analyzed artificial intelligence trends, leverage this data to choose AI technologies that align with your strategic objectives and growth priorities. To maximize your ROI, prioritize AI transformation solutions that offer scalability, interoperability and compatibility with existing systems.

5. Promote Data Quality and Governance

   Establish clear metrics for data quality, including accuracy, completeness, consistency and timeliness. These metrics serve as benchmarks for evaluating data sets and identifying areas for improvement. Regularly assessing your data quality against these standards will help maintain the integrity of your AI systems and enhance the overall performance of your business automation efforts.

6. Stay Agile and Adaptive

   Continuously monitor AI technology trends, emerging technologies and best practices in data management and AI implementation. More importantly, be prepared to adjust your strategies and infrastructure as new challenges and opportunities arise.

The Cost of Hesitation

Today, many custom brokers still rely on manual methods for their document processing. With human resources allocated to hours of inputting data, manual data entry is both time-consuming and expensive. This energy could be better spent focusing on more value-added tasks.

Additionally, no matter how skilled the workforce is, human error is an inherent risk that businesses must mitigate. Although the error could be as small as one wrong character, its consequences can snowball into legal penalties, customs delays and disruptions in the supply chain.

Embracing AI-driven innovation is critical to any business’s digital transformation journey. Since 2019, the number of businesses that have adopted AI transformation has grown by 270%. Companies that wait to adopt AI may never catch up and struggle with:

• Missed opportunities for efficiency and innovation
• Stagnation in a competitive market
• Ineffective decision-making
• Cybersecurity vulnerabilities
• Scalability challenges talent attraction and retention
• Regulatory compliance
• Long-term viability

It’s evident the future of AI is here, and it’s transforming industries across the globe.

“As we look ahead to 2025 and beyond, it’s clear that AI will be the driving force behind business transformation,” Knapton said.

“By proactively adopting AI technologies, you can stay competitive with leaders in your industry and future-proof your organization against the disruptions to come.”

Now’s the best time to invest in AI business transformation. This involves both adopting AI technologies and fostering a culture of continuous learning and adaptation. By doing so, businesses can remain agile and responsive to market changes.

Embrace the Future of AI With PaperEntry AI

Deep Cognition’s PaperEntry AI offers a unique approach that differentiates it from the competition.

At its core is Generative AI, a game-changing technology that enables PaperEntry AI to be “trainingless.” Unlike conventional AI systems requiring time-consuming training and constant supervision, PaperEntry AI learns from its mistakes and evolves into a smarter, more efficient tool over time. This feature alone places it at the forefront of IDP technology.

With PaperEntry AI, you’re not just keeping pace with technological advancements but embracing them without the cumbersome training processes that other platforms demand. This adaptability ensures your customs brokerage business is well-prepared for the ever-changing tech landscape.

Begin your digital transformation with Deep Cognition’s PaperEntry AI. Contact us today to schedule a demo.

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