Clearing the Document Bottlenecks in Your Supply Chain Operations with a “Skills” Approach

Supply chains are the lifeline of consumers and industries alike, and they are especially vulnerable to disruptions. We’ve all experienced the impact of disruption, especially in the past two years, but disruption is compounded with fierce competition—forcing tight schedules and thin margins. Supply chains run on documents at every point in their processes, from sourcing to shipping to customs clearances and payments, and the ability to handle documents directly impacts a company’s resilience, adaptability, competitive position, and profits.

Yet the approaches to handling documents is antiquated, often relying on legacy optical character recognition (OCR) procedures enhanced with robotic process automation (RPA) workarounds. What if there was a better way?

Overcome unstructured content as an obstacle to automation in logistics.

Start with understanding documents

Documents are containers of vital information to any supply chain operation. Sourcing and onboarding suppliers, for example, requires the exchange of packets of documents ranging from Supplier Agreements, Letters of Credit, Proofs of Identity and ability to pay, Certifications, and more. Shipments require Bills of Lading, Sea or Air Waybills, Customs Declarations, Invoices including Commercial Invoices, Tax, and Dangerous Goods Declarations in some cases. It is fair to say that documents are both the facilitators of supply chain actions and serve a vital vetting function throughout the process.

supply chain workers using AI skills

All too often, technology providers and companies are quick to reduce documents to data problems for systems of record, and this set of assumptions creates its own vulnerabilities to disruption and competition. Instead, documents contain both valuable data and content—the latter requiring skilled reading and context-grounded interpretation to make quick decisions. Skilled workforces interact with documents and content for this express purpose, since data only provides part of the picture needed to make critical decisions that move shipments or source materials and services every day. Artificial intelligence (AI) can add the dimension of skilled reading to documents, filling in that missing link between experience and data, but supply chains have yet to realize its potential for transforming their operations.

Add document ‘skills’ to your operations

If a skilled, trained, and experienced workforce were not required, the “document problem” would have been solved a decade ago, but the reality is that these skills and experience are needed frequently to make decisions on content—decisions on sourcing, shipping, and receiving. Data extraction is sufficient in most cases, and straight-through processing of documents at 90 percent or better has become a common expectation. But even that level of efficiency requires some built-in Content Intelligence in the tools, and the rest requires advanced decision-making skills.

Having the right tools with experienced, human-like skills built in with new-generation AI and machine learning (ML) is the way to achieve higher processing accuracy and the exception handling and decision-making needed in normal activity and disruption. Containerized pre-trained “document skills” offer the right approach to handle both the volume and complexity of supply chain documents.

No longer do you need big capture platforms or frameworks to get the operational benefits of document skills. With the help of AI with pre-trained containerized document “skills” (pre-trained actions that understand the document, not just the data, but the actions needed to be taken on it), supply chains can finally remove common bottlenecks and gain control of the document-driven processes that all levels of business operations rely on—Transport & Logistics to Accounts Payable (AP) payment processing.

Want to optimize your Transportation & Logistics operations for rapid change?

We have a skill for that.

Visit ABBYY Marketplace

A marketplace approach

Speed is the key to customer satisfaction and competitive advantage in Transportation & Logistics. That is precisely the idea behind the new ABBYY Marketplace, the first digital marketplace for processing and understanding enterprise documents that provides a rich collection of content skills, connectors, and assets. Many of the top shippers and logistics providers, and many cloud-based companies, are providing their business users and citizen developers the best-in-class document and content processing with our easy-to-use, configurable, and pluggable platform, which is ready to use within minutes.

Learn more about how ABBYY is helping Transportation and Logistics providers in supply chains become more nimble through the power of low-code / no-code in ABBYY Vantage and Marketplace — preloaded with skills developed by ABBYY and by our partners to automate all types of content-centric processes. With over 30 years of making document processing work for enterprises, ABBYY puts that experience to work in Vantage as the most complete and modern solution to Intelligent Document Processing.

Explore ABBYY Marketplace

Digital Transformation Content Intelligence Transportation & Logistics Robotic Process Automation (RPA)
Reggie Twigg ABBYY

Reginald J. Twigg

Ph.D., Director Product Marketing at ABBYY

With a research background in Communication Theory, including Semiotics, Linguistics, and Speech Pathology, Reginald Twigg has been in Enterprise Software for the past two decades focusing on automating document processing applications (specifically, Capture and Enterprise Content Management - ECM) with emerging AI, ML, NLP and hyper-automation technologies.

Developing the earliest natural language processing (NLP) applications for ECM, later with Artificial Intelligence and Machine Learning (AI, ML), has led their introduction into Document Imaging and Capture while at FileNet and IBM. Now at ABBYY, a leader in intelligent document processing, he currently manages its enterprise markets for Digital Intelligence and Intelligent Document Processing.

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