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Automation Drives Supplier Collaboration

Keith Chua
May 14, 2019
Data Extraction Engine Interface

Customers today demand faster, highly personalized products at a lower cost, all while expecting complete supply chain transparency. To meet these demands, global manufacturers must achieve total visibility into upstream quality and delivery processes.

The Legacy Integration Bottleneck

Achieving upstream visibility is difficult because supply chain players operate on highly fragmented, incompatible software systems. For decades, the industry standard workaround has been exporting static data to Excel and emailing it back and forth for manual monitoring.

For a global retailer managing hundreds of thousands of decentralized vendors, this creates a massive operational bottleneck. Hiring an army of data analysts to consolidate, verify, and untangle error-prone Excel files is not a scalable strategy.

Instead of forcing thousands of vendors to migrate to a centralized, proprietary portal, the most efficient solution is to automate the retrieval, extraction, and validation of the data formats they are already using.

Deploying an Intelligent Extraction Engine

Lineverge recently partnered with a global footwear brand to automate this exact workflow using Automail. The objective was to drive seamless supplier collaboration without requiring any behavioral changes from the vendors themselves.

Our extraction engine connects directly to the company’s email servers. It autonomously authenticates security, downloads attachments, and leverages artificial intelligence to extract unstructured data from incoming Excel files. If the engine detects a formatting error, data discrepancy, or missing field, it automatically triggers a comprehensive feedback email to the supplier with clear calls to action—entirely bypassing manual human intervention.

Agile Integration

Once the data is cleanly extracted and validated, it is automatically routed into the enterprise's existing supplier management and BI applications. This allows stakeholders to shift their focus from manual data entry to strategic analysis and exception management. This architecture not only drastically reduces overhead costs, but its lightweight, API-driven nature allows it to be deployed in weeks—without having to rebuild legacy business applications.

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