30% Faster Inventory Reconciliation with AI for Manufacturing

The client is a leading UK-based manufacturer and distributor of building products, with operations spanning multiple production facilities and distribution centers. They specialize in supplying essential materials such as windows, doors, cladding, and related products across the country. With complex, high-volume inventory transactions occurring daily, the organization relies on precise, real-time stock visibility to maintain efficiency across manufacturing and logistics operations. Unveiling Success Revolutionizing Inventory Reconciliation with AI-Powered Automation Across manufacturing and distribution, maintaining inventory accuracy is one of the biggest operational challenges. Frequent transactions, manual adjustments, and complex ERP codes often lead to data mismatches and delays in reconciliation. The client’s existing system, built on Microsoft Navision, recorded all inventory transactions through Item Ledger Entries. However, the coded fields and varying adjustment types made it difficult to interpret the data. Business teams struggled to identify root causes behind discrepancies without the help of technical experts, leading to time-consuming investigations and slow decision-making.

Challenge

Client's Challenges Complex ERP data structures made variance analysis time intensive. Manual reconciliation led to delays and inconsistent interpretations. Dependence on technical teams for SQL queries slowed resolution.

Solution

Our Solutions Implemented Karl, Kanerika’s Data insights AI agent, to automatically interpret ERP data and simplify variance analysis through natural-language insights. Trained Karl on real transaction data and business logic to automate reconciliation, ensuring faster, accurate, and explainable variance detection. Deployed a Data Dictionary framework that translated coded ERP fields into business-friendly terms, enabling self-service insights for business users.