Case Study: Major U.S. Food Company achieves 90% accurate inventory and sales reporting with Adeptia

Mapping and Matching Critical Retailer Business Data

A major U.S. food company was struggling to exchange retailer data and maintain visibility into inventory and sales because partners used different SKU numbers and sent information in inconsistent, error-filled formats. With only a 10% sample to estimate store inventory, the company faced major accuracy, revenue, and supply chain risks. Adeptia’s AI-augmented mapping and matching capabilities helped the company automate this complex data integration challenge.

Adeptia matched partner SKU numbers to the company’s internal SKUs and cleansed, organized, and enriched incoming data so it could be used in a standardized format. As a result, Adeptia automated 70% of data exchange, improved inventory and sales report accuracy from 10% to 90%, and helped reduce annual bottom-line expenses by $500,000.