Case Study: a major food manufacturer achieves real-time supply chain KPI monitoring with Sigmoid

American Multinational F500 Food Manufacturing Company reaches real-time KPI visualization in 1 month with Sigmoid

The customer, an American multinational F500 food manufacturing company, faced challenges with its fragmented supply chain reporting processes. Their legacy infrastructure had scattered data sources, making it difficult to monitor essential KPIs like delivery times and order accuracy. They engaged Sigmoid to create a centralized data lake and automated data pipelines to standardize information, eliminate human errors, and reduce processing times for freight cost reconciliation.

Sigmoid developed automated data pipelines using AWS Glue and Redshift to process and standardize the data into a centralized domain layer. This solution provided a Single Source of Truth and enabled real-time KPI visualization. The results included faster, error-free reporting, the elimination of consistent financial discrepancies, and a streamlined freight reconciliation process that reduced costs. Sigmoid established a strong data foundation that allowed for the effortless integration of new supply chain use cases.