Case Study: Large Food & Beverage Company reduces waste and improves forecasting with Syniti

Harnessing Real-Time Data with Databricks Reduces Waste and Enhances Forecasting

Large Food & Beverage Company, a major pork producer and processor based in Smithfield, Virginia, needed a faster way to move and analyze data across its operations. With only a short six-week product lifecycle and tight shipping, labor, and perishability constraints, delays in reporting risked spoilage and unnecessary waste. The company turned to Syniti and Databricks to support real-time reporting, forecasting, and analytics across ERP and operational data.

Syniti implemented Databricks Lakehouse Platform with data replication and low-code CDC to mirror ERP data into Databricks on Azure every five minutes, creating a single source of truth for dashboards, governance, and analysis. This gave the company up-to-date visibility into materials, customers, vendors, and inventory, while improving forecasting and enabling better integration of IoT and ERP data. As a result, Large Food & Beverage Company reduced waste, improved operational agility, strengthened data governance, and gained more accurate, real-time insights for planning and production.