Client Overview 

A large U.S.-based food manufacturer and distributor, supplying thousands of grocery stores, restaurants, and retailers nationwide, needed to modernize its data infrastructure. The company relied on multiple legacy on-premise databases to manage supply chain logistics, production data, inventory management, and customer orders. However, data silos, slow processing speeds, and high maintenance costs hindered real-time insights and operational efficiency.

Challenges & Business Needs 

The client faced data fragmentation across multiple legacy databases, creating inefficiencies in tracking inventory levels, demand forecasting, and distribution logistics. Data processing speeds were slow, delaying reporting and analytics for critical business functions. With growing volumes of transactional and IoT data from smart manufacturing systems, the legacy infrastructure lacked scalability to support future growth. Additionally, the company’s IT team was overburdened with daily operations and lacked the bandwidth for a complex migration. Security and regulatory compliance were also key concerns, as the company needed to ensure strict food safety and supply chain traceability standards.

Our Solution 

As a trusted data integration partner, we worked as an extension of the client’s IT team to execute a seamless data migration to Snowflake, a cloud-based, scalable, and high-performance data platform. Our end-to-end approach ensured a smooth transition without disrupting business operations.

Conclusion 

By acting as an extended IT resource, we empowered the retailer to seamlessly modernize its database infrastructure, ensuring a future-ready, high-performing, and cost-efficient environment. Our trusted integration approach not only accelerated the migration but also positioned the client for long-term digital growth and competitive advantage in the retail industry.