Case Study: a $8B consumer packaged goods enterprise achieves 91% forecast accuracy and 29% inventory reduction with Zymr

a $8B consumer packaged goods enterprise achieves 91% forecast accuracy with Zymr

The client, an $8 billion consumer packaged goods enterprise, faced significant challenges with forecast inaccuracies and fragmented planning processes across its vast portfolio of over 15,000 SKUs. These issues led to inventory inefficiencies and impacted service levels, prompting the company to partner with vendor Zymr for a modern, data-driven demand planning and S&OP solution.

Zymr implemented an AI-driven, integrated platform for the client, which included machine learning-based demand sensing, SAP IBP integration, and real-time retailer POS data feeds. This solution automated S&OP workflows and provided advanced inventory optimization. As a result, Zymr helped the client achieve a 91% forecast accuracy, a 29% reduction in inventory carrying costs, and an 18% improvement in service levels across all channels.