The client is a British multinational health, hygiene and nutrition company delivering across different product lines to 200+ geographic markets. They manage a complex supply chain with 40,000+ retailers across the globe.
The CPG company manages a complex supply chain with 40,000+ retailers. They need accurate demand forecasting to maintain SKU availability across regions. To predict weekly demand, procure raw materials and schedule production, they used multiple data pools in SAP and JDE systems.
Factoring in parameters like sales, trends and seasonality, they generated weekly reports for forecast quantity vs. actual sales. However, these manual reports turned out to be inaccurate and incomplete. Due to a lack of unified visibility into system metrics including logistics and stock level, they faced internal conflicts across functions.
Hence, they partnered with Hitech Analytics team build a robust demand forecasting model to:
A thorough root-case analysis by Hitech Analytics data scientists of their existing forecast model revealed challenges like:
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Hitech Analytics team delivered a customized demand forecasting solution to the client that helped to:
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