KeHE Case Study: Manhattan Demand Forecasting and Replenishment Implementation

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KeHE Case Study: Manhattan Demand Forecasting and Replenishment Implementation

Case study of KeHE Distributors implementing Manhattan Active Inventory Demand Forecasting and Replenishment across 16 DCs, achieving 5% inventory reduction and 5% spoilage reduction.

Published

June 4, 2026

Read time

3 min read

Source

Manhattan Associates

KeHE Distributors replaced legacy inventory tools with Manhattan Demand Forecasting and Replenishment to support growth and improve customer service. The solution was rolled out to all 16 North American DCs during the COVID-19 pandemic. Key capabilities include self-tuning forecasting policies, automated exception management, and Customer Centric Inventory Optimization (CCIO). Results included higher service levels, reduced inventory, and lower spoilage across the network.

Key takeaways

Implemented Manhattan Demand Forecasting and Replenishment in 16 distribution centers

Achieved 5% inventory reduction and 5% spoilage reduction

Used Customer Centric Inventory Optimization (CCIO) for demand forecasting

Maintained implementation schedule during COVID-19 with remote collaboration

Improved service levels across all DCs after full rollout

Market overview

SCR methodology note

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Important consideration

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