Harvard Drug Inventory Optimization Case Study

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Harvard Drug Inventory Optimization Case Study

Case study showing how Harvard Drug replaced Excel-based inventory processes with Manhattan Inventory Optimization across four warehouses.

Published

June 4, 2026

Read time

3 min read

Source

Manhattan Associates

Harvard Drug implemented Manhattan Inventory Optimization to replace manual spreadsheets and unify replenishment across pharmaceutical distribution channels. The solution enabled demand forecasting, reduced obsolete stock, and improved buyer productivity by shifting focus from data formatting to analytics. Results included 430 basis point fill rate gains, 35% reduction in obsolete inventory, and stronger cash flow within one year of go-live.

Key takeaways

Replaced Excel spreadsheets with automated inventory optimization across four warehouses

Fill rates improved 430 basis points year-over-year with 6% sales growth in institutional division

Obsolete inventory reduced 35% through proactive demand forecasting and replenishment

Buyer time on spreadsheet tasks dropped from 20% to near zero, enabling analytics focus

Standardized processes allowed cross-division buyer flexibility and faster onboarding

Market overview

SCR methodology note

Vendor landscape

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Implementation considerations

Important consideration

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