Arrotex Pharmaceuticals: Replenishment Planning with Demand Forecasting
Case study showing how Arrotex integrated automated replenishment with demand forecasting to cut pharmacist ordering time and reduce labor and transport costs.
Arrotex Pharmaceuticals implemented Algo's automated replenishment platform to combine seasonal and store-level demand signals into fortnightly dispensary orders. The project reduced the time pharmacists spent monitoring stock, lowered warehouse and transportation costs, and shifted staff focus to customer service. The case study outlines the challenges of manual ordering in a pharmacy network and the operational changes achieved through integrated planning.
Integrated replenishment and demand forecasting reduced manual stock monitoring by pharmacists
Fortnightly automated orders cut labor and transportation costs in stores and warehouse
Seasonal and store demand spikes are now factored into replenishment calculations
Pharmacists shifted time from ordering tasks to customer advice and service
Phase 1 rollout covered dispensary and over-the-counter drug categories
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