Case · Rede Âncora

Intelligent, AI-driven replenishment to cut inventory coverage and grow sales.

01Context

Rede Âncora operated without a structured inventory policy, living with excess stock in some distribution centers and stockouts in others. The model relied on fixed lead-time and safety-stock parameters, without automatic updates, which made replenishment poorly aligned with real demand variation.

02Clavê's role

Redesign the replenishment logic based on real demand behavior, combining a review of operational policy with the use of artificial intelligence to make restocking more dynamic and precise.

03Capabilities engaged
  • Supply and inventory strategy
  • AI applied to operations
  • Demand clustering
  • Inventory policy
  • Operational efficiency
04Impact

Results that sustain the operation.

23%
potential increase in sales
7%
reduction in inventory coverage
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