توزيع المخزون على مواقع تتنافس عليه

المشكلة

Supply-chain teams needed to place limited inventory across locations while balancing expected demand, service levels, holding cost, and transfer constraints. Those constraints are only solvable together. Correcting one at a time - closing a service gap here, then a transfer cost there - produces a sequence of locally reasonable moves that add up to a worse plan, and planners were doing exactly that across thousands of product-location decisions every cycle.

ما بنيناه

We built a pipeline that estimated demand by product and location, calculated allocation priorities, applied stock and logistics constraints, and generated recommended transfers and replenishment quantities alongside scenario dashboards.

ما توقّف عليه

Infeasibility reporting and logged overrides kept it operationally credible - the system stated plainly when the requested service levels could not all be met, and let local knowledge modify a recommendation without concealing the tradeoff being made.