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Supply chain optimization

Forecast demand. Replenish with confidence.

Planning and replenishment, from vendor to shelf.

The system forecasts demand by item and location and generates replenishment orders within your rules; planners set policy and manage exceptions.

A store shelf where customers take units, the warehouse bay that a light reads against safety stock and your rules, and the order card the system writes: replenishment proposed within the rules, one order held for the planner. The next stock is drawn into the store's empty facings.
store · salesread + checkedsafety stockvendororder · proposed in rulesplanner review

store · sales → read + checked against safety stock and your rules → order · proposed in rules · one held for the planner

interactive — pick a capability to see how it works

every SKU · every location

Demand forecasting

The engine forecasts every SKU at every location, at the granularity your decision needs — daily store-item up to monthly vendor totals.

The system, state by state

  1. SignalSales, inventory, and calendar events by item and location.
  2. ContextDemand models plus your safety-stock policies and operating rules.
  3. RecommendationA proposed replenishment order for every store-item.
  4. ActionOrders generated within the rules you set.
  5. ReviewPlanners manage the exceptions; every order stays traceable.

From business case to production.

We assess the decision, design the system, build it into production, and operate it — scope and price agreed before each stage.

Assess → Architect → Build → Operate and transfer

People define the objective, policies, thresholds, and exceptions. CoreTech systems forecast, recommend, or automate within those boundaries. Low-confidence and high-impact cases return to people, and actions remain traceable.

On your infrastructure or in a secure cloud approved for the engagement, depending on architecture and governance requirements.

Tell us what you want to improve.