Demand Forecasting

Turns sales, inventory, branch and operational signals into demand forecasts and replenishment recommendations for the owner, buyer or branch manager. It is especially relevant when fixing SQL joins that duplicate products, deriving days until stockout, or documenting demand-driven planning assumptions.

Use When

• The owner asks how many days each product has before it runs out, per shop or branch.
• Reorder points, safety stock and suggested order quantities are needed from sales and stock data.
• A sales and stock query or report shows the same product several times because tables are joined before aggregation.
• Promotions, returns, voids or stockout days are distorting the demand figures.
• The forecast needs back-testing with WAPE, bias and missed stockouts before anyone trusts it.

Do Not Use When

• meta-budget-planner for dividing the marketing budget and working back from a revenue target.
• social-commerce-strategy for catalogue, WhatsApp ordering and fulfilment content.
• Stop when sales or stock history is missing or duplicated; flag the gap instead of guessing demand.