Demand Planning Canonical URL: https://babadook.tech/sub-modules/demand-planning Entity: sub-modules Content hash: 0d3f9d76c1ad29eb5a0ed3ddf51d776fda7daa012a62bfbc6457d02e71c83243 Stop arguing about the forecast — version it, test it, and let accuracy decide. Forecast meetings run on the same theater as project status: the loudest model wins until reality audits everyone. Demand Planning replaces theater with versioning — statistical baselines, human overrides tracked against them, accuracy reviews both sides can see. The forecast that earns trust is the one that survived comparison. Planning cycle Each stage below moves signals toward executable supply — sensed, planned, and committed with the evidence to defend every number. data Viz data View section: stages Sense Orders, forecasts, and service demand fuse into signals with overrides versioned against statistical baselines. Bias stays visible instead of hiding. Solve Deterministic solvers generate replenishment, transport, and labor plans with execution profiles. Infeasible stretches return certificates, not partials. Commit Accepted plans convert to purchase, transfer, and roster actions with owner gates. Commitments carry their input snapshots for later review. Demand guarantees - Signal lineage: Orders, forecasts, and service demand cited as plan inputs with versions - Replayable runs: Identical inputs reproduce identical plans with execution profiles - Honest infeasibility: Binding constraints named with sensitivity instead of silent partials - section: capabilities Demand by industry Demand sensing bends per industry — same signal lineage, different volatility stakes. data Viz data View section: industries Retail SKU-level forecasts with seasonality, promotions, and store-cluster patterns. Replenishment reacts to sell-through daily instead of weekly buyers' hunches. Manufacturing Program and order-driven demand with BOM explosion into component plans. Engineering changes replan affected branches with the revision cited. Food and Agriculture Seasonal and weather-influenced demand with harvest windows constraining supply. Perishability horizons shape lot sizing before waste happens. Demand Planning questions Section 1 What happens when a plan is infeasible? The solver returns a certificate naming the binding constraints with sensitivity analysis, instead of a silent partial plan. Planners adjust constraints and rerun. Section 2 How do forecast overrides work? Overrides version against the statistical baseline with author, reason, and effective dates — both lines stay visible so accuracy reviews stay honest. Section 3 Sales always overrides the forecast. How do we stop the gaming? You don't stop it — you score it. Override accuracy reviews show whose judgment beats the model and whose doesn't, and the conversation shifts from politics to evidence. data View section: faqs content section value: Planning truth feeds operations: demand plans drive replenishment, labor plans staff shifts, and transport plans book capacity — all from the same signals, all replayable from the same sealed inputs. Section 6 Demand sensing from orders, forecasts, and service signals Section 7 Replenishment and transportation plan generation Section 8 Deterministic solver runs with execution profiles Section 9 Infeasibility certificates with sensitivity analysis Relationships products - XRP — https://babadook.tech/products/xrp modules - Planning and Intelligence — https://babadook.tech/modules/planning-intelligence