Demand Shaping
RoadmapPromotion planning. Price elasticity. Trade spend allocation. Retailer calendar alignment. The decisions that actively shape demand, not just try to predict it.
What makes this a distinct decision domain
Demand shaping introduces decision variables, promo depth and timing, price point, trade spend allocation, assortment, that the demand forecasting agents take as given. The exogenous information is competitive pricing, retailer activity, promotional calendars. The objective function shifts from cost–service to margin and growth.
The policy class is CFA / learned PFA on a weekly-to-monthly cadence, with price elasticity and cannibalization as the core learned models.
Why it belongs on the same platform
A promotion without a lift forecast feeding into replenishment creates service failures. A service failure without promo context creates the wrong root-cause diagnosis. Autonomy writes shaping decisions into the same world model the supply and inventory agents plan against, so replenishment responds to the lift, and post-promo learning updates the elasticity model for the next cycle.
Roadmap
Demand Shaping is on the roadmap. Design partners wanted, especially from CPG and retail where promotion depth and trade spend drive a material share of demand.
This plane intersects with
Where the collaboration contract lives, not an integration project.
Demand Shaping × Demand Forecast
Lift attribution against baseline calibration, jointly owned elasticity surfaces.
Demand Shaping × Supply Planning
Promo surge commits vs pre-build and pre-position cost.
Portfolio × Demand Shaping
Launch-window promo eligibility and launch lift curves.
Want to shape Demand Shaping?
Early design partners influence the policy modules, KPIs, and governance surface for this domain.