Application 01
Existing-product demand
Probabilistic demand at the level where decisions are made, reconciled across product, store, channel, region, and time.
Retail
Forecast retail uncertainty. Optimize the decisions it changes.
Use RabbitHawk for one retail forecast, one optimizer, one complete application loop, or connected decisions across demand, buying, inventory, commercial activity, and store operations.
Measured client outcomes
Multinational apparel retailer
- Reduction in new inventory
- 52%Reduction in new inventoryobserved sales revenue maintained during the evaluated period
- Reduction in MASE
- 96%Reduction in MASEversus saved legacy forecasts at style × colour × store × brand
- Reduction in manual workload
- 90%Reduction in manual workloadfrom weeks to hours
- Decision cycle
- 3 wks → 1 dayDecision cyclefrom debate to coordinated action
Retail applications
Start with the capability or operational decision that matters now
These applications share a product foundation, but they do not have to be deployed together. Connect them only where information, uncertainty, objectives, and constraints materially change another decision.
Application 02
New-product and buying decisions
Product attributes, imagery, time-safe analogues, and uncertain hypotheses support cold-start forecasts, initial buys, and early-sales updates.
Application 03
Inventory and replenishment
Optimize stock against service, margin, lead time, budget, MOQ, and working-capital constraints.
Application 04
Price, promotion, and markdown
Model response and optimize commercial actions without confusing a revenue aspiration with expected demand.
Application 05
Store traffic and workforce
Connect workload uncertainty to staffing, skills, availability, labour rules, service, and cost.
Application 06
Forecast interventions
Capture local and commercial knowledge, preserve the baseline, selectively reforecast, and learn from the outcome.
Coherent planning
Forecast at the level of action. Reconcile across the business.
A buying decision may start at style-colour-size. A workforce decision may start at store-hour. Finance still needs coherent category, region, channel, and enterprise totals. RabbitHawk preserves those relationships rather than creating disconnected numbers for each team.
For new products or noisy histories, Product Intelligence can contribute uncertain attributes, analogues, audience, occasion, adoption, and seasonality hypotheses to a global probabilistic model. Those hypotheses are inputs to validate, not deterministic popularity scores.
01
Enterprise
One coherent probabilistic view
02
Region and channel
Decision-ready uncertainty
03
Store and product
Detail at the point of action
Three ways to begin
Modular by deployment, connected by design
One capability
Forecast or optimize one problem
Deploy existing-product demand, new-product forecasting, inventory optimization, workforce, or another bounded capability.
One application loop
Connect forecast, decision, and outcome
For example, connect new-product demand to initial buy, allocation, early-sales learning, and the next reorder or markdown.
Connected decisions
Model interactions that change value
Share information across applications or jointly optimize decisions only when their objectives and constraints genuinely interact.
Joint optimization is a capability, not an implementation requirement.
Keep an incumbent forecast
Already have retail planning software?
Forecast Interventions can preserve its baseline while RabbitHawk captures local and commercial knowledge, selectively reforecasts affected demand, and measures what each intervention contributed.
Start with one retail decision
Tell us whether you need a forecast, an optimizer, an operational loop, or better interventions around the system you already use.
Talk to us