Promo planning is moving from spreadsheet uplift guesses to models that learn nonlinear price elasticity, mechanics, cannibalization and store differences.1
Retailers can test scenarios before launch and adjust future orders as actual sales arrive.2
The financial stakes remain high because post-promo excess can erase the margin won during the event.3
4 episodes
LEAFIO AI explains how clean data, model selection and process controls improve trade promotion forecasting.
LEAFIO AI leaders show how ML improves promo forecasts, reduces overstock, and links promotions to profit.
Brad Mirtchler shows how ML improves grocery promo forecasts, replenishment, and post-promo inventory.
LEAFIO AI forecasts promotional demand, adjusts supplier orders, and reports results by store and SKU.
