Forecast promotional results based on supplier offer scenarios to select the most profitable promotion
Learn five critical steps for success
IBM Promotion Optimization improves promotion management by enabling retailers to execute more effective and profitable promotion plans using optimized offers and placements. IBM Promotion Optimization uses advanced consumer demand management science to help retailers develop promotional offers and tactics that increase the total store impact across categories.
IBM Promotion Optimization helps you:
- Develop more profitable promotional plans by optimizing offers and ad placements for more effective and profitable promotion strategies.
- Significantly increase the incremental lift and total store impact of various promotional tactics by using advanced consumer demand management science.
- Strategically plan promotional tactics by combining and forecasting multiple overlapping promotions for a more accurate category forecast.
Develop more profitable promotional plans
Significantly increase the incremental lift and total store impact of various promotional tactics
- Optimize the use of offerings and ad placements to take full advantage of promotional activities.
- Use advanced consumer demand management science to develop promotional offers and placements that increase the total store impact across categories.
Strategically plan promotional tactics
- Quickly determine the optimal discounted price for virtually any item or promoted group item, such as buy one get one, percent off and multiples.
- Determine the optimal use of merchandising support, such as ads and displays, as well as specific placement within an ad.
- Significantly increase the incremental “pull” and total category impact of virtually every promotion.
- Create different scenarios to see what could happen if the promotional tactics were changed.
- Compare multiple iterations of various promotions to identify the right combination of discount and merchandising support.
- Analyze cannibalization between promoted items and regularly priced items within the category, cannibalization between stacked promotions, and the pantry-loading effects of successive promotions.
See a promotion’s impact on revenue, gross margin and unit volume.