The AI engine measures metrics such as promotion lift, price elasticity, residual basket value, item importance and customer centric data for a holistic view of historical promotion effectiveness to determine overall value.
%
reduction in planning time
Customers saw a 50% reduction in overall planning time
Our intuitive interface allows non-technical business users to harness the power of machine learning that is fully integrated with supply chain processes. The output from our forecasting engine provides granularity by week, store, item and various promotion types and mechanics.
%
reduction in stock-outs
31% reduction in stock-outs during heavy promotion campaigns materially improves promotion profit.
Price & Promotion Manager’s Optimize module identifies the optimal price, mechanic and promotional scope to maximize various P&L objectives. Our optimization algorithms can incorporate cannibalization, cherry picking, pantry loading and missed cross-selling and upselling opportunities. The result is reducing missed dollar opportunities and minimizing promotions that attract the wrong type of customer who offers a reduced level of engagement.
%
improvement in forecast accuracy
Customers experiences a 30% improvement in forecast accuracy.
Just a few popular merchandising systems we integrate with
Mix and Match Modules to Build a Solution that Generates the Greatest Return on Investment
Price & Promotion Manager Learn module measures historical mass promotion activities and automatically generates robust recommendations to empower more intelligent promotion planning.
Price & Promotion Manager Activate module considers all available data to empower decisions through machine learning generated store level forecasts.
Price & Promotion Manager Optimize Module identifies the optimal price, mechanic and promotional scope to maximize various P&L objectives. The goal is that users will eventually be able use the system to automatically generate net new promotions and mechanics.