Abstract: Predicting demand of a product offered in multiple channels for a seller that has a plurality of physical store channels and one or more virtual channels, may comprise obtaining transaction log data having records of sales transactions with location identifiers in the one or more virtual channels. The one or more virtual channels may be segmented by locations based on locations of the physical stores and the location identifiers in the transaction log data. A demand model may be estimated by location that incorporates demand for the multiple channels in that location and captures cross-effect of said multiple channels in the same location based on historic sales and transaction data. Integrated price optimization may be performed across all channels and locations that compute one or more prices for each virtual channel and one price for each location in the other channels while also satisfying a plurality of inter-channel and inter-locations constraints.

Abstract: Techniques are described for generating benefits reports for a markdown optimization system. As described herein, a markdown optimization system executes markdown optimization software that applies to compute markdown schedules for retailers. In addition, the markdown optimization system applies techniques to reliably approximate and quantify the benefit derived by a given retailer from using of a computed markdown schedule instead of utilizing a user-defined schedule.

Abstract: Techniques are described for generating benefits reports for a markdown optimization system. As described herein, a markdown optimization system executes markdown optimization software that applies to compute markdown schedules for retailers. In addition, the markdown optimization system applies techniques to reliably approximate and quantify the benefit derived by a given retailer from using of a computed markdown schedule instead of utilizing a user-defined schedule.

Abstract: A system and method for tuning markdown plans is provided. Such a system and method may include configuring initial rule set. Initial Demand models are generated. A first optimization for inventory pricing may be received from the price optimization system. The first optimization uses the initial demand models and cost data. A markdown plan is generated by applying the initial rule set to the first optimization. The plan is implemented. Updated data may be received which mandates a re-optimization of the plan. Demand models are refreshed using the updated data. Initial rule set is updated by cross referencing plan history with the initial rule set and subtracting rule events that have previously occurred. A second optimization is received which uses the refreshed demand models and cost data. Then, the markdown plan is re-optimized by applying the updated rule set to the second optimization. The re-optimized markdown plan is reported, approved and implemented.