Abstract: Systems and methods for a contract-based offer generator is provided. A contract for a promotional offer on a product is received. Data is extracted from the contract. An offer band is accessed, and a plurality of test offers are selected from the offer bank by scoring each offer in the offer bank against the extracted data. The promotional offer and the selected plurality of test offers are deployed in a plurality of retail locations. This is done by maximizing orthogonality between the following variables: store sales, store out of stock rates, number of relevant SKUs carried in each store, temporal effects, discount depth, buy quantity and offer structure.

Abstract: Systems and methods for optimizing pricing of products within a retailer are provided. Such systems and methods include determining a set of products to be included in an elasticity computation. Next, the number of days to collect transaction logs for a given product is determined, responsive to sales volumes for each given product. These transaction logs are then collected and used to compute the elasticities for these products. Products that were not included for calculation of elasticities have elasticities imputed for them. A set of constraints are received. Optimal prices are then generated based upon the objectives, rules and price elasticities.

Abstract: Systems and methods for a contract-based offer generator is provided. A contract for a promotional offer on a product is received. Data is extracted from the contract. An offer band is accessed, and a plurality of test offers are selected from the offer bank by scoring each offer in the offer bank against the extracted data. The promotional offer and the selected plurality of test offers are deployed in a plurality of retail locations. This is done by maximizing orthogonality between the following variables: store sales, store out of stock rates, number of relevant SKUs carried in each store, temporal effects, discount depth, buy quantity and offer structure.

Abstract: Methods and apparatus for implementing a promotion offer language architecture for representing offer. The promotion offer language architecture includes at least an offer type field and an offer expression field. The offer type field pertains to the type of offer. The offer expression field pertains to identification of items that the offer applies to and/or the condition required to receive the benefits of the offer type. The item is identified by a quantity and a product identification.

Abstract: Systems and methods for the generation of a promotional design matrix with recommendation overlay are provided. A product, discount, quantity and offer structure selection are received from a user, or are imputed based upon previous offers. Variants for the discount vale and quantity are generated by incrementing these values. The quantity and its variants are each assigned to a column of a design matrix, while the discount and variants are assigned to the design matrix rows. At each intersection of a row and column of the design matrix a plurality of offer structures based upon the offer structure selection is generated. The system applies recommendation logic to flag offers that are most likely to be successful based upon their performance, feasibility and diversity. This flagging may include placing an icon, such as a star, next to the recommended offers.

Abstract: Systems and methods for the generation of a promotional design matrix with recommendation overlay are provided. A product, discount, quantity and offer structure selection are received from a user, or are imputed based upon previous offers. Variants for the discount vale and quantity are generated by incrementing these values. The quantity and its variants are each assigned to a column of a design matrix, while the discount and variants are assigned to the design matrix rows. At each intersection of a row and column of the design matrix a plurality of offer structures based upon the offer structure selection is generated. The system applies recommendation logic to flag offers that are most likely to be successful based upon their performance, feasibility and diversity. This flagging may include placing an icon, such as a star, next to the recommended offers.

Abstract: Methods and apparatus for implementing a promotion offer language architecture for representing offer. The promotion offer language architecture includes at least an offer type field and an offer expression field. The offer type field pertains to the type of offer. The offer expression field pertains to identification of items that the offer applies to and/or the condition required to receive the benefits of the offer type. The item is identified by a quantity and a product identification.