Eversight, Inc.

Maplebear Inc.

Jacob Solotaroff

Michael Montero

David Moran

Jamie Rapperport

Jamie Eldredge

Michael Klein

John Brockardt

Lynn Murphy

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.

Systems and methods for contract based offer generation

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.

Promotion offer language and methods thereof

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.

Systems and methods for generating and recommending promotions in a design matrix

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Palo Alto, CA, United States of America

Jacob Solotaroff