Basket Recommendation System Patent Grant
Summary
The USPTO granted Patent US12591918B2 to Maplebear Inc. for an automated basket recommendation system. The system allows an online platform to solicit basket opportunities from retailers, score their bids using a computer model, and populate user baskets with items from the winning retailer's catalog. The patent covers 20 claims relating to auction-based product bundling and recommendation algorithms.
What changed
The USPTO granted Patent US12591918B2 to Maplebear Inc. (inventors: Shrikar Archak, Shishir Kumar Prasad) for a method of automatically generating baskets of items to recommend to users. The system communicates basket opportunities to retailers, receives bids, applies a computer model to score bids, selects a winning bid, and populates the basket with items from the winning retailer's catalog. The patent is classified under CPC codes G06Q 30/0601, G06Q 30/0631, and G06Q 30/08.\n\nThis is a patent grant notice rather than a regulatory rule, so it does not impose compliance obligations on third parties. The primary implications are for Maplebear Inc., which now holds exclusive rights to this basket recommendation technology. Other companies developing similar auction-based recommendation systems should review this patent to assess potential licensing needs or design-around considerations.
Source document (simplified)
Automatically generating baskets of items to be recommended to users of an online system
Grant US12591918B2 Kind: B2 Mar 31, 2026
Assignee
Maplebear Inc.
Inventors
Shrikar Archak, Shishir Kumar Prasad
Abstract
Embodiments relate to automatically generating a basket of items to be recommended to a user of an online system. The online system communicates a basket opportunity to a group of retailers, wherein the basket opportunity defines a plurality of item categories each associated with a respective item to be included in a basket. The online system receives, from each retailer in response to the basket opportunity, a respective bid of a plurality of bids for the basket opportunity. The online system applies a computer model to each bid to determine a score for each bid and selects a winning bid for the user based on determined scores for the bids. For each item category, the online system populates the basket with a respective item from a catalog of a retailer that is associated with the winning bid. The online system then presents the basket with items to the user.
CPC Classifications
G06Q 30/0601 G06Q 30/0631 G06Q 30/08
Filing Date
2023-05-26
Application No.
18202768
Claims
20
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