New York, NY, United States of America

Michael Sandare

This inventor holds 1 USPTO granted patent. Top assignee: Maplebear Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Sandare. Retrieved from https://idiyas.com/inventor/michael-sandare

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Michael Sandare and Smart Shopping Cart Anomaly Detection

Introduction

Michael Sandare is an inventor associated with New York, NY (US), and Maplebear Inc. His patent work addresses how retailers can identify potentially fraudulent behavior involving smart shopping carts while a customer is shopping.

Latest Patents

Sandare is credited with 1 patent: “Management System for Automatic Determination of Anomaly Behavior for User of a Smart Shopping Cart.” The invention describes a computer system that gathers data about a shopper’s physical activity in a retailer’s location as the shopper adds items to a smart shopping cart. A computer model analyzes the data for anomalies that may indicate fraudulent behavior. If the detected anomalies meet a specified threshold, the system alerts the retailer’s management system so that remedial action can be taken before the shopper leaves the store.

Career Highlights

Sandare’s listed patent highlights an application of data analysis and computer modeling to retail operations. It focuses on detecting suspicious activity in a physical shopping environment and enabling a timely response by the retailer.

Collaborations

Sandare’s listed coworkers include Ruoruo Zhang and Christopher Benjamin. The patent’s retail-focused system reflects work connected with Maplebear Inc.

Conclusion

Michael Sandare’s patent describes a system for detecting potential anomalies in smart-cart shopping activity and notifying retailers so they can respond before a customer leaves the store.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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