Product optimization crawler and monitor

US11257100B2 · kind B2 · utility

Assignee

• SAP SE · DE

Inventors

• Iuliia Konstantinova · Wiesloch, DE
• Ralph Debusmann · Ludwigsburg, DE
• Michail Vasiltschenko · Schriesheim, DE
• Anton Snitko · Edingen-Neckarhausen, DE
• Günther Fischer · Schallstadt, DE

Key dates

• Filing date: Dec 18, 2018
• Grant date: Feb 22, 2022
• Expiry date: May 27, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0282
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Disclosed herein are system, method, and computer program product embodiments for crawling feedback sources and generating a product improvement recommendation. In an embodiment, a Product Optimization Crawler and Monitor (POCM) system may crawl feedback comments from different sources such as an Internet source or a customer feedback database. The POCM system may apply artificial intelligence, natural language processing, and constraint modeling techniques to the feedback comments to identify product features as well as a feedback category corresponding to the product feature. The feedback category may include a positive, negative, or neutral feedback category. Using this information, the POCM system may generate a summary of the feedback from different sources and/or generate product improvement recommendation. The product improvement recommendation may include suggesting that a component from a first product be replaced with a similar component from a second product.