Systems and methods for deriving platform feedback data for dynamic retrieval by downstream subsystems

US10949861B2 · kind B2 · utility

Assignee

• CaaStle, Inc · US

Inventors

• Chandrashekhar Naik · Bengaluru, IN
• Ashish Pawar · Aalborg, DK
• Georgiy Goldenberg · Los Altos, US
• Bharat K. Gupta · Fort Lauderdale, US
• Pankaj NAUTIYAL · New Delhi, IN
• Vikas Gupta · Jaipur, IN

Key dates

• Filing date: Apr 16, 2019
• Grant date: Mar 16, 2021
• Expiry date: Apr 16, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0282
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Disclosed are methods, systems, and non-transitory computer-readable medium for deriving platform feedback data from raw feedback data for dynamic retrieval by downstream subsystems. For example, a method may include detecting a return notification trigger of a user, identifying segment data, determining a return notification form identifier based on the segment data, loading an electronic return notification form corresponding to the return notification form identifier, receiving raw feedback data from the user device, deriving platform feedback data from the raw feedback data using a plurality of mappings stored in one or more electronic mapping databases, and storing the platform feedback data in at least one of a feedback service component and a return notification service component, in one or more formats configured for retrieval by one or more downstream subsystems associated with managing and/or analyzing the one or more wearable items.