Character Personal Shopper System Using AI and Sensors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Brick and mortar stores face challenges in engaging consumers and converting their interest into in-store purchases, as shopping experiences often become disconnected, leading to consumers researching prices online and making purchases from competitors while in the store.
Innovation Solution
A personalized, immersive, and interactive shopping experience is provided through an AI-powered character personal shopper assistant accessible on smartphones, tablets, or store devices, using sensors, cameras, and Bluetooth beacons to offer customized assistance and recommendations based on user location and preferences, leveraging character personalities and machine learning to enhance engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If brick and mortar stores provide traditional shopping assistance (greeters, trained staff), then consumer engagement improves, but operational costs and complexity increase
Solution Approach 1:
The shopping assistant system enables consumers to receive personalized assistance autonomously through their own devices. The system processes consumer requests, retrieves product information, and provides recommendations without requiring human staff intervention, allowing the system to serve itself and the consumers simultaneously.
Solution Approach 2:
The patent replaces the mechanical system of human staff (greeters and trained employees roaming aisles) with an electronic information processing system. The character-based assistant on consumer devices delivers the same engagement function through software, sensors, and communication networks, eliminating the need for physical human presence.
2Loss of information
If consumers use smartphones to research prices online while in-store, then price comparison capability improves, but in-store purchase conversion deteriorates
Solution Approach 1:
The system merges the online price comparison function with the in-store shopping experience by integrating real-time pricing data, product availability, and personalized recommendations directly into the character assistant on the consumer's device. This combines the benefits of online research with offline purchasing without requiring separate actions.
Solution Approach 2:
The system implements real-time feedback loops where the character assistant continuously monitors consumer behavior, location, and preferences, then adjusts product recommendations and pricing information dynamically. This feedback mechanism keeps consumers engaged with the in-store experience by providing personalized, relevant information that responds to their immediate needs.
Data Source
AI summary
Shopping assistance using an interactive character is provided on a shopping device in a retail store. Input requesting assistance from a character displayed on the shopping device is received on the shopping device. The input is processed. A response is determined based on the input and a character personality profile for the character displayed. The response is generated through the character on the shopping device, providing shopping assistance.