Retail Recommendation System for Event-Based Outfit Coordination

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Solution Overview

Problem

Retail stores often lack sufficient time to provide personalized clothing coordination ideas to each customer, leading to missed sales opportunities.

Innovation Solution

An information processing system comprising a mirror signage and a store server that authenticates customers, acquires their action information, presents event-related information, and derives merchandise items based on customer preferences and event selections, using a generative AI model to suggest personalized coordination ideas.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If store clerks provide personalized coordination ideas to customers, then customer service quality improves, but serving time per customer increases beyond available time

Engineering Contradiction:
Improvecustomer service qualityVSAvoidserving time per customer
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system enables customers to receive personalized coordination suggestions automatically through image recognition technology. The imaging device captures customer images, the generation unit creates personalized coordination ideas based on these images, and the output unit presents these ideas to customers without requiring store clerk intervention, thus achieving self-service functionality that resolves the time constraint while maintaining service quality

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of manual coordination suggestion by store clerks with an automated information processing system. The imaging device, generation unit, and output unit work together to automatically generate and present personalized coordination ideas, substituting human labor with technological systems that can process multiple customers simultaneously without time constraints

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If store clerks suggest personalized coordination ideas to each customer, then sales opportunities increase, but the number of customers that can be served decreases

Engineering Contradiction:
Improvesales opportunitiesVSAvoidnumber of customers served
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

By implementing self-service through automated image recognition and coordination suggestion generation, the system can serve multiple customers simultaneously without requiring proportional increases in store clerk numbers. Each customer receives personalized attention through the automated system, maintaining high service quality while increasing the total number of customers that can be served

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The automated coordination suggestion system serves as a universal solution that can handle multiple customers with diverse needs simultaneously. The generation unit processes different customer images and generates appropriate coordination ideas for each, demonstrating multi-functionality that allows the system to serve a larger customer base without sacrificing individualized service or sales opportunities

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250285163A1Information processing device and information processing method
Publication Date: 2025.09.11 TOSHIBA TEC KK
  • US20250285163A1 patent drawing
  • US20250285163A1 patent drawing
  • US20250285163A1 patent drawing

AI summary

According to one embodiment, an information processing device and an information processing method that enables a suggestion of a personalized coordination idea to a customer are provided. An information processing device according to an embodiment includes: a specifying unit that specifies a customer visiting a store; an acquisition unit that acquires information about an action of the customer specified by the specifying unit; a first presentation unit that presents, to the customer, event information indicating an event correlated with the action of the customer, based on the information about the action of the customer acquired by the acquisition unit; a derivation unit that derives a merchandise item to be suggested to the customer, based on event information selected by the customer from among the event information presented by the first presentation unit; and a second presentation unit that presents the merchandise item derived by the derivation unit to the customer.