Information Processing Device for Store Merchandise Update Detection
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Solution Overview
Problem
Customers frequently miss opportunities to purchase new or updated merchandise as they lack awareness of changes in product locations or availability within a store, relying solely on visual inspection during visits.
Innovation Solution
An information processing device and method that extracts the last visit date from customer history, identifies areas with changed or new merchandise by analyzing temporal relationships between product arrangement areas and sales modes, and outputs this information to a customer terminal for easy navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If customers rely on visual inspection during store visits to discover new or updated merchandise, then they can identify product changes, but they may pass through areas without discovering new merchandise or miss purchase opportunities
Solution Approach 1:
The system performs preliminary actions by extracting the customer's previous visit date and proactively identifying new or updated merchandise in their favorite areas before the customer arrives. This allows the system to prepare and present relevant information (merchandise updates, locations, and images) when the customer visits, eliminating the need for customers to manually search through all store areas and ensuring they don't miss any new products.
2Reliability
If customers manually check all store areas for new merchandise, then they can discover updated products, but they may not pass through all areas or miss discovery opportunities
Solution Approach 1:
The system implements self-service by automatically performing the merchandise discovery function that would otherwise require customer effort. The system autonomously extracts visit history, identifies favorite areas, detects new or updated merchandise in those areas, and presents the information to customers. This eliminates the need for customers to manually search through all store areas while ensuring reliable discovery of new products in their preferred locations.
3Loss of information
If the system provides comprehensive merchandise information to all customers, then customers can find new products, but the system complexity increases
Solution Approach 1:
The system applies local quality by customizing information delivery to each customer's specific preferences and behavior patterns. Instead of providing comprehensive merchandise information to all customers uniformly, the system identifies each customer's favorite areas based on their visit history and selectively provides information only about new or updated merchandise in those specific areas. This targeted approach reduces system complexity while ensuring customers receive relevant information about product changes in their preferred locations.
Data Source
AI summary
In an embodiment, an information processing device and a program capable of performing purchase support and sales promotion support of a merchandise to be sold in a store are described. An information processing device includes an extraction unit configured to extract a previous visit date from a use history of a customer who visits a store. An identification unit of the device configured to identify, based on relationship information indicating a temporal relationship between a plurality of areas for arranging products provided in the store and sales modes of the products arranged in the areas, those areas for which the merchandise whose sales mode has changed from a previous visit date to a current visit are arranged. An output unit of the device is configured to output information indicating the arrangement area or areas identified by the identification unit.