Camera-Based Store-Local AI for Privacy-Safe Merchandise Promotions
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Solution Overview
Problem
Generative AI systems in cloud environments for promotional services lack optimization to specific stores, leading to unintended merchandise recommendations and potential exposure of customer personal information.
Innovation Solution
An information processing apparatus and method that utilizes a local generative AI system installed in stores to analyze customer features and position, generating personalized promotional content optimized for in-store merchandise, while ensuring customer privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud-type generative AI systems are used for promotional services, then the system can provide general promotional content, but customer personal information may be exposed and the system cannot be optimized to specific stores
Solution Approach 1:
The patent segments the promotional service system into cloud-based general promotion generation and local store-specific optimization components. The generative AI runs in the cloud to create general promotional content, while local devices at each store receive and adapt this content to specific store merchandise and customer demographics, preventing personal information exposure while maintaining store optimization
Solution Approach 2:
The patent introduces an intermediary layer between the cloud generative AI and store customers. This intermediary (local store system) receives general promotional content from the cloud, adapts it to local merchandise inventory and store-specific customer characteristics, and delivers personalized promotions without transmitting sensitive customer personal information to the cloud
2Productivity
If cloud generative AI is used, then promotional content can be generated automatically, but the content may recommend merchandise not actually sold by the store
Solution Approach 1:
The patent applies preliminary action by pre-configuring each local store system with its specific merchandise inventory information and store characteristics before receiving promotional content. When general promotional content is generated in the cloud, the local system immediately filters and adapts it based on pre-loaded store-specific data, ensuring recommendations match actual store inventory while maintaining automated generation efficiency
Solution Approach 2:
The patent implements feedback mechanisms where the local store system continuously monitors which promoted merchandise is actually available and performs well. This feedback is used to refine the adaptation process, improving the accuracy of merchandise recommendations over time while maintaining high automated generation productivity
Data Source
AI summary
According to one embodiment, an information processing apparatus includes a processor and a camera interface connectable to a camera to receive camera images captured by the camera. The processor detects a feature of a customer of a store within a camera image, generates first text information corresponding to the detected feature of the customer, then inputs an inquiry text incorporating the first text information to a generative AI model to generate second text information for a promotion of a merchandise item sold at the store. The second text information can be sent to an output device in the store such as a display screen or a speaker.