Cross-Channel Customer Data Integration for Online Shop Targeting
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Solution Overview
Problem
Existing systems fail to effectively provide useful information about online shops to customers using data from real shops, limiting cross-channel marketing opportunities.
Innovation Solution
An information providing apparatus and method that acquires customer information from real shops, including purchase history and action history, to generate and transmit relevant online shop information to customer terminals, such as product recommendations and promotions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If customer information from real shops is utilized to provide online shop information, then customer engagement and sales promotion opportunities are enhanced, but system complexity and data integration requirements increase
Solution Approach 1:
The patent merges real shop customer information (purchase history, action history) with online shop information to create integrated customer profiles. This combining of data from different channels enables cross-channel marketing while managing complexity through unified data structures and standardized integration protocols.
Solution Approach 2:
The information providing apparatus is designed with multi-functional capabilities to handle both real shop and online shop data processing. The system can generate various types of information (product recommendations, promotions, personalized offers) from unified customer data, making it adaptable to different marketing scenarios across channels.
2Loss of information
If detailed customer information is collected and processed, then personalized information can be provided to customers, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing of customer information by pre-generating product recommendation lists, customer segments, and promotion templates based on purchase history and action history. This advance preparation reduces real-time processing requirements when personalized information needs to be delivered to customers.
Solution Approach 2:
The patent extracts only the most relevant customer information features needed for specific marketing purposes rather than processing all available data. By selectively extracting key attributes from customer profiles, the system reduces computational load while maintaining personalization quality.
Data Source
AI summary
An information providing apparatus (10) includes a customer information acquisition unit (110) and a first information transmission unit (120). The customer information acquisition unit (110) acquires customer identification information and first customer information of the customer in association with each other. The first customer information includes at least one of a first purchase history being a purchase history of a customer at a real shop and an action history of the customer in the real shop. The first information transmission unit (120) generates online shop information being information to be provided to the customer in relation to an online shop by using the first customer information and transmits the online shop information to a customer terminal operated by the customer.