Cross-sell Product Analytics via Session Event Mining
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Solution Overview
Problem
Current web analysis solutions for cross-selling products require manual configuration of rules and lack automated insights to maximize sales strategies by identifying products sold together.
Innovation Solution
An experience analytics system that determines cross-sell products and metrics by analyzing session events, allowing users to view and refine product recommendations based on historical sales data, providing an interface for browsing products by category, brand, or specific items and displaying cross-sell data with key performance indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual configuration of rules is used for cross-selling, then implementation is simple and direct, but productivity is low and sales strategy optimization is limited
Solution Approach 1:
The system automatically analyzes session events and generates cross-sell recommendations without requiring manual rule configuration. The analytics engine self-services by collecting data, processing it through association rule mining algorithms, and presenting actionable insights to merchants, eliminating the need for manual intervention while significantly improving productivity
Solution Approach 2:
The patent replaces manual mechanical rule-configuration processes with automated computational algorithms. Instead of manually creating and maintaining cross-sell rules, the system uses data-driven algorithms to automatically discover product associations and generate recommendations, substituting human effort with automated intelligence
2Loss of information
If comprehensive sales data analysis is performed, then merchandising insights are improved, but device complexity increases
Solution Approach 1:
The system segments the complex analytics process into distinct functional modules: session event collection, data processing, association rule mining, and recommendation generation. Each module handles a specific aspect of the analysis, making the overall complex system manageable and maintainable while comprehensive insights are achieved through the coordinated work of these segmented components
3Productivity
If automated cross-sell recommendations are implemented, then sales strategy is maximized, but implementation complexity increases
Solution Approach 1:
The patent introduces an intermediary analytics engine that sits between raw session data and cross-sell recommendations. This intermediary layer processes complex data through standardized algorithms and presents simplified actionable insights to merchants, bridging the gap between complex automated analysis and simple implementation while maximizing sales performance
Data Source
AI summary
Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for presenting cross-sell products. The program and method provide for receiving indication of a user selection to display cross sell data for at least one product made available for purchase by a website; determining a set of cross-sell products for the at least one product, each cross-sell product in the set of cross-sell products having been previously sold together with the at least one product in association with website; determining, for each cross-sell product in the set of cross-sell products, a set of metrics that relate the cross-sell product to the at least one product; and causing, for each cross-sell product in the set of cross-sell products, display of the respective set of metrics that relate the cross-sell product to the at least one product.