Dynamic Online Product Catalog Automation
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Solution Overview
Problem
Existing online product catalogs are static, offering limited product selections, fixed pricing, and are labor-intensive and costly to maintain, unable to keep up with real-time changes in product availability and popularity.
Innovation Solution
A dynamic online product catalog system that aggregates product data from multiple sources, using search robots to continuously update and select products based on predefined criteria, including price, availability, and popularity, allowing for real-time changes and personalized offerings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static online product catalog is used, then the catalog structure is simple and easy to maintain, but the product selection is limited and cannot be updated in real-time
Solution Approach 1:
The patent implements a dynamic catalog system where product data is continuously updated in real-time based on changing availability, pricing, and popularity from multiple product providers. The system transitions from static to dynamic by using automated search robots and selection criteria that adapt the catalog content continuously without requiring manual intervention, thus increasing adaptability while managing complexity through automation.
Solution Approach 2:
The system aggregates product data from multiple different product providers through a single unified interface. The selection mechanism can filter and choose products based on various criteria (price, availability, popularity) from diverse sources, making the catalog system universal in its ability to handle multiple product providers and types while presenting a cohesive catalog to users.
2Reliability
If manual updates are performed to keep the catalog current, then the product information accuracy is maintained, but the labor cost and time consumption increase significantly
Solution Approach 1:
The system implements self-service through automated search robots that continuously monitor product providers and automatically update the catalog based on predefined selection criteria. The system serves itself by autonomously fetching, filtering, and updating product data without human intervention, thereby maintaining information accuracy while dramatically improving update efficiency and reducing labor costs.
Solution Approach 2:
The system establishes feedback loops where product data is continuously monitored from providers, evaluated against selection criteria, and automatically updated in the catalog. This closed-loop feedback mechanism ensures information accuracy is maintained through systematic verification while eliminating manual update processes, thus resolving the contradiction between reliability and productivity.
3Adaptability or versatility
If the catalog includes products from multiple product providers, then the product variety increases, but the data aggregation and management complexity increases
Solution Approach 1:
The patent introduces an intermediary selection mechanism that sits between multiple product providers and the catalog. This intermediary automatically receives data from various providers, applies standardized selection criteria (price, availability, popularity), and filters products before adding them to the catalog. This mediator simplifies data aggregation complexity by automating the integration process while maintaining high product variety from multiple sources.
4Ease of operation
If fixed pricing is used in the catalog, then the pricing management is simple, but the catalog value to users decreases
Solution Approach 1:
The system implements dynamic pricing by continuously fetching current price information from multiple product providers and automatically updating the catalog. Prices are no longer fixed but change in real-time based on provider pricing, availability, and popularity data. This dynamic approach maintains pricing management simplicity through automation while significantly enhancing catalog value to users through current, competitive pricing information.
Data Source
AI summary
The present invention relates particularly to a system and method for providing product data for use in on-line product catalogs used for promotional schemes, such as loyalty and incentive schemes. Loyalty and incentive systems are well known, where participants gain virtual currency which they can use to purchase goods or services. The present invention enables a plurality of on-line catalogs to be constructed from a stream of supplier data. Selection criteria are used to select product data from the supplier data to go in each catalog. The product data can be updated in real time for each catalog on the basis of the selection criteria.