Web Service Event Planning Package Configuration
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Solution Overview
Problem
Current online commerce systems face challenges in efficiently planning and executing events due to information overload and inefficiencies in filtering relevant products and services, particularly on mobile devices, which hinders users in finding and purchasing necessary goods and services for events.
Innovation Solution
A web service system that automatically configures packages of goods and services by utilizing multiple knowledge data engines to provide intelligent, pre-selected options based on user inputs, integrating with e-commerce platforms and social media trends, inventory availability, and customer preferences to streamline event planning and purchasing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If current filtering metaphors are used to help users find products and services, then users can access information, but information overload occurs and filtering efficiency deteriorates
Solution Approach 1:
The patent introduces an intermediary system (the web service platform with automated configuration engines) that mediates between users and the vast array of products and services. This intermediary automatically filters, organizes, and presents relevant items based on user inputs and event parameters, eliminating the need for users to manually filter through overwhelming information while reducing system complexity through automation.
Solution Approach 2:
The system employs self-service mechanisms where automated configuration engines and knowledge data engines independently analyze user inputs, event parameters, and product/service databases to generate optimized configurations without requiring manual intervention. This self-service approach efficiently handles information filtering and configuration generation, reducing both information overload for users and operational complexity for the system.
2Productivity
If users manually plan and shop across multiple vendors for event goods and services, then they can find needed items, but time and effort are excessively consumed
Solution Approach 1:
The system performs preliminary actions by pre-configuring packages of goods and services based on event type, parameters, and user preferences before users need them. The automated configuration engines prepare optimized item combinations in advance, and users can directly select from these pre-prepared configurations, eliminating the time-consuming manual shopping and planning process across multiple vendors.
Solution Approach 2:
The patent merges multiple functions (product search, service selection, configuration optimization, and purchasing) into a single integrated web service platform. By combining these previously separate tasks into one unified system that automatically generates and presents configured packages, the platform dramatically improves event planning productivity while minimizing the time users need to invest.
3Ease of operation
If configured packages are automatically generated based on multiple data engines, then purchasing efficiency is enhanced, but system complexity increases
Solution Approach 1:
The complex system architecture is segmented into distinct, modular components: knowledge data engines that handle specific data types, configuration engines that process event parameters, and package generation modules that assemble final configurations. This segmentation allows each component to specialize in specific functions, making the overall complex system manageable and maintainable while providing users with simplified, easy-to-use package selection interfaces.
Data Source
AI summary
A online planning service system method enabling users to select and purchase presorted goods for an event comprising the steps of: saving a product table referencing products for sale; saving configured packages based on products available from said product table; saving selections representing various types of events from which a user may choose; saving configured packages matched to selected events; displaying consumer facing options on a client system of a first user; generating by a computing device processor one or more configured packages of goods corresponding to consumer facing option inputs received by said first user and from data from a determine best package knowledge engine that grows in intelligence over time; displaying configured packages of goods; displaying total cost of each configured package; receiving instructions for one or more of; processing a sale and saving information input by the first user; executing said instructions from the first user.