Deal Generation System Using Historical Performance Filtering
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Solution Overview
Problem
Small and medium-sized businesses (SMBs) face challenges in effectively generating deals that maximize revenue and customer acquisition, as existing deal generation methods lack a systematic approach to identifying high-performance deal characteristics and selecting optimal deal providers.
Innovation Solution
A processor-based system and method that analyzes previous deals within a specific industry to identify high-performance deal characteristics and select suitable deal providers, generating deals tailored to specific business goals by filtering performance data and thresholds, and transmitting them to approved providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If SMBs manually create deals without systematic analysis, then deal creation is simple and quick, but deal performance and revenue maximization are suboptimal
Solution Approach 1:
The system performs preliminary analysis of historical deal data and industry benchmarks before generating new deals. By pre-processing performance data, identifying high-performance characteristics, and establishing performance thresholds in advance, the system prepares optimized deal parameters before the actual deal creation, ensuring high-performance outcomes without requiring complex real-time decision-making
Solution Approach 2:
The patent introduces an intermediary software application that acts as a mediator between raw business requirements and optimized deal configurations. This intermediary system automatically analyzes performance data, applies filtering criteria, and generates optimized deal characteristics, eliminating the need for businesses to directly manage complex analytical processes while maximizing deal performance
2Productivity
If SMBs use generic deal generation methods, then implementation is easy, but customer acquisition and revenue optimization are limited
Solution Approach 1:
The system applies local quality by tailoring deal characteristics to specific industry segments and business types. By analyzing performance data categorized by industry, deal type, and business characteristics, the system generates customized deal parameters optimized for each local context rather than applying uniform generic rules, thereby maximizing customer acquisition effectiveness for different business scenarios
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting deal characteristics based on analyzed performance data. The system modifies key parameters such as pricing structures, discount levels, duration, and target customer segments by comparing against high-performance benchmarks, automatically optimizing deal parameters to maximize customer acquisition while maintaining ease of implementation through automated parameter adjustment
3Measurement precision
If SMBs lack access to performance data analysis, then operational simplicity is maintained, but deal optimization and competitive advantage are lost
Solution Approach 1:
The system implements self-service by enabling businesses to automatically collect, analyze, and apply their own performance data without requiring external analytical resources. The software application directly accesses deal performance metrics, automatically identifies high-performance characteristics through built-in analysis algorithms, and generates optimized deal recommendations, allowing businesses to serve their own data analysis needs without complex external systems
Solution Approach 2:
The patent incorporates feedback mechanisms by continuously monitoring deal performance data and using these results to refine future deal generations. The system establishes performance thresholds based on historical data, measures actual deal outcomes against these thresholds, and feeds this information back into the deal generation process to continuously improve measurement precision and optimization effectiveness
Data Source
AI summary
A method for generating a deal for a business, including identifying a deal goal of the business, obtaining a plurality of previous deals issued by a plurality of businesses, identifying a plurality of performance data items relating to the plurality of previous deals, filtering the plurality of previous deals to identify a plurality of previous deal characteristics, selecting a plurality of high performance deal characteristics from the plurality of previous deal characteristics, generating a plurality of deal characteristics for the deal, identifying a first deal provider and a second deal provider from a plurality of deal providers, generating the deal including the plurality of deal characteristics, receiving an approval of the deal, and transmitting the deal to the first deal provider and the second deal provider.