Market Strategy Identification System for Automated Insight Prioritization
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Solution Overview
Problem
Current market analysis methods are inefficient in identifying actionable insights from vast data sets, leading to delayed and incomplete strategic decisions due to the manual processing of business intelligence reports, which often miss hidden insights and fail to provide timely recommendations.
Innovation Solution
A market strategy identification system that utilizes machine learning to analyze real-time market data, determine target market strategies, and prioritize actions across levers such as pricing, promotion, assortment, and in-store execution, automating the generation of actionable reports and alerts for market analysts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processing of business intelligence reports is used, then analysts can review and interpret data, but the process is slow and delays strategic decisions
Solution Approach 1:
The patent replaces manual mechanical analysis processes with an automated machine learning system that processes market data, generates insights, and prioritizes actions automatically, eliminating the time-consuming manual review of business intelligence reports
Solution Approach 2:
The system enables self-service market analysis by automatically processing data, generating actionable insights, and prioritizing strategic actions without requiring manual analyst intervention for each analysis cycle, thereby accelerating decision-making
2Reliability
If manual analysis of billions of data points is performed, then comprehensive market coverage is achieved, but the process becomes inefficient and incomplete
Solution Approach 1:
The patent substitutes manual data analysis with an automated machine learning system that can efficiently process billions of data points while maintaining comprehensive market coverage and generating reliable actionable insights
Solution Approach 2:
The system processes excessive data (billions of data points) to ensure comprehensive market coverage, then uses machine learning to efficiently identify and prioritize the most relevant actionable insights from this extensive dataset
3Loss of information
If traditional business intelligence reports are generated, then data is presented for review, but hidden insights are missed and recommendations are not timely
Solution Approach 1:
The patent replaces traditional report generation with an automated machine learning system that actively identifies hidden insights in real-time and immediately prioritizes actionable recommendations, preventing loss of information and ensuring timeliness
Solution Approach 2:
The system implements continuous feedback loops that monitor market data in real-time, automatically identify hidden insights as they emerge, and immediately generate prioritized actionable recommendations, ensuring neither information loss nor delay
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture are disclosed to control market strategy adjustments. An example apparatus includes a target principle generator to determine a target principle of a product based on at least one lever, the at least one lever indicative of an adjustable parameter corresponding to the product, an execution analyzer to compare in-market data of the product to the target principle of the product, a score generator to determine an aggregate score of the product based on the comparison, and an output generator to reduce discretionary input of an analyst by generating an output, the output including the aggregate score of the product and a recommended adjustment to the at least one lever.