Adaptive Market Research Data Collection System
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Solution Overview
Problem
Current market research data collection methods rely on static sampling frequencies, leading to stale data that is no longer representative of current market conditions due to changes in store universes, such as new openings and closures, resulting in inaccurate metrics and predictions.
Innovation Solution
An edge network with adaptive sample estimation and dynamic data collection using edge computing, IoT sensors, and mobile devices to continuously update sampling frequencies and store universes, ensuring real-time market research data collection and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If static sampling frequencies are used for market research data collection, then operating costs are reduced, but data accuracy deteriorates due to store universe changes
Solution Approach 1:
The patent implements dynamic sampling frequencies that automatically adjust based on detected changes in store universes. The system transitions from static, predetermined sampling intervals to adaptive frequencies that increase when store changes are detected and decrease when stability is confirmed, thereby maintaining data accuracy while optimizing resource utilization.
Solution Approach 2:
The system employs feedback mechanisms where collected market research data is continuously analyzed to detect store universe changes. This feedback loop triggers automatic adjustments to sampling frequencies, creating a closed-loop control system that responds to actual market conditions rather than following fixed schedules.
2Measurement precision
If sampling frequencies are increased to maintain data relevance, then data accuracy improves, but operating costs increase
Solution Approach 1:
The system dynamically adjusts sampling frequencies based on actual market conditions rather than using fixed high-frequency collection. When store universes are stable, sampling frequency is reduced to minimize time loss. When changes are detected, frequency automatically increases to maintain data relevance, achieving an optimal balance between timeliness and resource efficiency.
Solution Approach 2:
The patent changes the parameter of sampling frequency from a constant value to a variable that adapts to market conditions. This parameter change allows the system to collect data at high frequency only when necessary, reducing overall time loss while maintaining data relevance during critical transition periods.
3Measurement precision
If adaptive sampling is implemented to track market changes, then data accuracy improves, but system complexity increases
Solution Approach 1:
The system implements self-service through automated detection and adjustment mechanisms. The system autonomously monitors store universe changes, determines when sampling frequency adjustments are needed, and executes these adjustments without manual intervention. This automation manages complexity by embedding the adaptive logic within the system itself rather than requiring external management.
Solution Approach 2:
The feedback mechanism automates the complex task of determining optimal sampling frequencies. By continuously analyzing data for store changes and automatically adjusting frequencies based on detected patterns, the system manages complexity through algorithmic decision-making rather than manual processes.
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture are disclosed to control auditing devices, comprising a communications interface to transmit first auditing instructions to the auditing devices, a sampling frequency determiner to collect sampling information corresponding to a first number of stores at a first time, a a sample size determiner to calculate a second number of stores to sample based on the sampling information, and when a difference between the first number of stores and the second number of stores satisfies a threshold, improve an accuracy in the sampling information by calculating second auditing instructions having an updated sampling frequency.