Automated Marketing Strategy Generation via Customer Behavior Pattern Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current retail marketing strategies fail to utilize dynamic customer data effectively, resulting in only 75% of customer data being used for generating marketing strategies, leading to limited and generalized approaches that do not account for individual customer reactions and environmental factors.
Innovation Solution
A computer-implemented method that identifies patterns in customer purchase behavior and environmental data to generate optimized marketing strategies by parsing event data associated with customers, including metadata on their actions and biometric responses, to increase sales of related items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data mining techniques are used to gather customer profile data, then marketing strategies can be generated based on customer profiles and purchase trends, but the strategies remain generalized and do not account for actual customer reactions to product placement or environmental factors
Solution Approach 1:
The patent replaces manual observation and human analysis of customer behavior with an automated computer vision system. The system uses image processing algorithms to automatically detect, track, and analyze customer movements, product interactions, and environmental factors in retail stores, eliminating the need for manual data collection while capturing comprehensive behavioral data that was previously lost.
Solution Approach 2:
The patent introduces video data as an intermediary medium between customers and the marketing system. Instead of directly surveying customers or relying on self-reported data, the system uses video recordings as an intermediary to capture actual customer behavior, product interactions, and environmental context, thereby obtaining authentic reaction data without direct customer input.
2Loss of information
If video monitoring devices are used to record customers, then actual customer behavior and environmental factors can be captured, but the data requires human review and is currently used only for store security
Solution Approach 1:
The patent implements self-service data processing by enabling the video monitoring system to automatically analyze, process, and generate marketing insights without human intervention. The system uses automated algorithms to detect customer behavior patterns, product interactions, and environmental factors, transforming raw video data into actionable marketing strategies independently.
Solution Approach 2:
The patent makes the video monitoring system multi-functional by enabling it to serve both security purposes and marketing purposes simultaneously. The same video data collection infrastructure is used to capture customer behavior information for marketing analysis, eliminating the need for separate data collection systems and reducing overall device complexity.
3Productivity
If only static customer profile data is used, then marketing strategies can be generated efficiently, but they fail to account for dynamic customer reactions and real-time environmental factors
Solution Approach 1:
The patent performs preliminary processing of video data by continuously capturing and pre-processing customer behavior patterns, product interaction data, and environmental information in real-time. This preliminary action enables the system to quickly generate and update marketing strategies based on current conditions without delaying the overall marketing decision-making process.
Solution Approach 2:
The patent transforms the marketing strategy generation process from static to dynamic by continuously updating strategies based on real-time video data analysis. The system adapts marketing recommendations dynamically in response to changing customer behaviors, product performance, and environmental factors, enabling real-time optimization while maintaining efficient processing speeds.
Data Source
AI summary
A computer implemented method, apparatus, and computer usable program product for generating an optimized marketing strategy for improving sales. The process parses event data to identify patterns of events associated with a selection of a selected item by each customer in a plurality of customers and selection of at least one item in a set of items related to the selected item. The process identifies events in the patterns of events that result in a purchase of at least one item in the set of related items by the customers to form optimized events. The process then generates a marketing strategy using the optimized events. The marketing strategy comprises a set of strategies for increasing purchases of items in the set of related items by the customers.