Sales Facility Advertising Triggering via Boundary Conditions
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Solution Overview
Problem
Existing methods for delivering product-related advertising messages in sales facilities are inefficient, particularly in areas like food and drink markets, as they do not effectively account for customer disposition and external conditions, leading to suboptimal sales promotion.
Innovation Solution
A method and device that utilize data collection and analysis, including weather conditions, time of day, customer tracking, and sales data to optimize the timing and content of advertising messages, ensuring they are delivered when customers are most receptive, using individualized customer identification and centralized data processing to evaluate and enhance advertising effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advertising messages are presented continuously or triggered only by customer presence detection, then customers are constantly exposed to advertising content, but the efficiency and receptiveness of the advertising messages deteriorate due to customer distraction and lack of timing optimization
Solution Approach 1:
The system performs preliminary analysis of boundary condition data (weather, temperature, time) and sales data to determine optimal advertising moments before actually presenting advertising messages. This advance preparation allows the system to trigger messages only when conditions are favorable, rather than continuously or reactively.
Solution Approach 2:
The system establishes a feedback loop by analyzing sales data resulting from advertising messages and using this information to optimize future message timing. The correlation between boundary conditions, advertising message presentation, and actual sales performance creates a closed control system that continuously improves effectiveness.
2Measurement precision
If targeted advertising is implemented using customer tracking and identification systems, then advertising precision is improved, but system complexity and cost increase significantly
Solution Approach 1:
The system extracts and utilizes readily available boundary condition data (weather conditions, temperature, time of day) and anonymized sales data from existing facility systems, rather than implementing complex real-time customer tracking. This extraction approach achieves targeted advertising effectiveness using simpler, already-present data sources.
Solution Approach 2:
The system leverages existing data infrastructure within the sales facility (sales records, environmental sensors) to perform self-analysis and optimization of advertising timing, eliminating the need for external complex tracking systems. The facility's own operational data serves the advertising optimization function.
3Productivity
If advertising messages are delivered without considering external conditions and customer disposition, then system simplicity is maintained, but advertising efficiency and sales impact deteriorate
Solution Approach 1:
The system uses a multi-functional approach by analyzing diverse boundary condition data (weather, temperature, time) and sales data through a single data processing platform that determines optimal advertising timing. This universal system handles multiple data types and functions (environmental monitoring, sales tracking, timing optimization) integrated into one solution.
Solution Approach 2:
The system monitors and responds to changes in boundary condition parameters (weather conditions, temperature fluctuations, time of day) to dynamically adjust advertising message timing. By detecting parameter changes in the environment and correlating them with sales data, the system adapts advertising delivery to optimal moments without requiring complex customer-specific tracking.
Data Source
AI summary
In a method and a device for controlling the issuing of advertising messages in a sales facility, wherein boundary condition data such as weather conditions and temperature data are detected by means of detection devices arranged inside and outside the sales facility and correlated with effective quantities of sold products promoted by advertising messages. The issuing of advertising messages is triggered in a targeted manner as a function of the results achieved when the boundary conditions determined to be optimal are occurring.