Real-Time Footfall Data Automation for Retail Display Activation
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Solution Overview
Problem
Existing systems for activating the display of information at retail sites lack real-time footfall data, relying on historic data and not providing actionable insights for real-time advertising.
Innovation Solution
A system and method that utilize real-time footfall data collected by sensors and IoT devices to automate the activation of information displays at retail sites, processing this data to generate real-time metrics and trigger targeted advertising.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional footfall measuring solutions are used for historic data reporting, then data collection is simple and cost-effective, but real-time information is not available for immediate advertising activation
Solution Approach 1:
The system performs preliminary actions by collecting and storing footfall data in real-time through sensor arrangements and IoT devices before advertising activation is needed. This allows the system to have ready-to-use footfall information when advertising decisions need to be made, eliminating the delay of relying on historic data while maintaining system simplicity through automated data capture infrastructure.
Solution Approach 2:
The system introduces an intermediary processing layer that collects raw footfall data from sensors, processes it through server arrangements, and transforms it into actionable advertising signals. This intermediary layer bridges the gap between simple data collection and complex advertising activation decisions, enabling real-time information availability without requiring the entire system to become unnecessarily complex.
2Productivity
If targeted advertising is implemented based on personal information, then advertising effectiveness is improved, but consumer privacy protection requirements increase
Solution Approach 1:
The system extracts only the necessary footfall information (presence, timing, duration) needed for advertising activation while deliberately excluding personal identifying information. By taking out only the essential data elements required for targeted advertising effectiveness and leaving personal identifiers behind, the system maintains advertising productivity while reducing privacy concerns.
Solution Approach 2:
The system uses transient, anonymous footfall data that has value only for its immediate advertising activation purpose and then discards it. This approach treats footfall information as a temporary, disposable resource that serves its advertising function and is then discarded, rather than storing or accumulating personal information, thereby maintaining effectiveness while protecting privacy.
3Measurement precision
If real-time footfall data collection is implemented, then advertising activation accuracy is improved, but data processing requirements increase
Solution Approach 1:
The system segments the data processing workload by distributing sensor arrangements across multiple locations and organizing them into groups managed by different server arrangements. This segmentation allows real-time footfall measurement accuracy to be maintained through distributed data collection while reducing the processing burden on any single system component, as each server handles only its assigned sensor groups.
Solution Approach 2:
The system implements partial processing by collecting comprehensive real-time footfall data but processing and activating advertising only for the most relevant instances that meet predefined criteria. Rather than processing all collected data equally, the system applies selective processing to the most valuable subsets, maintaining measurement precision while reducing overall processing power requirements through intelligent filtering and prioritization.
Data Source
AI summary
Disclosed is system for automating activation of display of information for at least one site based on real-time footfall data thereof. System comprises sensor arrangement operatively coupled to given site and configured to collect real-time footfall data of given site at intervals of predefined time-period; server arrangement and web portal communicably coupled to sensor arrangement and server arrangement, respectively. Server arrangement is configured to: receive collected real-time footfall data of given site from corresponding sensor arrangement; and process received real-time footfall data to generate real-time metrics. Web portal is configured to: determine one or more potential display spots communicably coupled to web portal located within predetermined vicinity of given site; and activate display of information for given site to be displayed on determined one or more potential display spots, wherein at least one parameter associated with display of information is selected based on real-time metrics.