Cluster Tracking System for Retail Resource Allocation
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Solution Overview
Problem
Maintaining the optimal number of resources, such as associates at checkout areas or stock levels on shelves, is challenging due to the lack of knowledge about user movement within facilities, making it difficult to determine resource needs accurately.
Innovation Solution
A tracking system that uses network devices distributed throughout facilities to collect and analyze connection data from user devices, determining their location and projected paths, and generating alerts for resource allocation and restocking based on predefined clustering rules and thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual monitoring methods are used to track user movement, then resource allocation can be adjusted, but the system complexity and cost increase significantly
Solution Approach 1:
The system utilizes user devices' own wireless communication capabilities to transmit location data automatically. Users do not need to wear special tracking equipment or manually report their positions. The network devices passively receive connection data from user devices, enabling automatic tracking without additional user burden or complex tracking infrastructure.
Solution Approach 2:
Existing network devices distributed throughout the facility are repurposed to perform dual functions: providing network connectivity and tracking user locations. The same wireless access points and network infrastructure that enable internet access also collect location data, eliminating the need for separate tracking hardware systems.
2Measurement precision
If more network devices are deployed to improve location tracking accuracy, then user movement can be monitored more precisely, but the system cost and complexity increase
Solution Approach 1:
The system leverages the existing network of wireless access points and network devices already deployed throughout the facility for their primary communication function. These same devices simultaneously serve as location tracking sensors, extracting location data from connection information without requiring dedicated tracking hardware.
Solution Approach 2:
Instead of deploying physical tracking devices, the system uses information already present in network connection data. The location information is derived from existing communication protocols and data structures, creating a virtual tracking system that copies the functionality of physical sensors without the associated hardware costs.
3Productivity
If real-time tracking data is collected continuously, then resource allocation decisions can be made more accurately, but energy consumption and data processing requirements increase
Solution Approach 1:
The system processes location data at periodic intervals rather than continuously analyzing every data point in real-time. The processing unit analyzes connection data and determines user paths at scheduled moments, reducing computational load while still providing timely resource allocation recommendations.
Solution Approach 2:
The system pre-determines user paths by analyzing connection data patterns and predicts future resource needs based on these predetermined paths. By calculating resource allocation requirements in advance based on projected user movement, the system reduces the need for continuous real-time processing.
Data Source
AI summary
Described in detail herein are systems and methods for tracking clusters of user devices within a facility. In exemplary embodiments, a plurality of network devices are distributed within a facility. The network devices may receive connection data indicating probing by at least one of a plurality of user devices within the facility. A processing unit may be coupled to the network devices and the processing unit may extract location data from the connection data received by the network devices. The location data may indicate the location of the user devices with respect in the facility. The processing unit may determine a projected path for the plurality of user devices based on the location data. The processing unit may generate a response based on then projected path of the plurality of user device.