Dynamic Store Clerk Deployment System for Retail Service Efficiency
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Solution Overview
Problem
Existing technologies for managing store clerk deployment often result in reduced customer satisfaction as employees are redirected from less congested areas, leading to a potential decrease in service quality due to the absence of staff in other parts of the store.
Innovation Solution
An information processing device and method that identifies customer locations and determines optimal clerk deployment based on the number of clerks and their positions, ensuring effective allocation and minimizing distances between customers and clerks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If employees are deployed to congested areas in the store, then customer service in congested areas is improved, but customer service in uncongested areas deteriorates due to staff absence
Solution Approach 1:
The patent implements dynamic deployment of store clerks by continuously monitoring customer locations and adjusting clerk positions in real-time. The system determines optimal deployment locations based on current customer distribution, enabling clerks to move dynamically between congested and uncongested areas rather than being fixed in one location. This dynamic approach resolves the contradiction by allowing clerks to respond to changing conditions throughout the store.
Solution Approach 2:
The patent applies local quality by providing different levels of service attention to different areas of the store based on local customer needs. Instead of uniform deployment, the system identifies specific locations where customers are present and deploys clerks to those particular areas. This ensures that each local area receives appropriate service quality matched to its current demand, resolving the issue of clerks being absent from uncongested areas when customers are actually present there.
2Quantity of substance
If the number of store clerks is limited, then operational cost is reduced, but customer service coverage deteriorates
Solution Approach 1:
With limited clerks, the system dynamically determines optimal deployment locations based on real-time customer locations. Rather than having fixed assignments, clerks are continuously repositioned to areas where customers are currently present. This maximizes the service coverage achievable with a limited number of clerks by ensuring they are always positioned where needed most.
Solution Approach 2:
The system enables customers to be served more effectively by using their own location information (from mobile devices or other tracking means) to attract clerk attention. Customers in need of service can be identified through the system without requiring clerks to patrol or search for them, thereby maximizing service coverage with minimal clerk movement and effort.
3Productivity
If clerks are concentrated in one area, then service efficiency in that area increases, but overall customer satisfaction decreases due to neglect of other areas
Solution Approach 1:
The system prevents permanent concentration of clerks in one area by continuously monitoring customer locations throughout the store and redirecting clerks to areas where customers are present. This dynamic redistribution ensures that while clerks may temporarily concentrate in congested areas for efficient service, they are subsequently reallocated to other areas as conditions change, maintaining overall customer satisfaction across the entire store.
Solution Approach 2:
The system implements feedback by continuously monitoring customer locations and using this information to adjust clerk deployment. The real-time data on customer distribution provides feedback that triggers clerk movement to appropriate areas, ensuring that service efficiency is optimized locally while overall customer satisfaction is maintained through responsive redistribution of clerks throughout the store.
Data Source
AI summary
The purpose of the present invention is to effectively deploy limited human resources. Provided is an information processing device (210) including: a specifying unit (211) that specifies positions of customers in a certain space; a determination unit (212) that determines the deployment of store clerks on the basis of the number of store clerks and the specified positions; and an output unit (213) that outputs deployment information indicating the determined deployment.