Loss Prevention and Self-Service Scanning Zones
Challenge
Self-checkout is already a fixture at most physical retail stores and is a technology that will likely expand rapidly in the coming years. But self-scanning zones, gated areas with automated kiosks, can become a significant friction point and loss prevention space if not adequately monitored.
Because positioning multiple staff members in and around these zones risks eroding the benefit of the investment in the technology, retailers are looking for a solution that can:
Ensure self-checkout queues organize and move fluidly
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Promote self-balancing by informing customers about wait times
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Improve queue management by automatically communicating checkout options
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Identify exiting customers who did not correctly conclude transaction
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Provide a frictionless checkout experience to customers
Foot Traffic in Shopping Malls: Identifying Hot Spots
Solution
An automated solution installed at self-checkout areas can effectively replace labor-intensive alternatives. By working in tandem with self-checkout technology, an automated observational tool that can accurately track customer movements in real time can help retailers:
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Create a seamless shopping experience from entry to exit
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Remove friction points at self-service scanning zone exits
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Immediately alert designated staff when queue lengths exceed customizable thresholds
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Temporarily impede exit if checkout was not completed correctly
In the fast-paced retail industry, data accuracy is non-negotiable. PFM Intelligence relies on Xovis' advanced 3D stereovision sensors to ensure precise analytics, enabling us to consistently deliver impactful, data-driven insights that enhance customer experiences and drive growth.
Benefits
Retailers working with objective, real-time data can head off queuing situations before they negatively impact customer satisfaction. A high-precision solution can also help retailers:
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Manage human resources while preserving the value of investment in self-checkout tech
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Increase revenue by cutting down on losses from theft and queue abandonment
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Identify product positioning opportunities near self-scanning zones
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Effectively use self-checkout technology to promote brand identity as an innovator
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Additional retail use cases
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Measure Customer Engagement
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Customer Counting
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Optimizing Product Positioning / Assortment
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Real-Time Waiting Analytics
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Preventing Queue Formation
Queuing up can become a costly friction point for brick-and-mortar retailers
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Expanding Sales with Demographic Data
Understanding gender-specific shopping trends helps retailers optimize resources.
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Customer Centric Staff Allocation
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Staff Exclusion and Sales Performance
Real-time KPIs help retailers optimize performance across all locations
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Use-Based Cleaning
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Group Shopping Analytics
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Window Shopping Analytics
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