Optimizing Staff and Layout with Customer Counting
Challenge
Determining when staff should be customer-facing or engaged in other tasks is essential for cost-conscious retailers, more of which are looking for solutions that provide real-time and historical KPIs about the:
Determining building occupancy rates in real-time
Busiest and quietest times for traffic, passersby, and sales
Conversion rates vs. potential in-store customers
Solution
Digitizing brick-and-mortar stores to generate KPIs about traffic levels, demographics, queueing structures and dwell time takes the costly guesswork out of best utilizing limited staff and space resources. Market solutions can help retailers:
Indicate available meeting rooms and workspaces to increase efficiency
Identify customers, gender, and group status
Count customer entry/exit with 99% accuracy, excluding "peekers"
Modify store and window displays based on passersby conversion data
Adjust staff to optimize peak-and-valley shopping trends

The system offers flexibility and incorporates mixed technologies tailored to the appropriate solution, delivering accurate and reliable counts that can be utilized for further analyses.
Benefits
Understanding store activity based on measured KPIs is a tried and tested people counting solution that:
Better understanding of passenger demographics
Reduces guesswork in timing customer traffic changes
Boosts efficiency by adjusting hours and staff to store trends
Improve store layout based on success rate
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Additional retail use cases
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Frictionless Checkout
Automation helps balance customer flow and prevent loss at self-service zones
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Measure Customer Engagement
Measuring customers’ in-store dwell times can boost sales of higher margin products
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Improving Store Layout
Accurate store traffic data helps retailers optimize layout and product placement
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View Direction
Retailers can boost revenue by measuring in-store attention
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Customer Counting
Optimal staff and layout depend on real-time customer engagement data
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Optimizing Product Positioning / Assortment
Retailers looking to support their category manager are turning to tech
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Real-Time Waiting Analytics
Retailers need a robust queue management system to eliminate friction points
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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
Retailers need a robust queue management system to eliminate friction points
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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
Smart Retail requires Smart Cleaning to enhance customer experience
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Group Shopping Analytics
Shopping habits change with company, aiding retailers in boosting sales
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Window Shopping Analytics
Tracking capture rates from window shoppers can boost store performance