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    1. Home
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    3. Optimizing Staff and Layout with Customer Counting
    Xovis sensors for retail customer counting shop
    Use cases, Retail

    Optimizing Staff and Layout with Customer Counting

    Optimal staff allocation and layout depend on real-time customer engagement and product positioning data
    Download Use Case

    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:

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      Determining building occupancy rates in real-time

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      Busiest and quietest times for traffic, passersby, and sales

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      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:

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      Indicate available meeting rooms and workspaces to increase efficiency

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      Identify customers, gender, and group status

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      Count customer entry/exit with 99% accuracy, excluding "peekers"

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      Modify store and window displays based on passersby conversion data

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      Adjust staff to optimize peak-and-valley shopping trends

    Image of a Xovis partner.

    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.

    Henning Schorling Head of IT, B.O.C. GmbH & Co. KG

    Benefits

    Understanding store activity based on measured KPIs is a tried and tested people counting solution that:

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      Better understanding of passenger demographics 

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      Reduces guesswork in timing customer traffic changes

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      Boosts efficiency by adjusting hours and staff to store trends

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      Improve store layout based on success rate

    Download now

    Access a free Use Case PDF version now!

    Download

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