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    3. Optimizing Merchandising with Subcategory Analytics

    Optimizing Merchandising with Subcategory Analytics

    21/12/2022
    Case studies, Retail
    1 min
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    Retailers need to know what is happening at the different parts of their physical stores to make the adjustments necessary to improve engagement rates and sales. Belgium-based integrator Amoobi, working with high-precision 3D sensors from Xovis, helped a big-box retailer improve category performance by capturing accurate, objective data from designated zones. 

    Xovis' new case study explores how the end customer, a home improvement retailer, benefited from measuring how shoppers responded to changes in merchandising. The recent publication is a must-read for omnichannel retailers that want to learn more about:

    • How to shorten the trial-and-error process using accurate data
    • Why using analytics is important for optimizing category performance
    • What type of conversion rate improvements are possible with in-store analytics
    • How measuring KPIs can boost revenues without increased labor costs 

    Are you making the most of the spaces in your physical stores? Can measuring dwell time and engagement help you improve conversion rates and basket sizes? Download Xovis' new in-store analytics case study to learn how a sensor-based solution can help you optimize merchandising! 

    Download now

    Fill out the fields below to download your copy instantly.

     

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