A New Category Manager: In-Store Analytics
Challenge
Retailers know that positioning higher-margin products in high-visibility areas and second point of sales can increase awareness and profitability. But manual and less accurate in-store solutions struggle to deliver precise data on the three most important issues for making the most of in-store displays and category layout:
Dwell time
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View direction
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Engagement rates
Optimizing Merchandising with Subcategory Analytics
Solution
Mapping customer journeys across in-store touchpoints is already considered best practice for hybrid retailers. Replacing resource-intensive solutions for optimizing categories and subcategories can be a quick win if the replacement can accurately:
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Differentiate between engaged shoppers and passersby
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Calculate conversion rates based on precise customer data
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Indicate opportunities for improving the visibility of category shelves
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Track customers' engagement with designated shelves
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Qualify and quantify category and subcategory dwell times
We have identified, that one of the key issues was to set the right and effective workforce planning not only towards the cost savings but also with respect to the overall customer experience.
Benefits
Adding an automated solution to category management efforts can help retailers achieve maximum turnaround quicker. The result is:
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The acceleration of the trial-and-error process
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No additional labor costs associated with manual observation
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An expansion in basket sizes
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Effectively managing inventory cost based on actual consumer demand
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