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
- View direction
- Engagement rates
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:
- Differentiate between engaged shoppers and passersby
- Calculate conversion rates based on precise customer data
- Indicate opportunities for improving the visibility of category shelves
- Track customers' engagement with designated shelves
- Qualify and quantify category and subcategory dwell times
Benefits
Adding an automated solution to category management efforts can help retailers achieve maximum turnaround quicker. The result is:
- The acceleration of the trial-and-error process
- No additional labor costs associated with manual observation
- An expansion in basket sizes
- Effectively managing inventory cost based on actual consumer demand
- Improved capture rates in designated zones
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Customer counting for retail
Determine customer patterns and characteristics, such as group and individual flow, gender and view directions. Communicate waiting times to floor staff. Analyze real-time occupancy data for safety and security and exclude staff from customer counts.
