*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
Luxury Furniture and Retail People Counting Accuracy
99% Counting accuracy
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
Xovis' 3D sensors offer brick-and-mortar stores a competitive edge by hastening the trial-and-error process for improved decisions and higher revenue.
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
Download now
Access a free Use Case PDF version now!
Case studies, TransportationEurostar: Traveling Fast and Relaxed Thanks to Passenger Flow Management
+150 Million Passenger per Year
Case studies, RetailFoot Traffic in Shopping Malls: Identifying Hot Spots
28% improved counting data- Case studies, Retail
Luxury Furniture and Retail People Counting Accuracy
99% Counting accuracy