3 Visual Merchandising Challenges and How to Overcome Them

Post by
Jamie O'Brien
3 Visual Merchandising Challenges and How to Overcome Them

Merchandising has always played an integral role in retail and has become even more important in today's increasingly competitive landscape. Customers have more options than ever and today's customer has a very high expectation when it comes to their in-store shopping experience.

Here are ways you can leverage computer vision to enhance your in-store visual merchandising efforts.

1. Limited Display Space

Retailers need visual elements that help them make the best use of the space available to them. This includes using displays that balance the walk space with offering customers multiple angles of products. Computer Vision can be used to help put together display options that bring the focus to popular product areas. Data captured from cameras can be used to evaluate the depth of the shelving being used, as well as which products belong on shelves versus on floor displays.

2. Getting your window display right
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Attracting people with your window display is about finding a balance between grabbing attention without being overwhelming. Be sure you’re using your window, no matter how large or small, to its full potential. With Computer Vision we are transforming what was once an art form into a science, using empirical data gathered from A/B tests on window displays. By comparing walk-in data with walk-by data we can see which window display configuration converts the most traffic.

3. Pathway analytics

With Aura Vision's pathway analytics we connect the millions of observed events into journeys from your customers’ point of view. This is a data-driven approach to discovering and analyzing how visual merchandising influences how customers move through your stores. Typical applications of customer pathway analysis might include understanding how different groups of shoppers move through the store and ensuring that core audience groups are experiencing the store in a way that is congruent with their shopping behaviour.

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