Retail

Aquaji supports your marketing activities in the following ways:

Know how many people shop in your store and when they visit. Understand their profile and know how long they stayed. Compare historical results.

Know if your storefront and in-store displays have a positive impact on your store’s foot-traffic and staying time.

Determine how loyal your customers are based on the number of return visits.

Anticipate customer demand based on comparable data.

Compare your store design’s performance over time and develop an optimized shopping path between cold and warm zones.

Measure and compare your staff’s reaction time when engaging browsing/waiting customers.

Retail computer vision examples

Retail stores need accurate and comparable data to asses performance and test assumptions.

Here are some examples:

Cameras located at a store entrance count the number of shoppers entering and exiting the premises to generate foot traffic metrics.
Cameras strategically located in various departments help identify areas, products and store layouts that attract more traffic. Aquaji will analyse gathered data to categorize visitors by sex, or age group providing useful information to store management.
Cameras mounted on top of digital signage screens capture viewer data so Aquaji can generate audience data. When Aquaji is used in conjunction with Navori QL, digital signage content can be shown based on the viewer's demographic profile. For example, the software can display different content whether it's an older man or a young woman looking at the screen.