STEMMA tracking system software

Software developed by 4RM Systems uses artificial intelligence and machine vision technologies to track customer behavior in stores. Based on the data, customer behavior analysis is performed and improvements to shopping processes are developed.

Key Features

1. 1. Shopper Behavior Analysis. STEMMA tracks the movement of each shopper. After analyzing the data, information is provided on:

• popularity of store zones, which allows customizing the location of products and store navigation;
• time spent in the store zones, which helps to determine which departments attract the most attention;
• customer interaction with products (which products attract the attention of customers, how much time they spend on studying products on the shelf and which products they take in their hands), on the basis of this information the assortment and location of products can be changed.

1. 2. Optimization of product display. STEMMA allows you to:

• get information about the location of the best positions. As studies show, goods located at eye level and in high-traffic areas sell better;
• conduct A/B testing of different variants of product display, which allows you to identify which changes in the location of products lead to the greatest increase in sales;
• obtain information about empty shelf space, which helps to replenish shelves in a timely manner.

1. 3. Improving customer service:

• By analyzing video from surveillance cameras, STEMMA software identifies areas of the store where the concentration of customers is greatest at different times of the day and week. This allows you to identify “hot spots” that require special attention.
• The system analyzes the number of customers at checkouts and makes recommendations on the need to open additional checkouts.

1. 4. Theft prevention. The use of intelligent algorithms allows to:

• analyze customer behavior and identify suspicious actions, such as moving along certain routes, frequent side observation or sudden change of route;
• the system can use face detection technology to identify previously observed intruders;
• if suspicious activity is detected, the system can notify security or store personnel.

1. 5. Analytics can extract valuable information from the data to help make informed decisions and improve business strategies:

• the system collects data from surveillance cameras;
• analyzes data and determines, for example, which products are most popular on certain days of the week or seasons, how customer behavior changes depending on promotions and discounts;
• generates reports that help visualize the data in a convenient format (graphs, charts, heat maps, etc.);
• the system allows predicting future trends, and generates recommendations on how to position products on the shelf.