STEMMA Customer for behavior analysis

An advanced behavioral analytics module that uses computer vision, machine learning and emotion analysis technologies to provide a detailed look at how customers interact with the retail space and assortment. The system captures customer routes, zones of interest and time spent in them, interaction with products (taken from the shelf, returns, examining packaging), demographics (age, gender), emotional response to assortment, prices or promotions, and inbound and outbound traffic. The module allows you to analyze data in terms of hours, days of the week, seasons and advertising campaigns, forming a complete picture of buying behavior.

Problems STEMMA Customer solves

Challenges:

• Lack of objective data on customer behavior on the sales floor.
• Difficulty evaluating the effectiveness of marketing activities and display.
• Suboptimal customer paths - products go unnoticed.
• Lack of understanding of target audience based on real demographic and emotional data.
• Inability to link customer emotions to sales performance.

Business Value

The software provides:

• Increased conversions - by adapting the display and layout to real-world shopper traffic scenarios.
• Increased marketing ROI - by evaluating the effectiveness of promotions and promos based on reactions and behavior.
• Increased targeting accuracy - understanding the gender, age and emotional response of the audience.
• Reducing lost opportunities - identifying products and areas that are overlooked.
• Strategic planning - data for long-term decisions on assortment and store design.