New AI Technology Revolutionizes Visitor Analytics in Swedish Retail
BizLab introduces AI technology for retail analytics, enhancing visitor engagement in Sweden.
Key Points
- • BizLab's new AI technology helps analyze customer visits in real-time.
- • Retail conversion rates currently hover between 10-60%, necessitating improved engagement.
- • The software allows for customization of inventory based on visitor demographics.
- • Examples include Levi’s success with data analytics to enhance sales.
On August 6, 2025, BizLab unveiled a cutting-edge AI-driven technology aimed at enhancing real-time visitor analytics in physical retail stores across Sweden. This innovation comes at a critical time when only 10-60% of store visitors convert to paying customers, highlighting the urgent need for improved customer engagement strategies in the retail sector.
The new software allows retailers to collect anonymized data on visitors' demographics, including gender and age, as well as their duration of stay in-store. This information empowers retailers to tailor inventory and marketing messages to better suit their customer base. According to Christian Bönnelyche, a senior advisor at BizLab, the technology enables retailers to effectively see *who* is in the store and *how long* they stay, thus facilitating a more personalized shopping experience.
Notable retail brands, such as Levi’s in Paris, have previously leveraged similar technologies to analyze visitor data and enhance their conversion rates through targeted marketing strategies. Additionally, H&M's visual merchandising executive emphasized that increasing dwell time in stores is linked to higher sales, which further supports the significance of BizLab’s technology.
By integrating real-time analytics with AI, store managers can assess demographic variances across different locations and adapt their strategies accordingly. As competition from e-commerce intensifies, this data-driven approach provides physical retailers a vital opportunity to boost engagement and reclaim market share.