<ul data-eligibleForWebStory="true">Paris-based AI startup, Veesion, developed a gesture recognition algorithm to predict shoplifting.The technology flags suspicious movements rather than physical appearances to improve store security.Veesion's tech has helped stores reduce missing inventory rates significantly.The startup recently secured a $43 million Series B funding round to expand in the US.Despite improvements in combating shoplifting, Veesion believes machine learning can still help in preventing theft.Veesion's algorithm focuses on motion analysis rather than individual tracking, addressing privacy concerns.The system detects human movements and objects in security camera footage to alert security personnel.Over 85% of alerts generated by Veesion are deemed relevant by store operators.One US client managed to cut losses from the health and beauty section by half using Veesion's technology.Veesion's AI technology aims to enhance the shopping experience by alerting staff to potential theft incidents.The tech not only deters shoplifters but also reduces employee theft, according to Veesion.Veesion is exploring additional retail use-cases like detecting improper self-checkout scans and slip-and-fall incidents.The technology's effectiveness in deterring theft extends to preventing repeat offenses.Retailers can benefit from the technology by improving security without compromising the shopping experience.Veesion's solution offers a more proactive approach to preventing and addressing shoplifting incidents in stores.