Features
Featured
In-store fall alerts: one system, multiple uses
Falls in the aisles or stockroom, at-risk gestures, opened packaging: why a single video alert system makes life easier for store teams.
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Tips, trends and innovations to optimize the security of your store
30 articles
Features
Shrinkage
Shoplifting: key figures you need to know
United States, United Kingdom, Germany, France: the latest shoplifting figures, their source, their methodology and how to read them for your store.
Cameras and video
AI video analysis: from the first audit to the first alerts
Audit with the integrator, zones, first alerts, calibration: deploying AI video analysis on existing cameras, step by step.
Management and data
Shoplifting in DIY stores: the most exposed zones
Tools, consumables, hardware, garden: where theft is concentrated in DIY stores and how to reduce shrinkage zone by zone.
Features
In-store video alert: building a response protocol
A video alert only reduces shrinkage if the team knows what to do. Roles, response levels, safety, follow-up: the method for a protocol that holds up.
Features
Local video analysis: what stays in your store
Why AI video analysis runs on a GPU in the store: high-resolution main stream, what stays on site, what goes to the cloud.
AI
In-store vision AI: gestures, not people
What does an AI that analyses gestures in store actually see? Defined gestures, never identities. How it works, its limits, human decision-making and transparency.
Management and data
Shrinkage by store: comparing without distorting the figures
Ranking your stores on a raw shrinkage rate is misleading. A method to normalize by revenue, footfall and floor area, then read the data by zone and time slot.
Shrinkage
Holiday season shrinkage: a plan from Black Friday to the sales
Black Friday, Christmas, sales: eight weeks of successive peaks. Extra staff, sensitive aisles, extended hours and alerts: the plan to limit shrinkage.
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