Our Vision AI Solutions are Featured On
By connecting a visual language model (VLM) with CCTV infrastructure, the system can remotely audit more than 20 store-environment management items, including promotion compliance, cleanliness, and merchandising quality, without an in-person visit.
AI-driven integrated analysis automatically inspects and quantifies store-environment management items in real time for each store. A quantified checklist report substantially reduces field managers' decision-making and inspection effort.
Customer routes and dwell time inside the store are analyzed to identify high-interest zones and product engagement. These behavior signals help teams establish more effective store-operation strategies.
Changes in visit patterns based on store condition, along with correlations between customer paths and sales, are analyzed. Quantified data provides the basis for the next tailored marketing strategy to maximize sales.
On-site CCTV automatically inspects more than 20 store-environment items such as cleanliness and display quality, while also analyzing customer movement, dwell time, and interest zones to collect behavior data in real time.
Environmental-audit results such as cleanliness and merchandising quality are integrated with customer dwell-time and path data into a single dashboard. Accumulated data then supports multidimensional comparisons of operating efficiency across time and space in the store.
Based on the analysis, merchandising, staffing, and promotion strategy can be optimized to improve both customer experience and sales performance together.
