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Mall occupancy and footfall analytics for people counting
footfall analytics in shopping mall management Footfall analytics tracks how many people move through a shopping mall and what they do while they are there. For mall management, footfall gives a clear measure of health. Also, it ties visitor numbers to sales, tenant performance and service delivery. Therefore, mall operators can use those metrics to […]
AI video analytics for shopping malls
The Basics of AI Video Analytics in Shopping Centres AI Video Analytics blends computer vision and machine learning to turn video into searchable, actionable data. Unlike traditional CCTV that only records for later review, this approach detects people, classifies objects, and measures behavior in real time. For example, a modern feed can classify age and […]
Loss prevention AI for grocery chains with video surveillance
Loss prevention AI for grocery chains with video surveillance AI-Powered Loss Prevention: Transform Retail Security for Grocery Retailers AI-powered loss prevention applies artificial intelligence tools to traditional retail security. It combines machine learning, computer vision, and analytics to reduce shrinkage and raise operational efficiency. Grocery retailers face daily pressure from theft, spoilage, and fraud. AI […]
Back-of-house loading dock analytics retail in supply chain
loading dock analytics First, define what back-of-house loading dock analytics means for retail. It refers to data-driven monitoring and decision-making at the place where trucks arrive, where goods move from trailers to the store. Next, this work focuses on reducing bottleneck time, improving safety, and increasing throughput. Also, the system must be able to collect […]
AI Slip-and-Fall Detection in Retail for Workplace Safety
Understanding slip and fall and trip and fall hazards Slip and fall incidents occur when a foot loses traction and a person falls, while trip and fall accidents happen when an obstacle causes a person to stumble. Both modes cause injuries and disrupt retail operations. Retail stores face common hazard scenarios such as wet floors […]
Real-time shelf stock-out detection using cameras
shelf monitoring in retail store: current out-of-stock challenges Retail teams still rely heavily on manual shelf monitoring, and this creates costs and gaps. Staff walk aisles, scan planograms, and record shelf conditions on clipboards or tablets. These routines are labour intensive and often inconsistent, so human error leads to missed signs of low stock. For […]
