EscherSense modules: people counting, heatmaps, queues and more
Every module runs on your existing security cameras and comes together in one dashboard. Start with what you need and expand as your stores grow.
People counting and store conversion rate, from your existing cameras
People counting is the automatic counting of visitors entering and leaving a store from camera video. EscherSense does it with AI on the security cameras you already have: it separates entries from exits, removes staff from the count and matches net footfall against POS transactions to give you the store's true conversion rate.
Explore module →Retail heatmaps and customer path analysis
A retail heatmap is a colour-coded view of how much time shoppers spend in each zone of the sales floor. EscherSense builds it anonymously from your existing ceiling cameras, and its path analysis reveals the most common routes from entrance to checkout, movement between aisles and the dead zones that almost nobody visits.
Explore module →Queue management system and checkout performance analytics
A queue management system continuously measures how many people are waiting at the checkout and how long they wait, then alerts staff when a set threshold is crossed. EscherSense does this with your existing cameras, producing queue length, average wait time and service time per till in real time, so the decision to open another till is based on data.
Explore module →Anonymous demographic analytics: visitor age and gender mix
Retail demographic analytics is the statistical estimation of visitors' age band and gender from camera video. EscherSense does this without identifying anyone, without storing face images and in line with KVKK and GDPR. The output is never a personal record, only hourly and daily aggregate distributions your store and marketing teams can act on.
Explore module →Shelf interaction and shopper behaviour analytics
Shopper behaviour analytics measures how store visitors interact with shelves and products, using camera video. EscherSense counts picking a product up, examining it and putting it back as separate events, and anonymously reports how many passers-by look at your window, the mix of family and solo shoppers, and when shelf layouts drift out of order.
Explore module →Retail staff productivity and workforce planning analytics
Retail staff productivity analytics measures how employees' time on the floor splits between serving customers and idle time, so rosters can be built around real footfall. EscherSense distinguishes staff by their uniform without identifying anyone; what is assessed is the shift pattern and store process, never the individual employee.
Explore module →In-store campaign performance and ROI measurement
Retail campaign analytics measures the separate effect of an in-store campaign on visitor traffic, product engagement and conversion rate. EscherSense compares these three indicators before, during and after the campaign on the same metrics, and combines them with POS data to show the campaign's real return on investment by store and across the chain.
Explore module →See this module in your store
A first-store pilot on your existing cameras within a week.