Drasi reads the footfall, dwell and queues your cameras already see — and turns them into staffing, layout and pricing decisions that grow revenue per square foot. No new hardware.
Drasi layers computer vision over the feeds you already record. Every frame becomes a count, a dwell time, a queue length — and every metric maps to a decision a store manager can act on.
Footfall by hour, by door, by store — combined with POS bills to expose true conversion. Staff to actual traffic, not guesswork.
Zone-level dwell heatmaps show where attention goes — and where it dies. Place product, plan layout and test displays on evidence.
Live queue length and wait time trigger counter-opening rules — and quantify the revenue you lose every time someone abandons the line.
Footfall, dwell and queue analytics across the estate — one screen.
A quick map of the sections below.
Most rosters are built on gut feel. Drasi maps hour-by-hour footfall against who's on the floor, so you add people where customers are waiting and pull them where the aisles are empty.
"From next month, Store A gets 2 extra salespeople from 4–8 PM on Fri–Sun." Lower manpower cost in quiet hours, better service at peak.
Footfall, dwell, staff coverage and POS expose whether a store has a traffic problem or a selling problem.
Mall A sells ₹40L on ₹8L rent; High-Street B sells ₹38L on ₹5L rent. Efficiency decides the location plan.
Campaign evaluation is a separate analytics layer in Drasi. It measures how shoppers interact with visual merchandising assets before you connect the impact to traffic, conversion and sales.
Keep the window message that increases zone visits. Replace mannequin styling or signage that gets seen but does not create dwell, trials or bills.
of visitors never leave the first 40% of the store. Only 18% reach the back wall — so bestsellers move deep to pull customers through.
Customers spend the longest in premium denim but barely buy. That's not a traffic problem — it's pricing, clarity or staffing.
→ Add price signage, a bundle offer, and a trained associate to the zone.
Heatmaps also rank product placement (sneakers front-left, watches at billing as impulse) and let you A/B test displays store-by-store — merchandising by evidence, not opinion.
Add price signage, bundle offers and a trained associate before discounting the product.
Move bestsellers or new arrivals deeper and add visibility cues to pull customers through.
Move the category near family/high-footfall routes or add directional signage.
Drasi watches the till line in real time, opens counters before customers give up, and puts a rupee figure on the walkouts you never used to see.
~20 customers abandon the queue each day at ₹1,500 average bill. Drasi turns that invisible leak into a number you can act on.
Different exit signatures need different fixes — so you stop blanket-discounting healthy products.
When two stores see the same traffic and dwell but one converts far worse, the gap is people — not footfall.
Send the regional trainer to Store A. Copy Store B's sales script and staff-allocation model. Auto-alert when a customer dwells >90s in a premium zone with no associate present.
Every Drasi metric is wired to a documented decision a store team can run this week.
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Every edition runs on the cameras you already have.
Single store, one lens to prove value fast.
Full analytics for a cluster of stores.
Estate-wide intelligence with custom SOPs.
Book a one-to-one demo customised to your stores. We'll turn one of your camera feeds into footfall, dwell and queue insights — live.