
Retail



You already have cameras showing you everything. What you don’t have is immediate response. Spills sit too long. Queues build while staff are tied up. Theft is discovered after it happens. Incidents escalate because no one acted in time. To monitor just 10 cameras 24/7, you need 5 full-time staff. That’s over $200,000 per year for minimum coverage. The problem isn’t visibility. The problem is delay.

Stores are busy. Teams are stretched. Your cameras capture everything, but no one can monitor every feed at once. When something happens, response depends on whether someone is watching. Incidents are missed. Loss is discovered after the fact. General retail loses an estimated $1.2M per region per year due to shrinkage and manual review. The issue is not visibility. It is delay.
Manako turns your existing cameras into an automated response system. Using a no-code setup, you define what matters and what should happen next. When something occurs, Manako detects it, understands the context, and triggers action immediately. Instead of reviewing footage after the fact, you respond in real time.
Faster
Smarter
Faster
Smarter




Analyze
Predict
Analyze
Predict
Spill Detection

Monitors each camera and, if a spill occurs, sends a team to resolve the issue as soon as possible.
Analyze aisle-4.mp4
Thoughts 1s
After thorough analysis, the camera aisle-4.mp4 shows a spill. Staff were dispatched to the site as soon as possible. After 1 min 39 s, the area was secured.
From detection to response in about one second. No one watching screens. No manager reviewing footage. No delay while risk builds.
Automous
Vision
Automous
Vision
Making cameras see, decide, and act in the physical world is expensive and difficult without engineering teams and ongoing maintenance. Here is how common approaches compare.