TangoEye vs Axiom AI

TangoEye is in-store retail analytics and automation software that turns existing CCTV cameras into footfall, zone, and conversion data. Instead of manual clickers or new sensor hardware, it plugs into the camera network retailers already run. The platform splits into four modules: Tango Traffic for walk-in counts, Tango Zone for shelf and area heatmaps, Tango RevOp for missed-sale tracking, and Tango StoreOps for camera and network uptime.

Most retail analytics vendors sell dedicated counting sensors or gate hardware. TangoEye's pitch is pure software on top of cameras that are already mounted, which keeps rollout cost lower and avoids ripping out existing infra. That trade-off means you need working CCTV coverage and bandwidth at each store, but you skip the cap-ex cycle of installing parallel sensor networks.

Retail operations teams use it to see bounced visitors, engaged shoppers versus casual walk-ins, and zone-level dwell time without standing at the door with a tally counter. Brand leaders at multi-store chains like Lenskart and Nykaa, listed on TangoEye's site, get a shared view of conversion leaks and infrastructure blind spots across locations. Store managers get hourly alerts when cameras or networks drop so footfall data does not silently go missing.

Axiom AI is browser automation software you build through a Chrome extension, code APIs, or plain-language prompts to Claude. You connect prebuilt steps in a visual builder to scrape pages, fill forms, monitor sites, or run multi-step workflows without writing scripts from scratch.

Most RPA tools force you to pick either a no-code recorder or a developer SDK. Axiom AI ships both paths plus a Claude Code skill that generates automations from descriptions, then runs them on hosted cloud browsers or locally on your desktop with unlimited concurrency.

It fits ops teams, growth marketers, and developers who need repeatable web tasks at scale. Cloud plans cap single runs at 1 to 12 hours depending on tier, while the desktop runner supports minute-level scheduling with no concurrency limit on your own machine.