Rossum vs TangoEye

Rossum reads invoices, purchase orders, bills of lading, and other transactional documents, then extracts, validates, and posts the data to your ERP. AI agents ingest files from email, scanners, PEPPOL, or shared drives, run them through the Aurora Document AI engine, and route exceptions to a human validation screen when needed. The platform supports 276 languages plus handwriting and learns from user corrections over time.

OCR tools that only pull text leave your team to fix errors in spreadsheets. Rossum cross-checks extracted fields against master data, ERP records, and business rules, infers GL codes and tax codes, and triggers approval workflows or vendor emails automatically. Business and Enterprise tiers add duplicate detection, intelligent mailboxes, custom webhooks, and certified connectors for SAP, Coupa, Workday, and Oracle.

Rossum targets finance and operations teams drowning in AP paperwork, logistics companies processing shipping documents, and enterprises facing e-invoicing mandates. More than 450 brands use it, Everest Group named Rossum a Leader in its 2026 IDP PEAK Matrix, and Coupa acquired Rossum to extend its spend management stack.

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.