Rabot vs vAudit

vAudit is a video logging system built for fulfillment operations. It records overhead footage at pack stations and links each recording to an order ID. When a customer files a dispute, you search the order number, pull up the video, and see what was packed. It solves a real problem: having proof when a customer claims something was missing or wrong.

Rabot is a Vision AI platform. It also records order-linked video, but the camera feed runs through AI models that identify items, detect errors, measure cycle times, and flag SOP violations. The proof layer is one piece of a system that spans prevention, performance analytics, multi-carrier shipping, returns processing, and operator guidance.

The distinction matters because video proof addresses disputes after they happen. Vision AI addresses the errors that cause disputes before they ship. Manifest.eco eliminated 90% of dispute liability in 15 days — not just by proving what was packed, but by catching errors that would have generated disputes.

vAudit is focused on proof. It records video, links it to orders, and stores it for retrieval. It wasn't built to measure how fast packers work, which stations are bottlenecked, or how cycle times vary across shifts.

Rabot's AI extracts performance data from every order it processes. Per-station cycle times, items per hour, error rates by operator, SOP compliance scores — all available in dashboards that operations managers use to identify training needs, rebalance workloads, and track improvement over time.

DaVinci reduced processing time by 30% across 6 locations using Rabot's performance data to identify and address bottlenecks. That kind of operational improvement isn't possible with a video logging system alone.

vAudit may be sufficient if: your primary need is basic video proof for dispute resolution, you have a low error rate and your main concern is documenting what was packed, and you don't need real-time error prevention or performance analytics.

Rabot is the better fit if: you want to prevent errors before they ship, you need per-station performance data to improve operations, you're running multiple WMS platforms and need broad integration support, or you want a single platform that covers proof, prevention, performance, shipping, and returns.

The core question is whether you need a video logger or a Vision AI platform. If disputes are your only pain point and you're confident your error rate is already low, video logging covers the basics. If you want to reduce errors, improve throughput, and build a data-driven operation, you need the broader platform.