If your “AI” workflow still means snapping photos for proof and waiting on people to review them, you’re paying a delay tax. You don’t need more pictures, you need a system that sees the shelf, interprets it in real time, and tells your team what to do next. That’s the gap Vision AI closes.
1) Insights, not photo trails
- The Problem: “Proof of execution” photos come back hours or days later, lack context, and your reps still had to do the work manually.
- The Solution: Our approach captures what’s on the shelf and interprets it on the spot, returning prioritized next-best actions so your teams aren’t stuck reviewing images.
2) Motion-based capture (no photo-stitching required)
Step-and-shoot auditing slows everything down. We pioneered motion-based capture that processes camera motion to evaluate each item from multiple angles and build a 3D digital shelf model. You get richer, more accurate insight without photo stitching—and without slowing the walk.
3) On-device Vision AI for offline stores
Connectivity shouldn’t decide whether you get results. Our AI can run entirely on the device. Reps can work without the internet, getting immediate insights for actions to take in-store, eliminating recurring cloud compute costs and accelerating speed to value.
4) Total category visibility—no image libraries required
You shouldn’t have to curate massive image sets to start. Our system learns on the fly and automatically recognizes products across entire categories, including competitors, so setup is faster and expansion to new markets/categories is simpler.
5) Self-learning that compounds
See something once, recognize it globally going forward. The AI improves over time as it encounters new items or packaging changes, without manual retraining. Legacy, static image databases can’t keep up with this pace of learning.
6) Built for speed, from setup to insight
Motion-based capture + on-device processing + self-learning = quick capture, real-time analysis, and deployments that go live in days, not weeks. Ideal for launches, pilots, and seasonal programs where timing is critical.
7) Accuracy & learning that stick
By triangulating and reconstructing the shelf, the system identifies items down to subtle packaging differences (e.g., low-sodium vs. regular) and carries those learnings forward, globally, after a single encounter. This level of detail ensures your data is reliable.
Enterprise-ready and global by design
The power of modern Vision AI isn’t just in the capture, it’s in the integration and security for the world’s largest CPGs.
- Integrations: Connects with enterprise SSO, workforce apps, and key data pipelines (e.g., Databricks Delta Share, Kafka, API). It’s built to run on platforms like Microsoft Azure, allowing planners to analyze shelf data alongside sales, supply chain, and more.
- Device flexibility: Runs on the devices your teams already use today (Zebra, Honeywell, Android, Apple) and may consider using tomorrow (wearables, smart glasses, robots, shelf cameras, and more) supporting both cloud-connected and offline modes.
- Security & Localization: Meets key standards like ISO 27001 and GDPR (when required), with multi-language support and software localization for global markets.
Future-proof architecture
We invest beyond computer vision and into AI perception and cognition, so the platform not only sees but understands what’s right/wrong and suggests actions. It’s also ready to integrate with other cameras and methods of image/motion-capture as vision technology evolves.
Why this combination wins
Plenty of platforms recognize products or flag out-of-stocks. What sets this approach apart is our Vision AI stack and the combination of features working together: motion-based capture that builds a complete 3D model, on-device processing for offline speed, self-learning accuracy that compounds, and total category visibility without image libraries.
The result is more accurate data, meaningful labor savings, stronger planning, and tangible growth.
Want to see it in your categories? Book a demo to experience real-time shelf understanding and KPI outputs firsthand.
