For brands and manufacturers, ensuring perfect shelf execution across thousands of stores and multiple channels is no easy feat. Auditing store shelves, tracking on-shelf availability, and executing merchandising strategies require vast resources and real-time visibility.
That’s where the power of AI-driven Image Recognition comes in. By capturing images across any store, any category, and any channel, brands can unlock insights that help them:
✅ Measure on-shelf availability
✅ Identify out-of-stock situations
✅ Optimize merchandising execution
✅ Improve category performance
At the CMA Conference, we sat down with Hugh from Observa to discuss our joint efforts in revolutionizing retail execution. Our partnership combines Observa’s field coverage capabilities with Infilect’s AI-powered analytics to provide brands with a 360-degree view of store performance.
🔹 Capturing Data from Every Shelf: Our solutions enable brands to collect shelf images from anywhere—ensuring comprehensive retail coverage.
🔹 AI-Powered Analysis: Infilect extracts every pixel from those images, converting them into actionable KPIs such as share of shelf, out-of-stock rates, and planogram compliance.
🔹 Closing the Execution Loop: Beyond insights, we deliver actions to fix issues in real time—whether it’s restocking shelves or optimizing product placements.
The response at CMA was incredible—brands are looking for faster, smarter, and scalable ways to monitor and optimize their retail execution. With AI-driven Image Recognition, they no longer have to rely on manual audits or guesswork.
As we continue to push the boundaries of AI in retail, we look forward to helping brands win at the shelf, maximize category performance, and enhance their in-store execution.
Want to learn how Infilect can transform your retail strategy? Let’s connect!
