Yes, we do Artificial Intelligence

No hype, we really teach computers to see

At Planorama, we leverage artificial intelligence to help our clients boost their retail execution and merchandising. Our solutions which incorporate breakthrough deep learning algorithms can instantly analyze and recognize millions of product items based on shelf pictures from any source.

In the deep learning computer vision approach, the system learns how to recognize a target by itself. Based on hundreds of raw pictures of the given target, deep learning algorithms can build their own optimal set of visual features to recognize this target. The more pictures, the more accurate the system.

For visual product recognition — the kind we perform with Planorama — deep learning has several advantages that make it an ideal approach. The system can be fed with many good examples of the targets under all sorts of conditions — products on shelves. Over time, the system learns to self-adjust and recognize new examples of products it has never seen. Without the need for explicit rules, the system can recognize products even with low-quality inputs. It’s a generic system, fast to roll out for new product bases, adaptive, and robust to real conditions to get truly accurate results.


Check out this article by our CTO

20 June 2018, 3:31 pm

3 Reasons For Lost Sales (and How to Strike Back with Image Recognition)

Lost sales are a thorn in the flesh of Consumer-Packaged Goods (CPG) companies. At Planorama, we help our CPG clients optimize retail execution with Image Recognition (IR). That is why we want to share with you three ways IR can help you cut down lost sales.