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

9 March 2017

How to Take Advantage of AI Innovations in 2017
by Gabor Veres

2016 did give us a few bright spots, particularly in the area of tech innovation. Shifts in workflow efficiency that began last year set the tone for vast improvements in the 12 months ahead…