And How Mobeye is taking it to the next level

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I meet hundreds of CPG Brands & Retailers every year. And this is mainly to discuss how to spot and correct poor in-store execution as quickly as possible.

Computer Vision (Image Recognition) technologies have theoretically a key role to play in catching physical information from the shelves and convert them into reliable and actionable data.

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In short, you send INPUT DATA to your ALGORITHM and get OUTPUT DATA. Let’s collect a batch of pictures of a given category, stitch them and just send them through a (pick your favorite buzzword)

Most of Brands & Retailers I meet just do not want to hear about Image Recognition. Are they nuts?

Of course not! They are data driven, and results oriented.

Fact is… they consider Image Recognition solutions as a waste of time and money. Ironic for a cutting-edge technology. Having said that, some retail computer vision technologies work quite well.

So why?

The answer is quite simple, let me correct the previous workflow.

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In short, you send INPUT DATA to your ALGORITHM and get OUTPUT DATA. By saying “Image Recognition is not working” FMCG Brands & Retailers actually say OUTPUT DATA are not satisfactory.

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