Store layout and product placement has always been a key aspect for retailers for increasing product sales. Managing product placement of over hundreds of products is a challenging task performed using realograms and planograms. Previously, creating realograms was a difficult task often requiring manual activities.

We used neural networks for the image recognition task. Neural networks are massively parallel adaptive processing structures consisting of one or more layers, each layer one or more neurons. Three types of layers exist: Input (receiving data from its environment, providing processed data to other layers), hidden (receiving and providing processed data from and to other layers) and output (receiving processed data from other layers, providing information to the environment) layers.