Guided Analytics

With image recognition the only manual input to the process are the photos taken of the products themselves and of the store shelves. Deep Convolutional Neural Networks automatically recognize the products and their visibility to the customer, helping achieve an increased sales revenue. The decision maker can use the results to generate realograms.

Data Preparation and CNN Training

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.

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