We'll show how state-of-the-art deep learning techniques can be applied to retail analytics. Namely, we'll show how one can retrieve various information about the product, including its category and ingredients, using a mixture of visual and textual information. We'll start with depicting the business scenario and operational needs of such a system, and then move into a technical and in-depth discussion of the underlying deep learning pipeline. The solution is based on an interplay of region-based convolutional neural networks and NLP techniques. This is a joint effort of Nielsen and deepsense.io.