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A quick look at how Neurolabs' computer vision software can be used to detect on-shelf availability for supermarkets and retail stores. We use synthetic data to train our computer vision models as it is dramatically faster, more cost effective, and much easier to scale than the use of manually obtained, labelled, and annotated real data. We can easily apply this synthetic data approach across tens of thousands of stock-keeping units (SKUs) to custom train our product detection models to your specific supermarket environment. Our use of synthetic data allows us to rapidly add new SKUs by training the model to recognise new ones before they even hit the shelves, meaning the model responds to updates to your planogram dynamically and your on-shelf availability is managed seamlessly at scale. This is a really useful form of object detection if you want to put an end to out-of-stocks/out-of-shelves, improve your customer experience, and ultimately increase revenue for your business. This real-time shelf monitoring solution is now available on the Neurolabs computer vision platform. Our computer vision solution helps supermarkets and retail stores revolutionise their businesses by automating time consuming and costly business processes. You can get started at the link below: https://www.neurolabs.ai/free-trial