TCS has leveraged video analytics capability for a global retailer using the NVIDIA technology stack.
It is difficult to imagine what the next generation of stores will look like. It would be smarter, more intelligent, friendlier and more comfortable. But the elder generation may not be able to manage the system. Driven by AI, the future store is a highly advanced data-driven retail ecosystem that offers efficient personalised experiences and unified commerce. Unified commerce will integrate online and offline channels, creating a seamless shopping experience. That includes experiential retail through immersive environments and events with AI-driven hyper-personalisation and data analytics. The store of the future will feature smart carts and automated checkout systems, ensuring a smooth and efficient shopping process.
TCS is providing a video-based solution that uses predictive AI to transform traditional stores into leaner and more intelligent spaces, helping reduce theft and checkout time, while improving stock availability and productivity. Drawing inferences from store data, it suggests the next best actions to improve operational efficiency. It leverages domain-specific AI models and TCS’s Image and Video Analytics Toolkit, built on NVIDIA Metropolis, a computer vision capability, for accurate and interactive video analytics and training.
TCS has already leveraged video analytics capability for a global retailer using the NVIDIA technology stack. Its tools have led to a reduction in inventory loss at self-checkout terminals by as much as 15 per cent. Additionally, they have decreased customer wait times by up to 20per cent through effective queue management. TCS has also minimised out-of-stock situations through shelf monitoring and replenishment, achieving reductions of up to 20 per cent. Overall, these advancements have improved in-store productivity.
