Staqu has launched Jarvis GPT, an advanced AI model using generative AI for the retail industry. Building on Staqu's Jarvis video analytics platform, Jarvis GPT provides real-time customer insights, store monitoring, and predictive analytics, empowering retailers to optimise performance and enhance customer experience. The solution offers real-time footfall analysis, customer demographics, and behavioural analytics for retail chains, malls, and individual stores.
How this AI model will help retailers
With Jarvis GPT, retail businesses can automate footfall counting, analyse customer purchasing patterns, and anticipate demand trends more effectively. The platform enables retailers to:
- Track footfall trends: Get instant reports on the number of male and female visitors across store locations over specific time frames.
- Optimise store performance: Monitor customer dwell time and product engagement to improve store layout and inventory placement.
- Enhance security: Detect suspicious activities and prevent loss with AI-driven video surveillance.
- Seamless Reporting: Generate instant analytics reports and receive them directly on WhatsApp for quick decision-making.
Popular businesses, including Raymond, Embassy, WeWork, Olive and more have already used Staqu’s video intelligence solutions to optimise their various operations. By using Jarvis GPT, retailers can ensure better customer engagement, streamlined security, and data-backed business strategies.
Commenting on the launch, Atul Rai, Co-founder and CEO of Staqu Technologies said:
“In today’s dynamic retail environment, staying ahead of customer expectations while optimising operations is a constant challenge. Retailers need intelligent solutions that can turn vast amounts of raw data into actionable insights. Jarvis GPT bridges this gap by leveraging AI-powered video analytics to decode customer behaviour, optimise store layouts, and improve overall operational efficiency. By providing real-time intelligence, Jarvis GPT enables businesses to enhance productivity, anticipate market trends, and foster deeper customer relationships. This is not just about adopting new technology; it’s about shaping the future of intelligent retail.”