New Update
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Staqu Technologies, an AI-powered video analytics company, has announced the successful deployment of its flagship platform JARVIS at Salt Attire, a women’s workwear-focused retail brand. With this strategic collaboration, Salt Attire is using real-time analytics to better understand female shopper behaviour, optimize store performance, and drive higher conversion rates.
Actionable Customer Insights
By deploying JARVIS, Salt Attire now tracks female footfall-to-sales ratios, conversion trends, and customer dwell time across its stores. These insights are enabling the brand to take a data-driven approach to staffing decisions, improve in-store layouts, and ensure prompt customer assistance — resulting in a more seamless and engaging shopping experience.
Atul Rai, Co-founder & CEO, Staqu Technologies, said: “Retail is no longer just about product placement, it’s about precision, timing, and experience. Our partnership with Salt Attire demonstrates the power of AI in decoding customer journeys and optimizing every touchpoint. By leveraging JARVIS, Salt Attire is setting a new benchmark for how tech can personalize retail in niche categories like women’s workwear.”
Fostering Customer Experience
Salt Attire is also using JARVIS to monitor how quickly staff can assist shoppers after they enter the store and how store design can be adjusted to increase customer engagement and dwell time.
Video credit: Staqu Technologies
Dipti Tolani, Founder & CEO, Salt Attire, added: “As a customer-first brand, we want every woman walking into our store to have a smooth, efficient, and personalized experience. With JARVIS, we’re able to track what’s working — from how long customers stay to whether they’re getting help when they need it. This level of visibility helps us continuously evolve our in-store journey to better serve the modern working woman.”
With this deployment, Staqu continues to strengthen its position as a partner of choice for forward-thinking retail brands looking to infuse intelligence into every layer of store operations.