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Salt Attire Taps Staqu’s JARVIS to Elevate In-Store Experience and Drive Sales with AI-Powered Analytics

News Desk by News Desk
July 10, 2025
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The women’s workwear brand deploys Staqu’s real-time video analytics platform to enhance customer engagement, improve staff responsiveness, and boost footfall-to-sales conversion.

Mumbai/Gurugram, July 10, 2025:Staqu Technologies, India’s leading AI-driven video analytics firm, has successfully implemented its flagship platform JARVIS at Salt Attire, a premium women’s workwear brand. The strategic integration is enabling Salt Attire to gain real-time insights into female shopper behavior, optimize retail operations, and improve sales conversions.

Through JARVIS, Salt Attire can now monitor key in-store metrics such as footfall-to-sales ratio, conversion trends, and customer dwell time across its locations. These insights are empowering the brand to make data-backed staffing decisions, refine store layouts, and enhance customer assistance—creating a more intuitive and satisfying shopping experience.

Atul Rai, Co-founder & CEO of Staqu Technologies, commented:

“Retail today is driven by precision, timing, and customer experience. Our collaboration with Salt Attire highlights how AI can decode customer journeys and personalize retail at scale. With JARVIS, Salt Attire is redefining how technology can support niche segments like women’s workwear.”

In addition to footfall analysis, Salt Attire is leveraging JARVIS to measure staff response time to customer entry and to adapt store design for greater shopper engagement.

Dipti Tolani, Founder & CEO of Salt Attire, said:

“We’re a customer-first brand focused on creating a personalized, frictionless shopping experience for the modern working woman. With JARVIS, we have greater visibility into how our stores are performing—right from how long customers stay to how quickly they’re being helped. This helps us keep refining the in-store journey.”

With this partnership, Staqu continues to expand its footprint in the retail sector, offering intelligent, scalable solutions to brands seeking to elevate operational efficiency and customer satisfaction through AI.

Link to the video: https://youtu.be/W8_zrPnSQ4o?feature=shared

Tags: AI in retailAtul Raicustomer experienceDipti Tolanidwell timefootfall analyticsin-store analyticsJARVIS AIretail technologysales conversionSalt Attireshopper insightsStaqu Technologieswomen’s workwear

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