Zithara.AI Unveils India’s only AI-First Retail Operating System for Jewellers  Aims at transforming Jewellery Sales using AI

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Zithara.AI, India’s fastest-growing AI-native Customer Engagement and Data Platform, launched country’s only unified, end-to-end AI-powered retail operating system designed specifically for jewellery retailers navigating the crossroads of heritage and high technology.

“We are unveiling a full-stack retail system comprising the AI Agentic Framework, Mobile AI Toolkits, Ziri – AI-Powered Data Intelligence Agent, and the newly launched Model Context Protocol (MCP) Server, all integrated into a single, composable infrastructure. This system doesn’t ask retailers to abandon tradition but it empowers them to scale it with intelligence. With us, every associate becomes more empowered, every customer interaction more meaningful, and every store more responsive. Intelligence isn’t buried in reports—it’s embedded into day-to-day operations ,”said Varun Kashyap, Co-Founder, Zithara.AI.

  The Key Innovations introduced by Zithara.AI while making an unified AI powered retail operating system for jewellery industry are as follows:

MCP – Model Context Protocol Server

India’s first of its kind, the MCP Server serves as the foundational infrastructure for live retail intelligence. It interprets behavioural signals, integrates data from across channels, and enables context-aware actions across sales, marketing, service, and loyalty. Retailers can plug in their own Large Language Models (LLMs) and run them alongside Zithara’s CRM and CDP, allowing for a tailored AI stack that fits each retailer’s logic and customer DNA.

AI Agentic Framework

Sitting atop MCP, this layer orchestrates personalised engagement by monitoring customer behaviour in real time, across physical stores, websites, WhatsApp, and campaigns. It automates what were previously manual CRM tasks, such as nudging lapsed customers, following up on bridal collections, or re-engaging high-value buyers—all done autonomously at scale.

Mobile AI Toolkits for Store Teams

Zithara equips store associates with mobile-native tools to schedule appointments, capture walk-ins, send campaign messages, and manage loyalty interactions—all context-aware and connected to real-time customer data. This empowers in-store teams to deliver premium, insight-led service without relying on memory or spreadsheets.

Ziri – AI-Powered Data Intelligence Agent

Ziri is a mobile-first business intelligence tool for CXOs and multi-store operators, offering real-time, AI-generated reports on conversion trends, store performance, and campaign impact—powered by live CRM and transaction data. No dashboards. No data pulls. Just clarity of the decision taken.

Theretailers who have leveraged Zithara.AI’s platform have witnessed 3× increase in repeat purchases, 60% uplift in customer lifetime value, and Real-time reactivation of dormant leads via WhatsApp automation so far.  Now, with the advent of Zithara.AI’s  full stackretail system, it is bound to have more impactful outcomes.

According to Sri Devi Reddy, Co-Founder, Zithara.AI, “We believe AI should amplify human intuition—not replace it. Zithara’s unified stack enables jewellery businesses to preserve the craft of relationship-building, while enhancing efficiency, accuracy, and scale through AI. This is not just CRM, not just automation, this is intelligent retail.  It is built ground-up for Indian jewellers ready to lead with legacy and scale with AI.”

About Zithara.AI

Zithara.AI, founded in 2021 by Sridevi Reddy and Varun Kashyap in Hyderabad, is revolutionizing offline retail by equipping India’s local businesses with intelligent, AI-driven technology. Designed to empower retailers—from jewellery stores to fashion and electronics outlets—Zithara’s unified platform integrates lead management, customer intelligence, voice analytics, and omnichannel communication, enabling smarter sales, personalized marketing, and deeper customer engagement.

With rapid onboarding, local language support, and scalable simplicity, Zithara is more than a tool—it’s the engine of retail transformation trusted by thousands to build the future, not just adapt to it.

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

Sreejit
Sreejit Kumar is a media and communications professional with over two years of experience across digital publishing, social media marketing, and content management. With a background in journalism and advertising, he focuses on crafting and managing multi-platform news content that drives audience engagement and measurable growth.

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Zithara.AI Unveils India’s only AI-First Retail Operating System for Jewellers  Aims at transforming Jewellery Sales using AI

Zithara.AI, India’s fastest-growing AI-native Customer Engagement and Data Platform, launched country’s only unified, end-to-end AI-powered retail operating system designed specifically for jewellery retailers navigating the crossroads of heritage and high technology.

“We are unveiling a full-stack retail system comprising the AI Agentic Framework, Mobile AI Toolkits, Ziri – AI-Powered Data Intelligence Agent, and the newly launched Model Context Protocol (MCP) Server, all integrated into a single, composable infrastructure. This system doesn’t ask retailers to abandon tradition but it empowers them to scale it with intelligence. With us, every associate becomes more empowered, every customer interaction more meaningful, and every store more responsive. Intelligence isn’t buried in reports—it’s embedded into day-to-day operations ,”said Varun Kashyap, Co-Founder, Zithara.AI.

  The Key Innovations introduced by Zithara.AI while making an unified AI powered retail operating system for jewellery industry are as follows:

MCP – Model Context Protocol Server

India’s first of its kind, the MCP Server serves as the foundational infrastructure for live retail intelligence. It interprets behavioural signals, integrates data from across channels, and enables context-aware actions across sales, marketing, service, and loyalty. Retailers can plug in their own Large Language Models (LLMs) and run them alongside Zithara’s CRM and CDP, allowing for a tailored AI stack that fits each retailer’s logic and customer DNA.

AI Agentic Framework

Sitting atop MCP, this layer orchestrates personalised engagement by monitoring customer behaviour in real time, across physical stores, websites, WhatsApp, and campaigns. It automates what were previously manual CRM tasks, such as nudging lapsed customers, following up on bridal collections, or re-engaging high-value buyers—all done autonomously at scale.

Mobile AI Toolkits for Store Teams

Zithara equips store associates with mobile-native tools to schedule appointments, capture walk-ins, send campaign messages, and manage loyalty interactions—all context-aware and connected to real-time customer data. This empowers in-store teams to deliver premium, insight-led service without relying on memory or spreadsheets.

Ziri – AI-Powered Data Intelligence Agent

Ziri is a mobile-first business intelligence tool for CXOs and multi-store operators, offering real-time, AI-generated reports on conversion trends, store performance, and campaign impact—powered by live CRM and transaction data. No dashboards. No data pulls. Just clarity of the decision taken.

Theretailers who have leveraged Zithara.AI’s platform have witnessed 3× increase in repeat purchases, 60% uplift in customer lifetime value, and Real-time reactivation of dormant leads via WhatsApp automation so far.  Now, with the advent of Zithara.AI’s  full stackretail system, it is bound to have more impactful outcomes.

According to Sri Devi Reddy, Co-Founder, Zithara.AI, “We believe AI should amplify human intuition—not replace it. Zithara’s unified stack enables jewellery businesses to preserve the craft of relationship-building, while enhancing efficiency, accuracy, and scale through AI. This is not just CRM, not just automation, this is intelligent retail.  It is built ground-up for Indian jewellers ready to lead with legacy and scale with AI.”

About Zithara.AI

Zithara.AI, founded in 2021 by Sridevi Reddy and Varun Kashyap in Hyderabad, is revolutionizing offline retail by equipping India’s local businesses with intelligent, AI-driven technology. Designed to empower retailers—from jewellery stores to fashion and electronics outlets—Zithara’s unified platform integrates lead management, customer intelligence, voice analytics, and omnichannel communication, enabling smarter sales, personalized marketing, and deeper customer engagement.

With rapid onboarding, local language support, and scalable simplicity, Zithara is more than a tool—it’s the engine of retail transformation trusted by thousands to build the future, not just adapt to it.

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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Sreejit
Sreejit Kumar is a media and communications professional with over two years of experience across digital publishing, social media marketing, and content management. With a background in journalism and advertising, he focuses on crafting and managing multi-platform news content that drives audience engagement and measurable growth.

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