{"id":7538,"date":"2025-07-22T09:28:08","date_gmt":"2025-07-22T09:28:08","guid":{"rendered":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/?post_type=news&p=7538"},"modified":"2026-01-08T06:14:13","modified_gmt":"2026-01-08T06:14:13","slug":"how-to-deliver-contextual-ai-that-matters-for-retail","status":"publish","type":"news","link":"http:\/\/phpdemo03.kcspl.in:9099\/rysunmvplive\/news\/how-to-deliver-contextual-ai-that-matters-for-retail\/","title":{"rendered":"How to Deliver Contextual AI That Matters for Retail"},"content":{"rendered":"

[vc_row el_class=”pt-80″][vc_column][vc_column_text css=””]<\/p>\n

<\/span>Vishal Shukla, CEO, Rysun Labs, in conversation with Chirag Khanijau, Co-Founder, Flywheelr<\/span><\/h2>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=”pt-80 news-video-section”][vc_column width=”2\/3″ el_class=”news-video-left”][vc_video link=”https:\/\/www.youtube.com\/watch?v=_oLtwil-3iM&feature=youtu.be” el_width=”90″ css=””][\/vc_column][vc_column width=”1\/3″ el_class=”news-video-right”][vc_column_text css=”” el_class=”common-para”]\u201cIf we\u2019re not disrupting ourselves, someone else will. But it\u2019s not an engineering obsession – it\u2019s about what it means for business.\u201d[\/vc_column_text][\/vc_column][\/vc_row][vc_row el_class=”pt-80″][vc_column][vc_column_text css=”” el_class=”common-para”]As enterprise leaders navigate a sea of GenAI pilots, prototypes, and hype cycles, one question rises above the rest: How do we turn artificial intelligence into real business value?<\/strong><\/p>\n

In this episode of CXO Spotlight powered by Flywheelr, host Chirag Khanijau<\/a> sits down with Vishal Shukla<\/a>, CEO of Rysun Labs, to answer that question head-on.<\/p>\n

Rather than chasing experimentation for its own sake, Rysun Labs is charting a different course – one focused on ROI-driven, contextual AI<\/strong> that transforms how retail organizations engage, operate, and grow. Vishal shares how he is leading Rysun\u2019s evolution from traditional product and data engineering traditional product engineering to pioneering contextual, business-aligned GenAI adoption<\/strong> that delivers ROI in weeks.[\/vc_column_text][vc_column_text css=”” el_class=”common-para”]<\/p>\n

<\/span>From Engineering to Experience<\/span><\/h2>\n

Rysun\u2019s journey began as a traditional product engineering company, serving industries from hospitality & entertainment to retail. But over time, the team observed a clear trajectory: code led to data, data to analytics, and analytics to AI and Machine Learning. By 2022, with the rise of large language models, it was clear that GenAI would be the next foundational shift – not just in technology, but in how businesses interact with their customers.<\/p>\n

That evolution led to the development of Rysun\u2019s proprietary platforms: Ron<\/strong><\/a>, a secure orchestration platform for enterprise-grade private LLMs, and ShopMate<\/a>,<\/strong> a conversational AI assistant purpose-built for commerce. Both are designed not just to process queries, but to understand the nuances of customer intent – turning generic search bars into intelligent, two-way dialogues.<\/p>\n

\u201cWe\u2019ve gone from demographics and keywords to understanding aspiration,\u201d Vishal explains. \u201cWhether it\u2019s someone remodeling their home or planning a hiking trip, our AI guides them in a way that feels human – but at technology scale.\u201d[\/vc_column_text][vc_column_text css=”” el_class=”common-para”]<\/p>\n

<\/span>Less Hype, More ROI<\/span><\/h2>\n

A central theme in Vishal\u2019s strategy is focus over flash.<\/strong> In one example, Rysun was approached by a global oil and gas company to build a GenAI-powered HR assistant. The client\u2019s initial scope spanned 25 different use cases – but Rysun helped them narrow it to five, ensuring high adoption and demonstrable value within weeks of launch.<\/p>\n

This kind of discipline – starting small, aligning tightly to workflows, and delivering quick wins – is what we see missing in many GenAI initiatives today.<\/p>\n

\u201cA lot of leaders think they can DIY their GenAI strategy,\u201d he said. \u201cBut if it\u2019s not grounded in domain expertise and human-centered workflows, it won\u2019t deliver.\u201d[\/vc_column_text][vc_column_text css=”” el_class=”common-para”]<\/p>\n

<\/span>The Hidden Risks of AI Adoption<\/span><\/h2>\n

While most conversations around GenAI focus on hallucinations or data privacy, Vishal highlights a more overlooked challenge: experience risk of the human in the loop.<\/strong><\/p>\n

\u201cYou can have the best model in the world, but if it disrupts how teams actually work, they won\u2019t adopt it,\u201d he warns.<\/p>\n

To mitigate this, Rysun designs each AI deployment to fit within existing enterprise environments – not just from a technical standpoint, but from a behavioral one. That includes integration into familiar systems (like Zendesk or ServiceNow), as well as change management efforts to ensure users are ready for what GenAI brings.[\/vc_column_text][vc_column_text css=”” el_class=”common-para common-listing”]<\/p>\n

<\/span>Key takeaways<\/span><\/h2>\n

Whether you’re a retail executive, product owner, or tech strategist, this episode is your field guide to delivering AI that converts, not just converses.<\/p>\n