Get Rare Insights from Algonomy's Experts at

Session
One Stack for Retail AI: From Transactional Planning to Agentic Intelligence
Meet us at
Moscone Center, San Francisco

15-18 June 2026

Book Time with Our Experts at DIAS 2026

Built on Databricks Partner

Trusted by 400+ Global Brands

Meet Algonomy at DAIS 2026

With deep retail AI expertise and a platform built on Databricks, Algonomy is redefining how retailers plan, predict, and act at scale.

From real-time customer data unification and demand forecasting to agentic decisioning and hierarchical optimization, we help retailers connect intelligence across every function — faster, leaner, and without the fragmentation.

Speakers

Naveen Khattar



AVP – Product Consulting, Algonomy

Naveen Khattar is a product and technology leader with nearly three decades of experience in retail, data, and AI. At Algonomy — a Built On Databricks partner — he drives strategy and delivery of AI/ML solutions for demand forecasting, replenishment, and supply planning at scale. With deep roots spanning product consulting, retail operations, and entrepreneurship, Naveen brings a rare ground-up understanding of retail to every engagement.

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Amit Rohatgi

VP -Product Management, Algonomy

Amit Rohatgi leads Product Management at Algonomy, with deep expertise in composable CDP architecture, retail data modeling, and real-time personalisation infrastructure. He works closely with enterprise retail customers across the US, UK, and APAC to solve the hardest data-to-decision problems in modern retail — translating complex architecture patterns into practical frameworks that marketing and technology teams can act on together.

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WHAT WE'RE SHOWCASING

Explore RetailAI Built Entirely on Databricks

Book Time with Our Experts at DAIS 2026

Book a 1:1 consultation to see how Algonomy’s Retail AI platform can help you scale autonomous agentic decisioning across your retail business.

Resources

Guides

Dynamic Content Personalization: How Active Content Brings Dynamism into Your Campaigns

Let’s face it—customers nowadays expect deeper and relevant communication, not cookie-cutter-styled messaging across every channel.

Case Study

Personalizing Beauty at Scale: How Matas Grew Attributable Sales by 36% with Personalized Recommendations

Deliver a best-in-class customer experience, increase online sales, and drive operational efficiency at scale