Commerce Unlocked #7: One Stack for Retail AI: From transactional planning to agentic intelligence built natively on Databricks. Register Free →
Commerce Unlocked #7: One Stack for Retail AI: From transactional planning to agentic intelligence built natively on Databricks. Register Free →
Where every experience drives measurable growth
July 23rd, Thursday
22 minutes
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.
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.
Most enterprise retailers are running four to five fragmented tools to do what one unified AI stack can do autonomously. In this edition of Commerce Unlocked, we outline everything - the architecture, the metrics, and the playbook!
Most retailers run separate stacks for forecasting, replenishment, assortment, pricing, and promotions. Discover what that fragmentation actually costs – in cash, efficiency, and planner hours.
Meet Maya – Not your usual Chatbot.
From reading exceptions to understanding context, and autonomous actions – find how agentic AI can handle 80% of exceptions so your planners focus on decisions that need a human.
Products in focus – Order Right, RetailAI, and Maya – built on a single Databricks lakehouse – no data copies, full SKU × Store coverage, one model that learns across every signal.
22% lower inventory costs. Over 95% on-shelf availability. 45% reduction in out-of-stocks. Real numbers from live retail deployments — not benchmarks, not simulations.
Built for leaders who own the retail planning stack or are about to transform it!
Not at all. The session is designed for business and technology leaders alike. The architecture is explained in simple language, and the main focus is overcoming the fragmentation, achieving revenue-centric AI transformation, the metrics and business outcomes.
No. This is a practitioner-level session on how to build a unified RetailAI planning stack. We’ll reference Order Right and Maya as examples, but the frameworks and findings apply broadly.
A clear picture of what a unified agentic planning stack looks like in production, the business case for consolidation, and a set of questions to audit your own planning architecture.
Yes. All registered attendees will receive a recording link after the session. However, the live workshop exercise is only available to attendees joining in real time — the AI-powered gap analysis runs during the session itself.
Let’s face it—customers nowadays expect deeper and relevant communication, not cookie-cutter-styled messaging across every channel.
Deliver a best-in-class customer experience, increase online sales, and drive operational efficiency at scale
AI-powered social proof that reads every context and serves what converts.