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Anchal
Gautam
Digital Product Manager
Blick Art Materials
Anchal Gautam is a Digital Product Manager at Blick Art Materials with a strong background in product and program management, business transformation, and process improvement. Holding an MBA from Narsee Monjee Institute of Management Studies, she has built her career around leading large-scale initiatives, streamlining operations, and translating business requirements into impactful product solutions. Her experience spans managing cross-functional teams, driving process optimization, and delivering measurable value through customer-focused digital products. With a blend of strategic thinking and operational excellence, Anchal is passionate about improving user experiences while aligning product outcomes with broader business goals. She brings expertise in stakeholder management, business process redesign, and program execution, helping organizations navigate complex challenges and turn opportunities into scalable, sustainable results.
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29 October 2026 10:15 - 10:45
From search to siscovery: How AI is rewriting product findability
The traditional retail customer journey is breaking down. Shoppers think in terms of goals, projects, and outcomes—not product names or SKUs. Yet most commerce experiences are still built around search engines designed to find products rather than understand intent. This keynote explores the shift from keyword-based search to AI-powered discovery. Using technologies such as semantic search, generative AI, and personalization, retailers can create conversational experiences that guide customers from inspiration to purchase. Drawing on examples from the art supply industry, we'll show how AI can act as an expert advisor, helping customers move from an idea like “I want to try watercolor painting” to a tailored set of products and recommendations. For product leaders, this transformation requires new strategies, architectures, and success metrics. The focus moves beyond click-through rates toward measures such as intent resolution and AI-assisted revenue. Attendees will leave with a practical framework for building discovery-led experiences and understanding why the future of commerce is about managing customer decisions—not simply displaying products.