From Bottlenecks to Breakthroughs: How GenBI is Unlocking Data for Demand Planners

Are your legacy BI tools holding back your planning performance?

In this on-demand session, supply chain experts David Warrick (former Microsoft GM of Global Supply Chain) and Farhad Hussein (CEO of Beye.ai) unpack how Generative BI is helping demand planners move beyond static reports and manual analysis — and into a new era of AI-powered decision-making.

You’ll discover how leading retail teams are using GenBI to overcome ERP limitations, detect demand shifts faster, and embed real-time insights directly into their workflows. Whether you’re just exploring GenBI or already rethinking your tech stack, this session shows what’s possible when AI meets business intelligence.

• Demand Planners and Supply Chain Analysts
• Retail Operations and Merchandising Teams
• Forecasting and Inventory Managers
• Anyone involved in S&OP or inventory optimisation

• The biggest data and planning bottlenecks holding back retail teams
• Why traditional BI and forecasting tools fall short in today’s dynamic environment
• How GenBI platforms enable natural language access to insights and automate routine analysis
• Real-world examples of how teams are reducing planning cycles and improving decision speed
• How to get started with Generative BI — even without perfect data

David Warrick

Chair of Algo’s Advisory Board
David Warrick is the former General Manager of Global Supply Chain and Supply Chain Technology Officer at Microsoft, where he spent over 23 years leading global teams and driving innovation across every aspect of the supply chain. He now serves as Chair of Algo’s Advisory Board, helping shape the company’s strategy at the intersection of AI, technology, and operational excellence.

Farhad Hussein

Co-Founder & CEO, Beye.ai
Farhad Hussein is an enterprise SaaS product innovator focused on bridging the gap between complex data and actionable business insights. As the founder of Beye.ai, he’s building a generative BI platform designed to empower business users with self-service analytics — helping mid-sized organizations move from data to decisions faster.