Improving Demand Forecasts and Inventory Decisions.
Most AI initiatives in supply chain planning don’t fail because of the AI—they fail because the data isn’t ready.
Supply chain leaders are under increasing pressure to improve forecast accuracy, optimize inventory levels, and respond faster to disruptions. Yet many organizations still rely on fragmented data, disconnected planning processes, and manual workflows that limit visibility and slow decision-making.
With 63% of supply chains still considered fragile, organizations are looking to modernize planning operations and establish a stronger foundation for AI-driven decision-making.
Join Alteryx to learn how leading organizations are building AI-ready data foundations to improve demand forecasting, optimize inventory, and increase supply chain resilience. This session will explore practical approaches to connecting fragmented planning data, automating analytics, and enabling faster, more confident planning decisions.
We’ll also explore how AI-ready workflows can enhance supply chain planning by combining trusted data, predictive analytics, and AI-powered insights to improve agility, resilience, and operational performance.
Who Should Attend
Chief Supply Chain Officers (CSCOs)
VPs and Heads of Supply Chain
Demand Planning Managers and Analysts
Inventory and Supply Planning Leaders
Financial Analysts focused on forecasting
Supply Chain Analytics and Transformation Teams
Key Takeaways
Build an AI-ready data foundation for demand and inventory planning
Improve forecast accuracy with automated data preparation and analytics
Gain greater visibility into inventory risks and service-level performance
Connect planning data across ERP, planning, and cloud platforms
Accelerate scenario planning and decision-making during disruptions
Extend planning workflows with AI-powered insights and recommendations
What Problem Does It Solve?
Supply chain teams struggle with fragmented planning data spread across ERP systems, spreadsheets, planning tools, and cloud platforms. This creates forecasting inaccuracies, excess inventory, stockouts, and reactive decision-making. AI-ready data helps organizations create a trusted planning foundation that enables faster, more confident decisions across demand and inventory management.
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Meet Our Speaker
Ruchi Batra
Sr. Sales Engineer, IMEA, Alteryx
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