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Business Intelligence

Webinar: The Power of Connecting to End-Customer Demand

webinar description

Leading supply chain organizations use true demand to increase service levels and grow sales. Especially as omni-channel commerce increases complexity and retailers put increasing pressure on consumer goods companies, managing to end-customer demand is key to keeping up with a fast changing market. Developing a single source of truth across your supply chain can help you strengthen your relationships with internal and external partners, and quickly collaborate to respond to the market, avoiding out-of-stocks and over-stocks. 

Join us to learn why downstream sales and inventory visibility is critical to best-in-class supply chain organizations, and how you can start (or accelerate) leveraging it efficiently to gain a competitive advantage. We'll share best practices for advancing from data ingestion to predictive analytics to decision-making, like forecasting and product launch management.

Reasons to attend the webinar:
  • E-commerce, frequent product launches, and SKU proliferation have added to the complexity of managing supply chain data and understanding demand

  • Companies adopting demand-driven supply chains enjoy increased sales, reduced operating expenses and improved working capital (from KPMG's Demand-Driven Supply Chains 2.0)

  • Learn how a single source of truth on demand helps strengthen your relationships with internal and external partners and improve customer experience

  • Get best practices for advancing from data collection to predictive analytics to decision-making, like forecasting and product launch management

  • Hear how a leading CPG improved service levels and customer experience with collaborative replenishment

Who should attend:

Any business leader that wants a deeper, data-driven relationship with their end-customers, while better understanding the overall market.

Speakers:
Alloy
Joel Beal, Co-Founder & CEO
Joel Beal is a co-founder and CEO of Alloy. Prior to Alloy, Joel was VP of Product at Addepar, a financial analytics company, and has also worked at Applied Predictive Technologies, which specializes in business analytics software for large, consumer-facing businesses. He holds an M.A. in economics from Stanford University, and a B.A. in economics and mathematics from Columbia University.
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