Business Planning, Forecasting & S&OP/IBP: Best Practices Conference
Scottsdale, Arizona, USA | October 17 – 20, 2023
Elevate Your Supply Chain & Operations Planning With Algo
Discover cutting-edge solutions in S&OP, IBP, Demand Planning, and Supply Chain management. Join us for an exclusive session with Mike Lee from Meta and learn how Algo’s groundbreaking solutions empowered their operations. Make your move towards becoming a best-in-class organization.
- Unlock best practices for S&OP and demand planning.
- Learn how to utilize generative AI by an industry leader.
- Find out about the potential outcomes and benefits of AI-powered demand forecasting.
Special Speaking Session
“Everything is New: Building a Demand Planning Organization From Scratch” featuring Mike Lee, Senior Director, Global Sales Operations, Reality Labs at Meta.
Don’t miss this captivating session where Mike Lee will delve into building a demand planning organization from the ground up and discuss the vital role of Algo’s solutions in this journey.
Date: October 19, 2023
Time: 1:15 PM – 2:00 PM
Experience The Algo Platform Live
Bob Doyle, Vice President of Sales, along with Doug Grossman, our Senior Director of Business Development, will be attending the upcoming conference. If you’re curious how Algo works, hit us up for a live demo.
Real-Time Insights
Dive into how Algo can provide real-time analytics and data-driven forecasts to streamline your supply chain.
Custom Solutions
See how our platform can be tailored to meet your unique business challenges and objectives.
Ai-Driven Accuracy
Witness the power of artificial intelligence in elevating your demand planning to new levels of precision and reliability.
Expert Guidance
Our supply chain specialists will be on hand to walk you through the value-driven features and answer any questions you may have.
About the author
Algo
Combining human centered AI with deep domain expertise, Algo’s analytics enriched supply chain intelligence platform helps suppliers and retailers plan, collaborate, simulate and execute a more efficient supply chain.
