The Trust Equation: Building Data Confidence in the AI Era | Alteryx + Golden Analytics + McGarrah Jessee. Watch On-Demand
Summer 2026 Release Webinar: See how to build a trusted business logic layer for AI with clear ROI. Watch Now
Announcing Alteryx One Summer 2026 Release: Governed analytics anywhere work happens. Explore Now
Alteryx on Tour is here: Experience the power of agentic analytics in a city near you. Find a City
Introducing Agent Studio: Transform your business logic and data into conversational insights. Learn More
hero background shape
On-Demand Webinar

How much inventory should we have?

Amway’s data science team shares how trusted data answers the inventory question

What does it take to answer one of the most important questions in supply chain: How much inventory should we have to meet customer demand without overstocking and tying up working capital?

In this customer webinar, Casey Koopmans, Principal Data Scientist at Amway, joins Maddy White, Solutions Marketing Manager at Alteryx, to share how his team is transforming fragmented supply chain data into trusted, actionable insights. By improving data preparation, automation, and analytic agility, Amway is helping the business make faster, more informed decisions — strengthening resilience today while building the governed data foundation needed to support future AI use cases.

You’ll hear how Amway is:

  • Balancing customer service levels with inventory and working capital constraints
  • Using predictive analytics to better understand lead time variability and transportation dynamics
  • Creating greater end-to-end visibility across a highly complex global supply chain
  • Building a trusted, well-prepared data foundation to support future AI and advanced analytics

Watch an inventory management solution demo and live Q&A with Casey.

 

Meet Our Speakers

Casey Koopmans image
Casey Koopmans

Principal Data Scientist, Amway

Maddy White image
Maddy White

Solutions Marketing Manager, Alteryx

 

Recommended Resources

 
Customer Story
Amway Adapts to Product Hierarchy Changes in Minutes
Amway migrated its data to Google Cloud BigQuery and centered its product hierarchy around Google Cloud Dataprep.
  • Cloud Customer Spotlight
  • Cloud Products
  • IT Professional
Learn More
 
Customer Story
Automation at Amway Results in Over $80,000 of Savings Annually
Retailer Amway, automated over 20 data processes and eliminated 350 hours of data prep.
  • Process Automation
  • Analytics Leader
  • Business Leader
Learn More
 
Webinar
Breaking the (Supply) Chain: Amway’s Analytics Strategy for Stock Optimization
  • Data Science and Machine Learning
  • Professional
  • Supply Chain
Watch Now