Gartner Featured Session

In this Gartner Featured Session, Misty Alexander, Executive Leader in Insights, Analytics, Strategy & Innovation at Kimberly-Clark, reveals how the company combined AI, external market signals, and econometric modeling to build a more accurate, explainable view of demand.

See the approach that helped Kimberly-Clark move beyond spreadsheet-based forecasting and enabled faster, more confident decisions across finance, supply chain, and commercial planning.

In just 20 minutes, discover how Kimberly-Clark:

• Forecasted demand within 2% of actual results

• Delivered more than $10M in savings

• Reduced safety stock by $1.3M for every 1-point improvement in forecast accuracy

• Built explainable AI forecasts trusted across finance, supply chain and commercial teams.

Forecasting at Kimberly-Clark Scale

Kimberly-Clark operates in more than 175 countries, generates more than $20 billion in annual sales, and serves one in four people worldwide.

At this scale, even small improvements in forecast accuracy can unlock significant value across inventory, investment, supply chain, and commercial planning.

What You’ll Learn 

At this Gartner session Misty Alexander shares how Kimberly-Clark: 

✓ Replaced slow, manual Excel forecasting with AI-powered econometric models

✓ Moved beyond historical-data blind spots using 8M+ external market signals

✓ Overcame executive trust barriers with transparent, explainable forecasts

✓ Reduced planning silos across finance, marketing, commercial, and supply chain teams

✓ Connected forecasting to enterprise planning for faster, higher-confidence decisions 

Register for this Gartner Featured Session to see how Kimberly-Clark uses AI and external data to improve forecast confidence and business decisions.