AI case study

Wilbur-EllisDynamic pricing

Local teams used static spreadsheets covering half the catalog. Now, they use AI to analyze 15 attributes and dynamically adjust rates.

Published|today

Key results

Margin Uplift
2%
ROI Payback Time
<1 year
SKUs Priced Real-Time
6,000+

Result highlights

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The story

Context

A $3.5 billion global agribusiness and specialty chemicals leader with 4,400 employees relies on complex pricing strategies across a massive agricultural retail portfolio.

Challenge

Local teams spent 48 hours updating static manual spreadsheets that only covered less than half of the product catalog. This slow process resulted in...

Solution
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Scope & timeline

  • 6-week deployment time vs 8 weeks planned

Quotes

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The company

Wilbur-Ellis logo

Wilbur-Ellis

wilburellis.com

Distributor of agricultural products, animal nutrients, and specialty chemicals.

IndustryIndustrial & Manufacturing
LocationSan Francisco, CA, USA
Employees1K-5K
Founded1921

The vendor

Revenue lifecycle management platform for CLM, CPQ, and document automation.

IndustrySoftware & Platforms
LocationBroomfield, CO, USA
Employees1K-5K
Founded2006

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