Forecast error on a major commodity
cut from 57% to 19%

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Case study

A global crop-protection manufacturer
Industry
Chemicals
Users
Central demand planning, Business unit management, local/central sales and procurement
Scope
Commodity portfolio, buy side and sell side; The whole company portfolio demand
The Challenge
Raw material cost is one of the largest determinants of
financial performance.
Buying price and local demand shaping are the two levers that move cash.
Procurement forecast input prices. Commercial forecast demand. Independently.
Neither could see what its own decisions cost the other.
No one could see the whole value chain at once.
What Hexight Did
Buy side - market signals feed a raw material price forecast, drivers visible.
Procurement buys at an advantageous point rather than a scheduled one.
Sell side — local pricing, inventory and weather give a forecast per market, per SKU.
Scenarios compared side by side and chosen on cash outcome.
Purchase orders out the other end: what to buy, where, how much.
Results
57% → 19%
Forecast error, major commodity
“Using Hexight helps me understand my entire business better. I can clearly see where we can grow revenue or reduce cost.”
— Supply Chain Manager
Where to start?
POC on your own data.
See results in days.
See results in days.
