Context
A large petrochemical manufacturer in Saudi Arabia buying across thousands of materials.
Challenge
Procurement decisions relied on manual forecasts and fragmented supplier data.
What we deployed
Intelligent procurement: demand forecasting, price prediction, order optimisation and supplier ranking.
Typical architecture
- STEP 01
ERP purchase history ingested
- STEP 02
QIPP forecasts demand and prices
- STEP 03
Optimised order recommendations to buyers
Illustrative of how this solution is typically structured and governed; deployment specifics are available under NDA.
Results
- USD 91.5M annual savingsCompany-stated
- −8% procurement costCompany-stated
- +15% forecast accuracyCompany-stated
- Inventory carrying cost −8–10%Company-stated
NoteResults from deployments by GoGenesis and its platform partners. Outcomes vary by portfolio and operating environment; your results are set in the pilot.
Governance approach
- Buyers approve every order recommendation
Illustrative of how this solution is typically structured and governed; deployment specifics are available under NDA.