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Drive smarter spend strategies with AI
The Total Spend Management Annual Benchmark Report
- Source-to-contract
-
Category Strategy
Scale planning across teams -
Sourcing
Get confident decisions faster -
Sourcing Optimization
Unlock maximum efficiency -
Contract Lifecycle Management
Take control end-to-end -
Supplier Information &
Risk Management
Manage risk across suppliers
- Procure-to-Order
-
Intake & Orchestration
Turn requests into action -
Procurement
Buy smarter, spend better -
Services Procurement
Gain visibility and control -
Inventory Management
Manage stock with precision -
Spend Analysis
Get insights you can act on
- Invoice-to-Pay
-
AP Automation
Optimize processes with full visibility -
Expense Management
Automate expense workflows -
Payments
Streamline, secure, and track -
Treasury Management
Optimize liquidity -
Fraud Protection
Detect and prevent
- Direct Spend Management
-
Direct Spend Management
Control spend to drive outcomes -
Direct Material Sourcing Solutions
Connect to strategy, BOMs, and contracts. -
Supply Chain Optimization
Optimize your supply chain for cost, service, and resilience -
Supply Chain Collaboration
Improve alignment across teams
-
Coupa AI Overview
Real AI for real business outcomes -
AI Use Case Library
See how AI drives results -
Coupa Compose
Intelligence on one platform
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- E-Books & White Papers
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Jabil speeds sourcing and saves $13 million with Coupa
Jabil, a global manufacturing leader, accelerated logistics sourcing, modeled 50+ scenarios per event, and saved $13 million using Coupa Sourcing Optimization.
Company Overview
Jabil is a global manufacturing company engineering advanced electronics and medical devices for the world’s top brands.
Headquarters
St. Petersburg, FL
Employees
140,000+
Website
jabil.com/Value as a service
Challenge
Managing hundreds of thousands of lane data points manually across global logistics bids.
Limited to 5-12 sourcing scenarios in spreadsheets restricted optimization.
Slow analysis delayed executive reviews and sourcing decisions.
Results
Reduced sourcing cycle times by about one month per project.
Delivered approximately $13 million in savings across three events.
Increased scenario modeling from 5-12 to 50+ automated models per event."
“We’re saving about a month per project compared to our previous process.”
— Ryan Johnson, Strategic Sourcing Leader, Jabil


