Case Study
$1.7M annual savings using process mining to optimize Procure-to-Pay (P2P) processes for a chemical Fortune Global 500
- Industry: Chemicals
This global company is one of the largest in the plastics, chemicals, and refining industries. It is publicly traded and features on the Fortune Global 500 list. The company has a presence in over 100 countries and multiple manufacturing sites across continents.
Challenge
- High manual intervention in the procure-to-pay (P2P) process
- Multiple invoice changes and inefficiencies
- Lack of workflow automation
- High volumes of daily purchase orders
- Multiple touchpoints between departments causing inefficiencies
Solution
Our team helped a leading global manufacturer optimize their P2P processes by leveraging enterprise data and analytics. We performed process discovery, analytics, reengineering, and intelligent workflows to achieve a more intuitive and frictionless process. Additionally, we enabled a proactive measurement system for transparent result tracking.
Tech stack
Outcome
43%
Efficiency gain in purchase order processing
1.7M
In annual cost savings
30%
Reduction in rework
10%
Reduction in profiling delays for cancellations
40%
Improvement in invoice processing time