In today’s fast-paced business environment, inefficiencies can severely hinder operations, especially for global organizations like Deutsche Telekom. The company faced significant challenges in its procure-to-pay (P2P) process, such as high invoice rework rates and discrepancies in purchase order data. That’s when they turned to process mining to uncover hidden inefficiencies and transform their workflows.
The Challenge
Deutsche Telekom’s P2P process spanned multiple systems and stakeholders, leading to data silos and process complexities. These issues resulted in delayed payments, higher costs, and a lack of transparency. The organization needed a way to visualize the entire process and identify areas for improvement.
The Solution
Using process mining technology, Deutsche Telekom mapped its P2P process in unprecedented detail. By analyzing real-time data from their systems, they discovered inefficiencies, including:
- Frequent mismatches between purchase orders and invoices.
- Bottlenecks in payment approvals.
- Unnecessary manual interventions.
Armed with these insights, the company implemented targeted solutions, such as streamlining approval workflows and automating manual tasks. In total they saved more than €60 million!
The Results
Deutsche Telekom achieved remarkable results:
- A significant reduction in invoice rework.
- Enhanced process transparency.
- Cost savings through optimized operations.
This success story highlights how process mining can turn data into actionable insights, driving efficiency and boosting business outcomes.
Read more in the original case study: https://www.celonis.com/customer-success-stories/deutsche-telekom-procure-to-pay-process-mining/
