51 Process mining case studies & project results in 2025

updated on Jul 17, 2025

Typical processes in process mining case studies

Insights from process mining enable data driven decision making, identify bottlenecks and reduce costs . This article aims to reveal typical results and usage areas of process mining, including a summary of these case studies.

Business outcomes of process mining projects

After mining their processes, many organizations gained vital insights into their businesses. These insights helped them to execute better process analysis and prepare action plans. In conclusion, companies have achieved various results for process improvement. Top 3 typical results are as the following:

1- Data-driven decision making

An essential benefit of process mining is to be data-driven. While extracting processes, the software always uses real data. This enables insights from the process mining tool to be factual. As a result, companies can diagnose their processes confidently. They move forward with real data; not personal opinions or guesses.

2- Reduced costs

One thing companies usually try to aim is to reduce their costs and generate higher profits. By analyzing event logs, process mining can show a company the duration of each stage in its process, its costs, and ways to improve it. The company can get rid of unnecessary costs and make relevant moves to reduce them.

Real-life example

For example, by using process mining, Vodafone discovered that they have low automated transactions, and decided to focus on this area. As it started to use robotic process automation (RPA) to improve its order process, Vodafone has decreased its unit process order costs from $3.22 to $2.85.

3- Identification of the bottlenecks

At some point, the processes may have several stages which take too much time and cause processes to slow down. This reduces efficiency because it affects other stages for not working properly. The companies can identify those stages and take action to reduce them.

Real-life example

For example, BridgeLoan has integrated a process mining tool into its ERP system to identify the bottlenecks in their loan application processes. After recreating their processes, the process started to progress 40% faster and the company can now process 30,000 applications in a month.

What are typical processes to be mined?

The companies mine various processes to understand what their actual processes look like and find ways to improve them. These processes are usually the ones which the company can increase its level of automation.

The typical processes we have observed from the case studies are:

Purchase-to-Pay
Order-to-Cash
Logistics
Quality Management
Finance
Healthcare
Education

Feel free to read our guide to learn more on process mining use cases.

Process mining case studies

Below, you can find the extended list of process mining (PM) case studies which we have collected from different resources with the achieved results. Filter the list by the service provider, industry, or process:

Company	Country	PM Tool	Industry	Process	Results
AB InBev	Belgium	QPR	Food & Drink	Supply chain	▪ Reduced operational costs ▪ Better visibility of actual performance
Afrisam	South Africa	QPR	Construction	Risk management	▪ Improved overall process efficiency ▪ Identification and better visualization of risks ▪ Real-time performance monitoring
Akzonobel	Netherlands	Celonis	Chemicals	Purchase-to-Pay, Accounts Payable, and Order-to-Cash	▪ Identified that 18% of process have manual changes ▪ Improved SRM efficiency from 40% to 70% in one year ▪ Reduced costs
Alexianer	Germany	Lana Labs	Healthcare	Emergency hospitalization	▪Optimized the patient care quality ▪reduced waiting times by 80% ▪Improved communication across functions
Alliander	Netherlands	Lexmark	Utilities	Purchasing	▪ Gained insights into the complexity of the process ▪ Elimination of unnecessary steps ▪ Standardization of the process ▪ Discovery of the need of staff re-training
Amag	Switzerland	QPR	Automotive	Finance & Controlling	▪ Improved KPI measures ▪ Improved operating efficiency by focusing on underperforming targets
Ana Aeroports	Portugal	Process Sphere	Travel	Service Process	▪ Identification of unoptimized steps ▪ Elimination of non-value-add tasks which speeds up the process ▪ Quick identification of problems and improvement opportunities
Anonymous	Australia	Not disclosed	Bank	Mortgage Approval process	▪ Identification of communication issues between front office and back office.
Anonymous	Eastern Europe	StereoLOGIC	Bank	Back Office Operations	▪ Process optimization by an average of 16%. ▪ 4 month ROI
Anonymous	Canada	StereoLOGIC	Financial services	Call Center Operations, Back Offices	▪33.6 % process efficiency gain in less than 3 months

Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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