Process mining emerges as a very important tool in the automotive industry to
improve processes and increase efficiency. Its use allows the identification of
bottlenecks and opportunities for improvement in production processes,
contributing to increased productivity and cost reduction. This article aimed to
evaluate the benefits of applying the Process Mining tool by conducting a
Three-way match analysis in the Procure-to-pay (PTP) process of a company in the
auto parts sector, seeking to identify opportunities for improvement. Analysis
using process mining in PTP of the organization allowed us to identify
significant number of cases of price discrepancies were observed in relation to
orders related to services, being 2.5 times higher than orders related to
materials. Additionally, quantity discrepancies represented 24% of the cases
analyzed, compared to only 1.5% of price discrepancies. Of the materials
involved in these price discrepancies, approximately 63% were not registered in
the system. Most cases of price discrepancies among material suppliers were
related to transportation services. Furthermore, 22% of the processes analyzed
involved price changes, possibly due to how tax calculation was configured in
the SAP system. It is recommended that the company continue to seek solutions to
reduce price discrepancies, especially concerning service orders, and increase
the level of automation in purchasing and payment processes. In light of the
presented results, the process mining tool emerges as a strategic ally, offering
competitive advantage by identifying bottlenecks, reducing costs, and automating
processes.