European Transport Compliance & Rules Engine
As part of a large enterprise ERP system, I developed a specialized rules engine for transportation operations across the European Union.
The module automatically determines whether a planned transportation operation complies with applicable regulations, taking into account vehicle characteristics, cargo parameters, routes, countries involved, and specific transportation conditions.
The underlying business logic was highly complex, with numerous regulatory rules, exceptions, dependencies, and combinations of operational parameters. Many of these requirements had previously been handled manually, making the process difficult to maintain and creating a significant risk of human error.
The solution transformed this complex regulatory knowledge into an automated software-based decision engine. It helped transportation teams identify potentially non-compliant operations before they were executed, significantly reducing the risk of incorrect transportation practices, regulatory violations, and costly fines.
The system was implemented as part of a proprietary ERP platform using .NET, MSSQL, WinForms and DevExpress. Due to the confidential nature of the ERP system, the source code and detailed business rules cannot be publicly disclosed.
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Automated Transportation Pricing Engine
As part of a large enterprise ERP system, I developed an automated engine for calculating the cost of transportation orders based on more than 40 business and operational parameters.
The pricing calculation involved complex business rules, multiple dependencies between parameters, and a large number of possible combinations. Previously, the calculation was performed using Excel-based processes and could take up to 10 minutes for a single order.
I designed and implemented a software-based calculation engine that automated this process and moved the complex pricing logic from manual Excel calculations into a maintainable and executable business rules system.
The result reduced the calculation time from up to 10 minutes to approximately 5 seconds per order.
Because the solution was developed as part of a proprietary ERP system, the source code and implementation details cannot be publicly disclosed. However, I can discuss the architecture, engineering challenges, optimization approach, and the business logic involved at a high level.
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