Data integration
Tariffs from several sources need ownership, effective dates, validation and controlled updates before calculations use them.
Historical case study · logistics
CS WEB was developed to reduce duplicate tariff maintenance and manual quotation work for cross-modal transport. It combines centrally updated tariff data with repeatable calculations and quote generation.
At a glance
The core challenge is not displaying a result, but proving which tariff data and rules produced it.
Tariffs from several sources need ownership, effective dates, validation and controlled updates before calculations use them.
The same inputs and rule version must produce an explainable result across transport modes and quotation revisions.
Generated offers retain their source version and access is restricted around commercially sensitive tariff data.
Describe the process, systems, constraints and success criteria. We will assess what is realistic and which evidence is needed.