# Logistics and transport

Connect transport documents and operational data to reviewable queries and periodic reports.

## Connect documents with operational data

Transport workflows can combine shipment documents, fleet records and telemetry. Preserve identifiers that connect a document to the right vehicle, trip or reporting period. Define business metrics in the data system before asking a model to answer questions about them.

## Build a traceable workflow

Use [document extraction](https://seedrouter.ai/solutions/invoice-extraction) as a validation pattern for structured fields, adapting the schema to the actual transport document. Keep source-page references and review mismatched identifiers before importing data.

Use [business data queries](https://seedrouter.ai/solutions/business-data-analysis) to translate a question into a reviewable query. Execute calculations in your database and keep the query and result available with the explanation. Use [report automation](https://seedrouter.ai/solutions/report-automation) when the output is a recurring report assembled from known data sources.

## Check operational meaning

Test duplicated shipment records, late-arriving data, time zones, vehicle aliases and missing documents. Reconcile totals with an analyst's reference result. A valid query can still double-count trips or use the wrong reporting window.

For a combined answer, show which part came from a document and which part came from operational tables. The model should not fill a missing trip or cost value with a plausible estimate.

## Confirm the deployment fit

Decide where documents and telemetry may be processed. Regional hosting or self-hosting preferences can determine whether a hosted model API fits the project. This guide does not claim that SeedRouter meets a particular location or offline requirement.

SeedRouter supplies model calls; your systems supply document storage, database access, metrics and permissions. Estimate model costs using [current rates](https://seedrouter.ai/pricing) and actual input sizes, separately from data processing and review.