How AI Reduced Freight Rate Processing Costs by 94%

Eservecloud built an intelligent, carrier-agnostic freight-rate automation platform that converts complex carrier emails, Excel files, PDFs, scans and images into validated, ERP-ready pricing data in seconds.
AI DOCUMENT INTELLIGENCE
FREIGHT AUTOMATION
ERP INTEGRATION

~94%

lower cost vs. manual processing

$0.08

average AI cost per rate sheet

≥85%

charge codes auto-accepted

≥90%

field-level extraction accuracy

<20 sec

end-to-end processing time

20+

carrier formats supported

THE BUSINESS OUTCOME

A repeatable freight-rate ingestion workflow that reduces manual entry, standardizes carrier pricing data, controls AI risk with source evidence, and writes clean structured output back into existing enterprise systems.

Freight pricing arrives in every format - and every carrier speaks a different language

Freight forwarders receive continuous rate updates from carriers and NVOCCs. The information can arrive in email bodies, multi-sheet spreadsheets, PDFs, scanned documents or screenshots – often within the same email thread.

The real challenge is not simply reading the document. The organization must interpret rate structures, recognize carrier-specific terminology, understand inclusions and exclusions, standardize charge codes, and enter the correct data into a freight management or ERP platform.

01 FORMAT HETEROGENEITY

No two carriers follow the same schema. One update may be an Excel workbook; another may be a PDF or a rate table embedded directly in an email.

02 CHARGE CODE VARIANCE

BAF, FAF, Bunker Adjustment Factor, FSC and BUC may all describe the same underlying surcharge. Static lookup tables are fragile.

03 CONTEXTUAL AMBIGUITY

Phrases such as “EBS Inclusive” change the commercial meaning. A naive extractor can create systematic quoting errors.

04 SCALE BOTTLENECK

Manual ingestion scales linearly with carrier count and shipment volume, forcing operations teams to grow simply to maintain the same turnaround time.

What the solution needed to achieve

  • Process heterogeneous carrier communications without building a new template for every carrier.
  • Extract structured freight rates while preserving source context and supporting multi-currency information.
  • Normalize vendor-specific surcharge terminology into a master charge-code taxonomy.
  • Prevent uncertain or hallucinated values from silently reaching the ERP.
  • Integrate with existing enterprise applications rather than replacing the client’s current UI or rate platform.

DESIGN PRINCIPLE

Automate the repetitive work, preserve evidence for every important decision, and involve a human only when confidence is genuinely low.
Scroll to Top