Overview

Title

How to Automate the Bill of Lading (MBL & HBL)

Author:

Pamela

Published On:

1 min read

How to Automate the Bill of Lading (MBL & HBL)

Automating a bill of lading means one of two things: generating new BOLs automatically from your shipment data, or extracting data from incoming paper and PDF BOLs with AI and OCR. Forwarders usually need both, plus a move to paperless eBL.

TL;DR

  • Two directions: generate outgoing BOLs from your shipment data, and extract incoming BOLs from PDFs/paper with OCR. A third step is going paperless with an electronic bill of lading (eBL).

  • For forwarders it is MBL + HBL: you receive and match the carrier's Master BOL and generate your own House BOL to each customer, from the shipment file.

  • Why generate beats scan: most "BOL automation" tools only read inbound BOLs; the bigger win is auto-producing the HBL/MBL so the data is never typed in the first place.

  • Keep a human gate: OCR assigns confidence scores, auto-fills the clean fields, and flags the blurry ones for review.

  • The payoff: vendors report cutting BOL processing from ~25 minutes to under 2, with 95-99% field accuracy and far fewer re-weigh or reclass fees.

  • With CargoEZ: the Master and House BOL generate from the same shipment record that runs quoting, customs, and invoicing.

The manual reality

Processing a bill of lading by hand takes a logistics team an estimated 15 to 30 minutes each, and by one vendor's count roughly 23% of shipments carry a document error. On a BOL, a wrong weight or freight class is not just a typo: it invites carrier re-weigh and reclassification fees.

Processing-time and error figures (vendor-reported): KlearStack. Treat as directional.

A bill of lading is the receipt, the contract of carriage, and often the document of title. For a forwarder it is also pure repetition: the same parties, containers, weights, and commodity that already sit on the shipment get typed onto a Master or House BOL, or re-keyed off a PDF a carrier emailed back. This guide covers the two directions of BOL automation (generate and extract), the move to paperless eBL, the MBL versus HBL distinction most guides skip, the tools, the benefits, and the cost of staying manual.

Bill of lading automation tools at a glance

Tools fall into three buckets by what they do. We explain each method below; confirm features and pricing with each vendor.

Tool

Type

Best for

What it does

CargoEZ

Generate (forwarder TMS)

Forwarders issuing HBL/MBL

Generates Master & House BOL from the shipment record (G2 4.8/5)

CargoWise / Magaya

Generate (ops suite)

Forwarders wanting BOL inside the full ops/customs file

BOL as part of the shipment and customs workflow

Freight Club / Finale

Generate (shipper/LTL)

Shippers pulling from orders

Auto-populate BOL + labels from sales orders

Parseur / Docsumo / Artsyl

Extract (OCR / IDP)

Reading inbound BOLs

OCR + NLP extract fields to ERP/WMS/TMS with confidence scores

super.ai / iCustoms / Affinda

Extract (IDP)

High-volume document processing

AI extraction with human-in-the-loop validation

WaveBL / Bolero / essDOCS

e-BOL

Paperless title transfer

Electronic bill of lading with digital title transfer + e-signatures

Directional comparison for US freight forwarders. Ratings are vendor-style (ceopickz); verify on the live review pages.

MBL vs HBL: what a forwarder actually issues

Most BOL guides treat "the BOL" as one generic trucking document. For an ocean or air forwarder there are two, and automation handles them differently.


Master BOL (MBL)

House BOL (HBL)

Issued by

The carrier, to the forwarder/NVOCC

The forwarder, to each underlying customer

Covers

The whole container or consignment

One customer's cargo inside a consolidation

Automation job

Receive and match it to the shipment

Generate it from the shipment file, per customer

That split is why forwarders need generation, not just scanning: the HBL is yours to produce, and the fastest way to produce it correctly is straight from the shipment you already booked.

The three ways to automate a bill of lading

Method

When to use it

How it works

1. Generate outgoing BOLs

You create BOLs from your orders or shipments

A TMS/ERP or API auto-populates consignee, items, weights, and hazmat/freight class, then prints the BOL and 4x6 labels together

2. Extract incoming BOLs

Vendors or carriers send scanned PDFs, paper, or email

OCR and NLP read the fields, score confidence, auto-fill the clean ones, and flag the rest for a quick human review

3. Go paperless (e-BOL)

You want to drop paper handoffs entirely

Cloud electronic bills of lading carry digital transfer of title and e-signatures on standards like DCSA

Method 1: generate BOLs from your shipment data

If the data already lives in your system, you eliminate re-typing by producing the BOL from it. Auto-populate the consignee, item counts, and weights from the shipment; configure templates to fill regulatory fields such as hazmat classes and freight classes so you avoid carrier re-weigh and reclassification penalties; and trigger generation by API so the BOL and shipping/tracking labels come out together.

Method 2: extract data from incoming BOLs

When a carrier or agent sends a PDF or paper BOL, AI and OCR tools read it and capture the key fields (BOL number, shipper and consignee, item descriptions, quantities, net weights) into structured data. The system assigns confidence scores: high-confidence fields auto-populate your ERP, WMS, or TMS, while blurry or low-confidence text is flagged for a human. This is where lightweight no-code connectors also live, watching a folder for uploaded BOLs and logging the results.

Method 3: go paperless with an electronic bill of lading

The end state is dropping paper and PDF handoffs for a cloud eBL that supports digital transfer of title and electronic signatures, so release no longer waits on couriered originals. Industry standards (DCSA) and carrier programs are making eBL interoperable across lines.

The forwarder generate-path, end to end:

Shipment file → Auto-populate MBL / HBL → Hazmat / class + validate → Approve → Issue BOL + labels → eBL / release

How CargoEZ does it: CargoEZ generates the Master and House BOL from the shipment record, with marks and numbers, containers, seals, and weights already on the file, gated through an approval chain. The same record also produces the other documents a shipment needs, so the BOL is a by-product of the booking, not a re-typing job.

The benefits of automating the bill of lading

  • 25 → 2 min BOL processing time in a forwarder case study (KlearStack)

  • 76–84% less manual data entry on BOLs (Affinda / Artsyl)

  • 95–99% field accuracy automated vs ~75–80% manual (KlearStack)

  • ~23% of shipments carry a document error done manually (KlearStack)

Beyond the numbers (all vendor-reported, so directional): fewer re-weigh and reclassification fees from wrong weights or classes, faster cargo release once you move to eBL, no re-keying because the BOL comes from the shipment, and capacity to issue more house bills without more headcount.

The cost of producing BOLs by hand

  • Slow. 15 to 30 minutes per BOL adds up fast across a week of house bills.

  • Error-prone. Hand-keyed weights, classes, and party details drive the error rate that triggers carrier penalties and disputes.

  • Re-weigh and reclass fees. A wrong freight class or weight is billed back to you after the fact.

  • Slow release. Paper and PDF originals delay handover; without eBL, cargo waits on couriered documents.

  • Key-person risk. When the BOL template lives in one person's spreadsheet, it leaves when they do.

Which tools do what

Match the tool to the direction you are automating. For generating forwarder bills, a forwarding platform like CargoEZ, CargoWise, or Magaya produces the MBL/HBL from the shipment. For extracting inbound BOLs, OCR/IDP tools (Parseur, Docsumo, Artsyl, super.ai, iCustoms, Affinda) read PDFs into your systems. For paperless title transfer, eBL platforms (WaveBL, Bolero, essDOCS) handle the digital original. Many forwarders run a generator plus an OCR reader; the comparison table at the top shows the landscape.

How CargoEZ automates the bill of lading

CargoEZ treats the BOL as a by-product of the shipment, not a separate typing task. The Master and House bill of lading generate from the shipment record, which already holds the parties, container and seal numbers, marks and numbers, and dual-unit weights, and each document passes through a configurable approval chain before it issues. Because that record also runs quoting, ISF and AMS filing, and invoicing, the BOL data is entered once and reused across the file.

Try the free BOL generator, see the documentation module and its air sibling eAWB automation, read how it fits your wider freight forwarding workflow automation, or book a demo to issue a BOL straight from a shipment.

How do I automate a bill of lading?

Two ways, usually together: generate outgoing BOLs from your shipment or order data (so nothing is re-typed), and extract incoming PDF/paper BOLs with OCR into your systems. A third step is adopting an electronic bill of lading (eBL) to go paperless.

What is the difference between a Master BOL and a House BOL?

The carrier issues the Master BOL (MBL) to the forwarder for the whole consignment; the forwarder issues a House BOL (HBL) to each underlying customer. Automation receives and matches the MBL and generates the HBL from the shipment file.

Should I generate BOLs or just scan them with OCR?

If the data is already in your system, generating the BOL is better because the data is never re-typed. OCR extraction is for BOLs that arrive from outside as PDFs or paper. Most forwarders need both.

Is an electronic bill of lading (eBL) legally valid?

eBL platforms support digital transfer of title and electronic signatures on industry standards (such as DCSA), and adoption is growing across carriers. Confirm acceptance with your carriers and counterparties for a given lane before relying on it.

How accurate is BOL automation?

Vendors report 95-99% field accuracy on generated or well-scanned documents, versus roughly 75-80% manually, with low-confidence fields flagged for human review. Handwriting and poor scans are the weak points, so keep a review gate.

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See how CargoEZ delivers the fastest time-to-value in the market

    • Best in class software

    • Easy onboarding

    • Live support 

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