Bill of lading and POD data extraction for freight teams
Bill of lading and POD automation collects delivery paperwork from driver uploads, email and fax, matches each document to the right load, reads signatures, dates and noted exceptions, and attaches it to the record so billing can be released. Shortages, damage notes and missing signatures go to a person, not to the invoice.
BOL and POD capture · one run
Rules · Model · Person- 1
Collect
Rules - 2
Identify the load
Model - 3
Read the delivery facts
Model - 4
Check against the load
Rules - 5
Resolve exceptions
Person - 6
Attach and release
Rules
- What goes in
- Phone photos, scans, faxes and emailed PDFs of BOLs and PODs
- What comes out
- Documents matched to loads and checked, with billing released or held
- Who approves
- Billing or operations rep, for exceptions: shortages, damage and missing signatures
Where the time goes today
What logistics teams tell us about this work.
Invoices wait for a photo
Delivery happens on Monday. The driver's photo of the signed BOL reaches the broker on Wednesday as a rotated image in an email titled 'pod'. Billing cannot release until someone files it.
Which load is this?
Documents carry a PRO number, a PO number, a BOL number or only a shipper name. Finding the load means searching the TMS, and multi-stop loads have several documents each.
Exceptions are written in the margin
'Short 2 pallets' or 'box crushed' scribbled beside the signature is easy to miss. Billing sends the invoice, and weeks later a claim shows up.
How the automated workflow runs
Each step is fixed rules, a model reading or drafting, or a person on your team. The people steps are where approvals sit.
- 1
Collect
Documents arrive from a shared mailbox, driver app uploads, fax-to-email and EDI. Pages are split and cleaned: rotated, cropped and de-skewed.
Rules - 2
Identify the load
Reads BOL, PRO, PO and reference numbers plus the shipper and consignee, then matches against open loads with a confidence score for each match.
Model - 3
Read the delivery facts
Reads delivery date and time, receiver name, whether a signature is present, and handwritten notes such as shortage, overage, damage or refused.
Model - 4
Check against the load
Compares piece count and weight with the load, the delivery time with the appointment, and the document type with the stop: BOL at pickup, POD at delivery.
Rules - 5
Resolve exceptions
Missing signatures, noted exceptions and unmatched documents go to a rep with the image and the field in question side by side. Damage and shortage notes are routed to whoever owns claims.
Person - 6
Attach and release
Clean documents are attached to the load in the TMS and the load is marked billable. Held loads show the reason on the record.
Rules
Want to see how a project like this is scoped and delivered? Read how we work.
Controls and approvals
- Documents that cannot be matched with confidence above your threshold stay in a queue and are never attached to a best-guess load.
- A noted exception on a POD holds the billing release until a rep has reviewed it.
- The original image is kept with every extraction, so billing or a claims adjuster can see exactly what the receiver signed.
What we leave to people
A faint or partial signature is flagged and never accepted as valid. We do not judge liability for damage. The system records what the receiver wrote and hands it to whoever owns claims.
Systems it connects to
Examples of tools we work with for this workflow. Anything with an API or a controlled interface is in scope.
- McLeod
- MercuryGate
- Turvo
- Samsara
- Motive
- Google Drive
We attach documents to loads through your TMS API or EDI and read driver uploads from apps such as Samsara or Motive where you use them. Where a TMS has no API we use controlled browser automation with the same audit log.
What to measure
We set a baseline from your own records in the audit, then report these every month.
Illustrative example
Suppose 20% of 500 monthly loads wait two days or more for paperwork. That is 100 loads with delayed billing. The audit measures your own document lag by customer first, because a few customers with strict POD requirements often cause most of the wait.
| Measure | How to read it |
|---|---|
| Hours from delivery to POD attached | Median and 90th percentile, by customer and by source: driver app, email or fax. |
| First-pass match rate | Share of documents matched to the right load without a person. |
| Exceptions caught at capture | Shortage and damage notes found when the POD arrived, compared with those first found at claim time. |
| Billing release time | Days from delivery to invoice release. |
Common questions
Can it read handwritten notes and faxed PODs?
It can read many of them, and the limit is image quality. A third-generation fax or a photo in poor light will fail more often. We score your own documents before launch, and anything uncertain goes to a rep with the image shown beside the field.
Does it replace the document scanning in our driver app?
No. The driver app is a good way to capture a photo, and we read what it uploads. The gain is in matching, checking and attaching the document without someone doing it by hand.
How does it handle multi-stop loads and partial deliveries?
Each document is matched to a specific stop, using addresses, references and dates. Partial deliveries record the received quantity per stop, and a difference from the booked quantity is an exception for a rep.
Can it help with freight claims?
It records noted exceptions at the moment a POD arrives and keeps the image, which gives claims a start. Filing, negotiating and settling a claim stay with your claims team.
Related
- SolutionDocument intelligenceAI that reads contracts, invoices, forms and claims, checks every field and enters the data into your systems.Read more
- BlueprintOrder-to-cash systemThe proof of delivery triggers invoicing in order-to-cash, so capture speed sets how soon billing can start.Read more
- IndustryAI for logisticsRate confirmations, BOLs, PODs, carrier invoices and status updates, handled in your TMS.Read more
Tell us how your logistics team handles this today.
A 30-minute call with an engineer. You will leave knowing what a system could do for that workflow and what it would take to build.
What happens next
- 1
Strategy call
We learn how the workflow runs today and what a good outcome would be.
- 2
Workflow audit
We map the process and measure where a system would save the most time.
- 3
Proposal
A written scope, timeline and fixed price for your first system. No obligation to build.