Manual order entry, eliminated.
Six people spent their days re-typing orders that were already typed — by the customer, into an email, a PDF, or a portal. This 3PL connected what was already written to the system that needed it. 97% of orders now arrive untouched by human hands.
Does this sound like your operation?
Typing what was already typed.
Every order existed twice: once in the customer’s email, PDF, or portal entry — and once in the TMS, re-typed by hand. Between the two copies lived the whole cost: six salaries, a daily backlog, and the error rate that hand-copying guarantees.
THE SAME ORDER — TYPED TWICE BY PEOPLE VS. READ ONCE BY A MACHINE
- The double-entry economy
The customer had already done the data entry. The business paid six salaries to do it again — slower, and with errors the original never had.
- Errors with wheels
A wrong digit in an address is not a typo in logistics; it is a truck in the wrong city. Every manual keystroke was a small bet against physics.
- The backlog set the ceiling
Orders entered by 4 PM shipped today; the rest waited. Intake speed — not trucks, not demand — was the real capacity of the business.
- Hiring was the only lever
Every growth conversation ended at the same place: more volume means more clerks. Margins shrank as revenue grew.
Connect what was written to what needs it.
Document AI reads every inbound order — email bodies, PDF attachments, portal entries, even scanned faxes — extracts and validates the fields, and files clean orders directly into the TMS. Humans review only what the system flags.
- Every format, one pipeline
Structured portal data and a coffee-stained scanned fax end in the same place: a validated TMS order. The engine adapts to the sender; the sender changes nothing.
- Validation before entry, not after shipment
Quantities, addresses, dates, and rates are checked against customer profiles and lane data the moment they arrive. The wrong-city truck retired.
- Confidence-gated, source-highlighted
When the engine is unsure — ambiguous handwriting, a novel format — the order queues for a human with the uncertain field highlighted against the source document. Ten-second decisions, not re-reads.
- The team moved up the value chain
Six intake roles became two exception-handlers — and four people moved to customer service and carrier management, where the growth actually was.
Intake stopped being a department.
- 97% of orders, zero human touch
From arrival to TMS in a median of eight seconds — across email, PDF, portal, and yes, the customers who still fax.
- Entry errors effectively eliminated
Validation at the door replaced discovery at the dock. Claims and re-deliveries from intake mistakes went to zero.
- The 4 PM backlog is history
Orders are in the system before the customer’s confirmation email finishes sending. Same-day capacity is now set by trucks, not typing.
- Headcount became capability
Nobody was let go — four people moved to revenue-side roles the company had been postponing for years. The org chart finally matched the strategy.
The most expensive keyboard is the one typing what already exists.
If information enters your business already written — and someone types it again — that is not a workflow. That is a tax. This is the most common, most measurable, fastest-payback automation in operations, and it is almost certainly running somewhere in your company right now.
What we didn't solve
Two intake roles remain, and they are exception handlers by design. Orders the model will not read confidently — handwritten margin notes on scanned faxes, mostly — queue for a person rather than being guessed at.
Where is YOUR double-entry tax?
Walk us through how orders reach your systems. We’ll size the straight-through version before you spend a dollar.
Want results like these?
Tell us where your team is losing hours. We'll show you exactly what automation can do about it — and what it's worth, before you spend a dollar.
30 minutes · No pitch deck · An honest first read