BENCHMARKS · YES TO JOB FILE
Minutes per job file, and the quote-to-booking gap.
A booking desk runs on two numbers: how many minutes it takes to turn an accepted quote into a job file, and how many accepted quotes actually become booked jobs. Here is what is on record about the first, why nobody has published the second, and what a slow job file costs at the cut-off — sources named on every table.
SOURCES: DCSA · MAERSK/IBM · MCKINSEY · INTTRA/E2OPEN · UPDATED JULY 2026
Minutes per job file: the re-keying reality
Between a customer’s go-ahead and a booked container sits a job order that somebody has to build — and today it is mostly built by re-typing data that already exists in the accepted quote. Those minutes are the first number a booking desk should know about itself:
| Figure | What it measures | Source |
|---|---|---|
| 15–30 min | of pure data entry to create one booking manually — re-typing what the quote already knew | Industry workflow descriptions (vendor-published), consistent with DCSA's neutral characterization of booking data entry |
| 1.2% | of carrier bills of lading were digital in 2021 — the rest of the industry's shipment data moves by re-keying | DCSA (Thomas Bagge, CEO) |
| 200+ | interactions across ~30 organisations for a single container shipment | Maersk / IBM shipment study (2014, durable) |
| up to 60% | possible reduction in documentation lead time with generative AI, including auto-generated shipping documents | McKinsey |
| 1–4% | typical human data-entry error rates — a general benchmark, not forwarding-specific | General data-entry studies (flagged: not freight-specific) |
SOURCES NAMED PER ROW · VENDOR-DESCRIBED AND NON-FREIGHT FIGURES FLAGGED IN-LINE
Read the last row carefully: even at general-office error rates, a desk creating forty jobs a week by hand is shipping typos into B/Ls, customs filings and invoices — where each one becomes an amendment, a query or a dispute with a fee attached.
Quote-to-booking conversion: the number nobody publishes
The second number is the one that turns minutes into money: of the quotes a customer says yes to, how many become a booked job, and how long each yes waits for its job order. It is also the number with no public record at all — and even the 15–30 minutes above is a vendor-described range for data entry alone, not a measured time per job file.
No public benchmark exists for time-per-job-file, booking amendment rate, or quote-to-book conversion — we searched, and the widely repeated “one in three B/Ls gets amended” claim has no traceable source, so we don’t use it. Our quarterly desk report will publish these numbers from live, anonymized forwarder desks: minutes per job file, amendment frequency, and quote-to-book conversion. Until it does, we publish no figure of our own here either. The claim on this site is a mechanism, not a stopwatch: the job order is built from the quote the shipment was won on, and nothing is re-typed.
Where the minutes go: the job file, not the carrier booking
The forwarder-to-carrier leg of booking is already substantially digital. That is precisely what makes the remaining gap visible: the network can carry a booking in seconds, but somebody still has to build the job file that feeds it.
| Figure | What it measures | Source |
|---|---|---|
| 850k+ | container orders processed per week on the INTTRA network | INTTRA / e2open published figures |
| 25%+ | of global ocean trade booked through the network | INTTRA / e2open published figures |
| ~71% | of world ocean capacity connected to the network | INTTRA / e2open published figures |
SOURCE: INTTRA / E2OPEN PUBLISHED NETWORK FIGURES
What a slow job file costs at the cut-off
At the cut-off, minutes per job file stop being an efficiency metric. Cut-offs are the deadlines that decide whether a confirmed container actually sails. Miss one and the box rolls — and the meter starts.
| Figure | What it measures | Source |
|---|---|---|
| 7–10 days | typical delay to the next sailing when a container rolls | Industry sailing-frequency descriptions |
| $100–300/day | demurrage — the container occupying the terminal beyond its free days | Published carrier and port tariff ranges |
| $150–400/day | detention — holding the carrier's equipment outside the terminal too long | Published carrier tariff ranges |
| $1,400–7,000 | the cost of a 14-day roll at those per-day ranges, before commercial damage | Derived from the tariff ranges above |
| 37% | average rollover rate at major transhipment hubs — a 2020–21 crisis-era peak, not a steady state | Ocean Insights (via Cogoport) — flagged: crisis-era vintage |
SOURCES NAMED PER ROW · 2020–21 FIGURES FLAGGED AS CRISIS-ERA
Overbooking and vessel changes are the carrier’s share of rollover risk. Missed SI, VGM and gate-in cut-offs are yours — the only slice of a rolled container a forwarder actually controls is cut-off discipline.
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