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Process file · Logistics Logistics

What’s inside: connections to your systems · step-by-step flow

Advance notices into the WMS before the truck arrives

The question this file answersHow often does my receiving team learn what is on a truck only after it has backed up to the door?

Fits: logistics operators handling 100–500+ orders a day, where documents still arrive by email.

Typical day

What the desk looks like today

Typical pattern, not a measured desk — the logistics playbook gives no separate count for ASNs, so we invent none. Suppliers send advance shipping notices as email PDFs and as EDI that disagrees with them. A clerk types expected pallets into the WMS after the driver has handed over the papers.

What changes

What Monday looks like after

The morning after a heavy inbound day, the dock lead opens a short list of notices that did not agree with the booking — not a mailbox of PDFs to retype. Expected pallets are already in the WMS before the first truck arrives; the clerk’s time goes to the disagreements and to the driver at the door.

Typical, not a measured client result. Every figure here comes from the playbook source named below.

Expected

expected pallets in the WMS before the truck arrives — same build as our email-order intake file; no published figure for ASNs

Before: a receiving clerk types expected pallets from mismatched ASNs after the truck is at the dock. After: matching notices are in the WMS before arrival and the disagreements go to the dock lead. No percentage of its own — the intake range is quoted on the parent file.

No published figure for this desk. The range lives on the parent file: Email orders into the TMS you already have →

How this file is built

No published benchmark covers ASN intake on its own. This file borrows the build from email-order intake, where McKinsey (2023) and Deloitte (2022) give a 40–60% range for customer order intake — that figure is about orders and we do not transfer it here. Not a dock-turnaround claim.

What we install

What we put in front of the systems you already run

Your WMS stays, and so does the TMS or ERP it talks to — SAP, Dynamics, CargoWise or the ones you already run. This is the same reading build as our email-order intake file, pointed at inbound:

  1. ASNs are picked up as they arrive — PDFs from the shared mailbox, messages from the EDI feed
  2. pallet and line counts are checked against the purchase order or the booking already in your system
  3. matching inbounds are written to the WMS through its API or the import you use today, and any count that disagrees goes to the dock lead as a short list with both numbers, before unloading starts.
What stays human — and what this will not do

Quantity disputes at the door. Unknown SKUs. The truck that does not match its own notice.

Not a dock-turnaround claim.

What can go wrong — and what we do about it

If purchase orders are not in the system before goods ship, there is nothing to check the notice against and every inbound lands on the review list. Suppliers change PDF layouts and EDI mappings without telling you — a new layout fails reading until it is re-taught, so it goes to a person rather than being guessed.

What it costs to get there

The path: free 60-second estimate → free 20-minute review → paid audit of this one process (€1.5–3K, typically two weeks) → pilot with your people in the loop (€10–20K, weeks, not quarters). No transformation programme. Prices are public, on the services page →

Scoped in the audit — the playbook has no estimate for this exact desk.

This is about you if…
What does this mean in euros?

That depends on your volumes and wage costs — this page will not invent the number. The free 60-second estimate runs that calculation from your answers, with every multiplier sourced.

Get your free savings estimate 60 seconds · no sales call Or write first → Map a logistics process like this one — free, 60 seconds →

Not a named Aperanda client. Process file · Logistics.

Short process file. Same build as its parent file; the playbook has no separate volume or benchmark for this desk.

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