The logistics phone rings all day about the same thing

Where time leaks in logistics

Logistics in a manufacturing company is constant back-and-forth. With carriers, with recipients, with the warehouse, with the ERP system, which doesn't always match what's actually on the shelf.

Delivery scheduling is a sequence of calls and emails between the forwarder, the carrier, and the recipient to lock in a time slot — and at higher order volumes it eats up half a day. Delivery status communication happens reactively: the recipient asks, someone checks, someone answers, instead of the information going out automatically. Transport complaints scatter across forwarders' files, emails, and warehouse documentation, with no single place to see the history. And at the end of the month, someone manually stitches together a KPI report from data pulled out of several systems.

All of this is repetitive and predictable. Which means it can be handed off to a tool.

What can actually be built

A scheduling assistant that handles time-slot coordination instead of a forwarder picking up the tenth call about it. Automatic status communication to recipients — the update goes out on its own at each delivery stage, instead of waiting for a question. Consolidation of transport complaints into a single database with a history, instead of searching correspondence across inboxes. A KPI dashboard that pulls together on-time delivery, transport costs, and complaint rates from different systems, so the report for management builds itself.

For companies planning routes across multiple carriers — support in comparing options and consolidating orders, in places where the decision today rests entirely on one person's experience. That's knowledge worth capturing before that person goes on leave or changes jobs.

From this list, you pick one or two things for the first week. Not everything at once.

Where to start

First you need to see which of these calls repeat most often — that's where the biggest return is. Sometimes it's scheduling, sometimes delivery statuses, sometimes complaints. The map comes from observing the department, not from assumption. I describe how such an implementation runs step by step on the logistics variant page.

An honest caveat. If the discrepancies between the warehouse and the ERP come from someone not scanning receipts or from a leaky procedure, AI won't paper over that — at most it will show you faster where it's leaking. The tool supports a process that works. A process that doesn't work has to be fixed first.

What's next

If people in your logistics department spend more time answering the same questions than planning, this is exactly the case for a first implementation. One process, four weeks.

→ See the logistics department implementation → Book a 30-minute consultation

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