Automated dock appointment booking, step by step

Dock appointment booking is a good first integration for many warehouses because everyone can see the problem and the data is mostly already there. It is also a good example to walk through, because it shows what an AI integration actually does, step by step, and how much of it is ordinary engineering rather than anything mysterious.

The word automated needs a caveat before we start. The AI reads, matches and proposes. A person confirms. The dock team stops spending its morning on email.

How booking works today

In most operations the dock calendar is a shared spreadsheet or a page in the warehouse system, and it is filled in by a coordinator from three streams. Carriers email to ask for a slot, often with the wrong reference and sometimes for the wrong day. Drivers and dispatchers phone. Head office sends inbound orders that imply a delivery without naming a time.

The coordinator reads each request, finds the order it belongs to, checks what is already booked, judges how long the unload will take from the pallet count and the product, and offers a slot by replying to the email or calling back. Then the carrier counters, and the loop runs again. On a busy morning this is a full-time task, and the yard pays for every mistake in waiting trucks.

What the AI reads

The integration reads the same three streams the coordinator does, plus the things the coordinator carries in their head.

• The inbound and outbound orders from the warehouse system, through its API or a copy of its database: what is expected, from whom, how many pallets, what kind of product.
• The carrier requests, from the shared mailbox: the email, the attachment, the phone number of the person to reply to.
• The dock calendar as it stands: which doors are booked, for what, and for how long.
• Dock capacity and the rules the coordinator applies: which doors take which trailers, how long a typical unload of a given product takes, which hours are kept clear for outbound, and the client who always arrives late.

Those rules are written down with the coordinator during the requirements step. Most have never been written down before, and the act of doing it is useful on its own.

How it proposes slots

For each carrier request, the integration finds the order it refers to, even when the reference is wrong, by matching the carrier, the client, the pallet count and the expected date. It estimates the unload time from the product and the history of similar deliveries. It then looks at the calendar and the rules and proposes one or two slots that fit, with a short reason: "door 3, 10:30, forty minutes; door 5 is kept for outbound until noon".

Where the request does not match any order, or two orders match, or the trailer type does not suit any free door, the integration does not guess. It flags the request for the coordinator with what it found and what it could not resolve.

A person confirms in the redfly Portal

The proposals land in the redfly Portal, in a queue the coordinator works through. Each shows the carrier email beside the matched order and the proposed slot on the calendar. The coordinator confirms, picks the other slot, changes the time or rejects it. Only on confirmation is the slot written to the calendar and the reply sent to the carrier, from the operation's own address, in the operation's own words.

When a carrier replies to counter, the integration reads that too and brings the thread back to the coordinator with a fresh proposal. The person stays in charge of every booking. What changes is that the coordinator is deciding between good options rather than hunting for the order and counting pallets.

How it is piloted and tested

Before the dock team relies on it, the integration is tested against a set of checks written with the coordinator: a sample of last month's real requests, each with the slot the coordinator actually gave, and the awkward ones, such as the duplicate request, the wrong reference, the trailer that needs a specific door. The integration has to match the coordinator or flag the case.

Then one dock, or one client's deliveries, is piloted for a few weeks. The coordinator works the queue, and every correction is read: why was the proposed slot wrong, what rule was missing, which carrier format fooled the matching. Each becomes a change or a new check. When a busy week passes without a new kind of correction, the pilot widens to the rest of the docks, with our team watching what comes through.

What changes for the dock team

The coordinator spends the morning confirming and correcting rather than reading and typing, and has time for the exceptions that need a phone call. Carriers get an answer sooner, because the proposal is ready when the coordinator opens the queue. The yard sees fewer trucks waiting for a door that was double booked. The calendar becomes a log of decisions rather than of guesses, and the rules in the coordinator's head are written down for whoever covers the shift.

The AI does the reading, matching and counting; the coordinator does the deciding.

Automated dock appointment booking is one of the example integrations redfly builds with warehouse and distribution companies: woven into the warehouse system and the mailbox you already run, piloted with your dock team, and landing in the redfly Portal where your coordinator confirms every booking.