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Delivery trucks at a logistics depot, ERP delivery booking automation case study

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ERP delivery booking automation for a logistics operator.

A delivery booking should not need three people to retype the same details before a truck moves. We wired bookings straight into the ERP for a logistics operator, so dispatch, routing and customer comms all fire from one record.

Operations ERP Logistics Integration Client under NDA
Before

Manual booking to dispatch hand offs, errors and slow customer comms.

We built

Bookings flow into ERP, dispatch, routing and comms trigger automatically.

Result

Bookings flow straight to dispatch · fewer manual errors · faster customer confirms.

Booking to dispatch pipelineExample view
Booking received→ Details validated→ Logged to ERP→ Dispatch job created→ Route assigned→ Customer confirmed

What was breaking before?

Manual booking to dispatch hand offs, errors and slow customer comms. That was the state before the build. A delivery booking arrived by phone, email or customer portal, and a person retyped the details into the ERP, then passed the job to dispatch, then sent the customer a confirmation. Every retype was a fresh chance to get an address, a load or a time slot wrong.

Dispatch worked from whatever reached the desk, so jobs queued behind the person doing the capturing. Customers waited for confirmation until someone found a gap to send one. Busy days made every step slower, because the same hands did the capturing, the checking and the confirming. Errors surfaced late, usually at the truck or at the customer gate. The ERP itself was not the problem. The gap sat between systems, in the copy and paste work connecting booking, dispatch and customer.

What did we build?

An integration layer where bookings flow into the ERP and dispatch, routing and customer comms trigger automatically. A booking is captured once, validated against the rules the operator already uses, and written to the ERP as the single record for that delivery. The ERP entry then fires every downstream step, with no retyping anywhere in the chain.

Dispatch receives the job the moment the booking lands. Routing works from the same record. Customer comms send from the same trigger, so the confirmation matches exactly what the ERP holds. Where a booking needs judgement, an incomplete address, an unusual load, a clashing slot, the flow pauses at an approval gate and a person signs off before anything moves. The building blocks are ordinary: API calls and webhooks between the booking channel, the ERP and the messaging layer. The value is sequencing, the parts fire in order, every time.

Client identity and specific commercial metrics stay under NDA. What we publish is the shape of the system and the outcomes the client has approved. On a call we walk through live systems, not slides.

How does the system decide what to do?

Rules first, people for the exceptions. Each booking is checked against plain conditions: required fields present, delivery area served, slot available, account in order. A booking that passes every check flows straight through to dispatch, routing and confirmation without a human touch, because a clean booking needs process, not judgement.

A booking that fails a check does not guess. The flow stops, flags the specific problem and routes the case to a person with full context attached. The person corrects or rejects, and the flow resumes from the point of the pause. Nothing disappears silently and nothing sends half done. Escalation paths are agreed with the operator up front, so the right desk sees the right exception. Every automated action is logged against the booking, which means the trail from capture to customer confirmation stays visible and auditable.

What changed for the team?

Bookings flow straight to dispatch, manual errors are fewer, and customer confirms arrive faster. Those are the outcomes the operator has approved for publication, and each one has a mechanical cause rather than a marketing one. Straight through flow exists because the ERP record is created once and reused everywhere downstream.

Fewer manual errors follow from removing the retyping, since a detail captured once cannot be mistyped a second time. Faster customer confirms follow from the trigger, because a confirmation that fires on booking does not wait for a person to find a gap in the day. Quiet periods and peak periods now run through the same steps. The team no longer plays messenger between booking, ERP and dispatch. The team handles the exceptions the system flags and the customers who need an actual conversation, which is the work that needed people in the first place.

How would this look in your business?

The same shape fits any business where a request must travel through more than one system before work starts. Swap delivery bookings for orders, job cards, service requests or installations, and the pattern holds: capture once, validate against the rules already in use, write to the system of record, and let dispatch, scheduling and customer comms trigger from that record.

The starting point is a map of the current hand offs, where a person retypes, forwards or chases. Approval gates go wherever the business wants human judgement kept, and everything runs on accounts the business owns. Tell us where requests stall between systems in the business. That conversation costs nothing and usually takes under an hour. We reply with an honest read on what an integration like this would take, and whether the build is worth doing at all.

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Tell us what runs slow. We build what fixes it.

Send one message describing where bookings, orders or jobs stall between systems. We reply with an honest read on what an integration like this can fix, what it will take, and whether it is worth building at all.