Case studies — Smarterapps Ai
Transport AI automation
How an Australian freight operator can give drivers one app, give planners a cleaner dispatch queue, and let customers see where a job actually is — without another layer of phone calls.
The situation
What was getting in the way.
An Australian freight operator ran dispatch from a transport system, a spreadsheet and a string of calls. Drivers photographed paperwork on personal cameras. Customers asked where a job was, and the answer lived with whoever had last spoken to the driver.
Planners were spending the day re-keying proof of delivery and explaining exceptions the system already knew about. The business wanted the driver workflow and the customer update to come from the same job, not from memory.
This anonymised use case is a composite of the transport and logistics work Smarterapps Ai designs. It is not a named client and it does not claim a measured saving.
Read the matching industry page on Transport and logistics AI, or talk to us via contact or chat.
What we would build
The app, the assistant and the automation.
Each part is scoped so a person keeps the decision that matters. This is the shape of the engagement, not a claim that every module ships on day one.
01 — Drivers
Driver app
Jobs, site notes, photos and proof of delivery in one app that stores capture through patchy coverage and syncs when the signal returns.
02 — Planning
Dispatch assistant
A planner-facing assistant that proposes job order from the rules the depot already uses — windows, vehicle type, driver hours — and leaves the final board to a person.
03 — Proof
Document capture
Consignments, photos and signatures read into the job, with poor images flagged instead of silently filed.
04 — Exceptions
Exception alerts
Late arrivals, refused freight and missing paperwork raise a task for the planner with the job, the customer and the last known status attached.
05 — Customers
Tracking updates
Status messages drawn from real job events, not a separate inbox someone has to remember to update.
06 — Systems
Transport system integration
Reads and writes the transport or warehouse system you already run, so the app is not a second source of truth.
How it runs
From the first request to the system of record.
The automation prepares work. It does not take the action your organisation reserves for a person.
Step 01
The board is proposed, not replaced
The assistant drafts a run from your rules. A planner accepts or moves jobs. Drivers receive the confirmed run.
Step 02
The driver works from the job
Arrive, capture, sign, note an exception. Offline capture queues until the device reconnects.
Step 03
Exceptions find an owner
A refused delivery or a missing document opens a task while the customer-facing status stays honest about what is known.
Step 04
Paperwork lands on the job
Proof and photos attach to the consignment in the transport system, ready for invoicing without an evening of retyping.
Outcomes
What this pattern is built to change.
One job record. Drivers, planners and customers read the same status instead of three versions of the story.
Planners on exceptions. The board is prepared for them. Their time goes to the jobs that break the pattern.
Proof that can be invoiced. Documents are captured against the consignment while the driver is still on site.
Customers told from events. Updates follow what the job did, which cuts the just-checking calls that bury the depot.
Controls
What the automation is not allowed to do.
Location is collected for active jobs and retained on the schedule the operator sets. Driver hours and safety rules stay with the people and systems that already own them. The assistant recommends a plan. It does not dispatch over a planner.
Smarterapps Ai builds the software and the operating guardrails with you. We do not invent a compliance position for your sector. The person you already hold accountable — clinician, adviser, officer, supervisor — still makes that decision.
This page is an anonymised composite use case. It uses a realistic Australian scenario. It is not a published result for a named organisation.
Keep going
Industry page, services and chat.
The industry page covers how we build. This page covers one operating pattern.
Related: Services · AI developers · Workflow automation · AI agents · Document AI · AI customer chat · Contact · All case studies →
You can also open the chat on this page and describe the workflow. A person follows up from there.
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FAQs
Questions we expect on the first call.
Does this replace our transport system?
No. The app and assistant sit on top of the system you already use and write status back to it.
Will the driver app work in low coverage?
Capture is designed to queue on the device and sync when the network returns. Live tracking follows whatever signal the job has.
Can customers see live location?
Only to the level you choose — milestone updates, or tighter tracking on an active delivery. That is a policy decision, not a default.
Where do we start?
One depot, one job type, and the spreadsheet that currently sits beside the transport system. Contact or chat, and we will map that slice.
Start with one workflow
Give the depot one version of the job.
Bring us the spreadsheet beside your transport system. We will show where a driver app and exception automation remove the retyping. Or open the chat on this page.