Read the request
Extract pickup, delivery, customer, cargo, timing, reference, and missing information from the approved channel.
Logistics / movement, documents, and exceptions
Logistics operations do not fail in the normal case. They fail in the exception.
We build workflows that read requests and documents, prepare dispatch or delivery records, classify exceptions, and give operators a current queue. Routing, safety, customer commitments, and financial actions remain with the responsible team.
Intake queueDocument fieldsException routingOperator approval
Pattern demonstration / logistics systems vary
Where the logistics queue grows
The shipment is moving. The information is not.
Requests, manifests, delivery notes, photos, invoices, and status messages need to become a trustworthy operational record.
Prepare the record
Organize proof of delivery, documents, images, exceptions, and timestamps for an operator or customer-service owner.
Escalate what changed
Flag delays, missing documents, inconsistent details, or unusual requests instead of letting them disappear in a queue.
Do not automate the blind spot
The workflow should make exceptions louder.
Keep the original evidence
Messages, files, photos, timestamps, and operator corrections should remain connected to the prepared record.
Use defined lanes
Define what goes to dispatch, customer support, finance, a carrier, or a manager before the system classifies it.
Approve the commitment
Routing, customer promises, refunds, and system writes need a human owner and an explicit action scope.
A first logistics workflow
Start with one exception-rich queue.
Choose the operational input
Name the inbox, form, delivery document, photo stream, or system export where the work begins.
Define fields and exceptions
Agree what a complete item looks like, which changes matter, and who receives each exception.
Test real documents
Include incomplete, duplicate, damaged, delayed, and inconsistent examples in the review set.
Add one approved handoff
Send a draft record, ticket, or notification to the chosen system after the operator trusts the queue.
Good logistics automation does not hide the exception. It gets the exception to the person who can move it.
Why trust Pristine3D?
We build and operate production software.
Pristine3D Ltd builds and operates live digital products, and we run private AI workflows internally as part of our own operations. We scope around your real workflow: the documents you own, the questions your team asks, and the access boundary you approve. Based in Lagos, Nigeria, we work remotely with clients worldwide.
We already run live products
Based in Lagos, Nigeria, Pristine3D currently builds and operates smartcards.ng, venu.ng, photoshoot.ng, and ugc.ng in production.
We start with the actual workflow
One input, one output, one test set, and one person who owns the result. We scope a real workflow instead of a transformation programme.
The boundary stays visible
Cloud, model, storage, and messaging accounts stay in your name. The chosen data path, access rules, test record, documentation, and training are part of the agreed scope.
Pricing / fixed scope
Know the starting numbers before you ask.
The final quote follows the workflow. Infrastructure and model bills stay on your accounts.
One Workflow
Starting from$3,500 / ₦2.5m
2 to 3 weeksOne workflow for a small team, with training and handover.
See the one-workflow packageFirm-wide
Starting from$7,500 / ₦8m
4 to 6 weeksMultiple sources, roles, integrations, and admin handover.
See the deploymentAnnual support
Starting from$3,000 / ₦1.5m
per yearStandard care for one delivered workflow. Optional. Larger deployments and active monitoring are separately scoped.
See supportArchitecture review from $500. Standard annual support is $3,000 / ₦1.5m per year for one delivered workflow. New workflows, integrations, active monitoring, and infrastructure are separately scoped; infrastructure, model, storage, and messaging bills stay on client accounts. Full pricing and what changes the quote
Straight answers
Common questions.
Can it route deliveries automatically?
It can prepare and classify the information. Route changes, customer commitments, safety decisions, and system actions need explicit scope and human approval.
Can it read delivery photos?
Vision or OCR can be scoped for defined document and image types, with tests for the client's actual conditions.
What is a good first project?
One intake, proof-of-delivery, exception, or recurring reporting queue with a known operator and measurable output.
Own your knowledge base
The model is not the product. The knowledge base is.
Documents, the retrieval index, access rules, and the workflows built around them are the asset, and they compound. We deploy so the knowledge base stays yours: on your accounts, in the environment you choose, under access rules your team defines. The model behind the answers is a connector, so the knowledge base moves with you, not with a vendor.
Your corpus, your index
The document store, metadata, and retrieval setup live on accounts you own. No vendor holds the corpus.
Models are swappable parts
Change the model provider, move regions, or go local without rebuilding the knowledge base or the workflow.
The knowledge base is the alpha
Every improvement to the corpus improves the answers, and the improvement stays with you, not with a vendor.
Keep exploring
Related setups.
Start with the exception
Which logistics queue keeps breaking?
Tell us what arrives, what the operator needs to know, and where a complete or uncertain item should go.