GENERATIVE AI FOR OPERATIONS
Warehouses and logistics run on delivery notes, invoices, emails and checklists. We build AI agents that read, check and file them, so your team spends its time on the floor, not in the inbox.
Delivery notes, proof-of-delivery scans, carrier invoices, customs papers, damage reports, shift handovers. Most of it is typed, checked and filed by hand, and every manual step costs time and invites errors. AI agents can take on most of this work today: they read the document, check it against your systems and only hand a person the cases that need a decision.
Inbound paperwork
Delivery notes, packing lists and proof-of-delivery scans are read, matched against the purchase order and booked in your WMS. Deviations go to a person.
Freight invoice checks
Carrier invoices are checked against agreed rates, weights and delivered volumes before anyone approves a payment.
Customs and compliance papers
Commercial invoices, certificates and dangerous goods declarations are pre-filled and checked for gaps before a shipment leaves.
Claims and incident reports
Damage photos, emails and shift notes become complete claims and incident records, ready for review instead of rewritten by hand.
Inbound paperwork
Delivery notes, packing lists and proof-of-delivery scans are read, matched against the purchase order and booked in your WMS. Deviations go to a person.
Freight invoice checks
Carrier invoices are checked against agreed rates, weights and delivered volumes before anyone approves a payment.
Customs and compliance papers
Commercial invoices, certificates and dangerous goods declarations are pre-filled and checked for gaps before a shipment leaves.
Claims and incident reports
Damage photos, emails and shift notes become complete claims and incident records, ready for review instead of rewritten by hand.
STEP 1
Agents read delivery notes, invoices, emails, PDFs and scans in whatever format your partners send, and pull out the data that matters.
STEP 2
Each document is compared with orders, rates, stock and contracts in your WMS, ERP or TMS, so mismatches are caught before they cost money.
STEP 3
Clean cases are booked, filed or answered automatically, strictly within the rules you set.
STEP 4
Anything unclear goes to a person with the reason and the documents attached. Your team decides, and every decision is logged.
Every step logged
People approve exceptions
Connects to your WMS, ERP and TMS
EU-hosted models or on site
Starts with one workflow
Process walk
We sit with your operations and back-office teams and map where documents, emails and manual checks pile up.
Pick one workflow
We choose the workflow with the most volume and the clearest rules, and agree how success is measured.
Build on real cases
The agent is built and tested on your real documents, side by side with the people who do the work today.
Run and extend
We connect it to your systems, run it with your team and move on to the next workflow.
Process walk
We sit with your operations and back-office teams and map where documents, emails and manual checks pile up.
Pick one workflow
We choose the workflow with the most volume and the clearest rules, and agree how success is measured.
Build on real cases
The agent is built and tested on your real documents, side by side with the people who do the work today.
Run and extend
We connect it to your systems, run it with your team and move on to the next workflow.
For
Operations, logistics and finance teams in warehousing, logistics and commerce
Pilot
One workflow, a few weeks to the first agent in daily use
Team
AI engineer, product lead and DevOps from HUBBLR
Runs on
EU-hosted models, in your cloud or on site
You keep
The agents, the integrations and the documentation
Anything repetitive with clear rules: delivery notes, invoices, customs papers, order confirmations, emails from carriers and suppliers. We start where the volume is highest.
It hands the case to a person with the reason and the relevant documents. Nothing is booked or sent unless it passes the checks you define.
Yes. We build the integrations to the systems your teams already use, so results land where the work happens instead of in another tool.
We use models hosted in the EU or run them on your own infrastructure, and agree with you up front which data an agent may see.
