
Practical AI for Logistics Operations
From any unstructured booking data to structured ERP bookings.
Booking emails and their attachments go in. Validated booking data your ERP can post comes out, approved by your team before it moves.
- Human-in-the-loop
- Tamper-evident audit trail
- GDPR-native, multi-tenant

The reality in operations
Why does booking entry in logistics take so much time?
EDI, email, PDFs and scans arrive daily in every format, and a large share of operations time goes into reading them and re-keying the data by hand.
EDI, emails, PDFs and scans arrive faster than anyone can read them.
Re-keying and compliance checks cap what the team can process at peak.
Mis-declared cargo and typos turn into delays, disputes and claims.
Several tools, formats and standards, no single workflow across them.
Decisions live in mail threads, so tracing what happened takes hours.
More volume means more headcount for the same manual work.
The Ailomera platform
How does booking automation with AILOMERA work?
Ailomera brings ingestion, AI processing, validation, human review and system integration into one auditable workflow. Booking automation is a typical use case.
From any carrier or forwarder · messaging apps to follow
Clean documents pass straight through. Only these reach a person.
Every value carries the passage it came from, so the operator checks the source, not the model. Nothing reaches your ERP unreviewed.
Delivered via API and standard EDI, so there is nothing to replace and no lock-in.
- Received
- Extracted
- Validated
- Reviewed
- Sent to ERP
Every access, validation and correction is recorded.
Where AI makes the difference
What can freight forwarders automate with AI today?
AILOMERA automates three things today: processing booking documents, validation and compliance, and operations control by your operators. All three are live in production.
Document automation Live
Reads inbound booking requests, whatever shape they arrive in, and extracts every field.
- Email body and PDF attachments, from Microsoft 365, Gmail or IMAP
- Any carrier or forwarder layout, no fixed template to maintain
- Understands amendments and cancellations, not just new bookings
- Cross-checks its own output before hand-off
Validation & compliance Live
Runs the checks that matter in freight, so problems surface at intake instead of at the terminal.
- Dangerous goods: UN number, IMDG class, packing group
- Declaration completeness: UN number, proper shipping name, emergency contact
- Lookups against UN/LOCODE, HS codes, addresses and business partners
- Standards validation (EDIFACT, DCSA)
Operations control Live
One operator view with your team in control. The AI proposes, people decide.
- Review, correct or redirect before anything reaches the ERP
- Every field shows where it came from
- Tamper-evident record of what changed and why
- Structured output into your TMS or ERP via API and standard EDI
Available now, and where we are heading
What is on the AILOMERA roadmap?
Live today: booking automation, document intelligence, and compliance and approvals. In development: quoting and pricing. Planned: messaging-app intake, intelligent routing and cargo tracking.
Available now
Live in production
- Booking automationInbound request to validated, ERP-ready data
- Document intelligenceWork orders, transport orders, B/Ls, certificates
- Compliance & approvalsDangerous-goods checks and operator approval
Next
In build
- Quoting & pricingRate response with margin rules and risk flags
Later
Planned
- Messaging-app intakeWhatsApp and comparable channels
- Intelligent routingCost, transit time and operational constraints
- Intelligent multi-source cargo tracking and predictionCarrier, terminal and telemetry signals combined into one ETA you can act on
Value for your business
How much time does AILOMERA save on booking entry?
With AILOMERA, validated booking data is ready for approval in under 2 minutes after it arrives, at night and at weekends too. Your team handles only the exceptions.
How much runs straight through depends on your document quality and the confidence threshold you configure. The pilot measures it on your own data before you commit to anything.


Prove it on your own data
How can I test AI booking automation on my own data?
In a three-month pilot phase, we adapt Ailomera to your own booking documents. You see the real extraction quality on your own data before Ailomera goes into everyday operation.
- 01You send documentsA mailbox or a folder of booking documents you already have. No integration first.
- 02We run the live engineThe same engine that runs in production today, not a demo dataset.
- 03You see the numbersExtraction quality measured on your own data, in the operator cockpit.
Frequently asked