Custom AI engineering
AI integration for logistics and air cargo.
A shipment moves through several teams before it becomes a paid invoice. NovAIFlow designs AI and software integrations that connect those handoffs, so operations can work from shared shipment information and act on exceptions.
Discuss your projectFor businesses in Florida and across the US · English & Spanish
Where this can help your operation
Shipment information lives in separate tools
Booking teams, warehouse staff and billing may each maintain a different record. We map the shipment identifiers and events needed to connect them, keeping ownership of each record explicit.
Documents delay the next step
AI can extract relevant fields from booking requests and supporting documents, compare them with shipment records and send incomplete or conflicting information to a person for review.
Status updates depend on manual follow-up
Connect operational events to internal views and customer communications. Teams can see what changed, what is still missing and who owns the next action.
Connected to your existing systems
The starting point is your existing booking, warehouse, transport and billing software. We assess APIs, events, databases and file exchanges before choosing how to integrate them. Existing business rules and customer commitments shape the workflow.
A practical starting point
Start with one shipment flow: booking received, cargo processed, delivery recorded and invoice prepared. Define the information required at each step, test representative shipments and exception paths, then extend the integration to other lanes or teams.
Measures to agree before implementation
- Time spent re-entering shipment information
- Shipments waiting for missing documents
- Time between delivery confirmation and invoice preparation
Questions before starting
Can you integrate the logistics software we already use?
We first review its available interfaces and data access. The implementation may use APIs, database access, events or controlled file exchanges. That assessment determines what can be connected reliably.
Can AI handle every document automatically?
We define which document types and fields are in scope, evaluate them on representative samples and route low-confidence or inconsistent results for review.
What should we bring to the first conversation?
A description of one shipment journey, the systems involved and an example of a delay or repeated manual task. Redacted document samples can help in a later scoping step.
Explore related capabilities and sectors
Let's talk
Tell us what needs to work better.
We start with the business challenge, then define the right combination of AI, integration and software. Your first message can include:
- The process you want to improve and the team responsible.
- The systems involved and the most frequent delay or exception.
- The outcome you need and any timing constraints.