FreightSpark is advancing the digitalisation of air cargo operations with ONE, an AI-native cargo management system designed to connect sales, quoting, shipment operations, trucking and finance within a single workflow.
The platform is aimed primarily at general sales and service agents (GSSAs) and air-cargo brokers, with the objective of reducing repetitive administrative work and keeping shipment information connected from the initial request through to invoicing.
FreightSpark says ONE is already being used by cargo teams in several countries. Its platform brings together mail and RFQs, quotes and margin management, shipments and operations, truck planning, and finance and invoicing.
Connecting the cargo workflow
A recurring challenge for smaller cargo teams is the need to enter the same shipment information multiple times as a transaction moves from sales to operations and eventually finance.
An RFQ may arrive by email, pricing can be prepared in a separate system, operational teams may recreate the information for a shipment, and finance can subsequently need to reconstruct the same details when preparing the invoice.
FreightSpark ONE is designed around a different approach: keeping the customer, cargo, route, pricing and charges connected throughout the process.
The platform is organised around five core areas: Mail & RFQ, Quotes & Margin, Shipments & Operations, Truck Planning, and Finance & Invoicing.
A successful quote can be converted into a shipment without re-entering the customer, cargo, route or charges. Operational information can then remain linked to the shipment as the cargo progresses through its journey.
The same information is subsequently available to finance for invoicing, reducing the need to rebuild shipment records at the end of the process.
AI moves into day-to-day cargo operations
The distinguishing feature of ONE is the integration of AI directly into the cargo workflow rather than treating AI as a separate application.
The system can read incoming cargo emails and documents and extract relevant information for review. FreightSpark says its AI capabilities cover RFQ intake, quote preparation, Master Air Waybill processing and incoming supplier invoices.
For an incoming RFQ, for example, ONE can extract the route, cargo details, dates and customer information. The structured information can then be used to support the quoting process.
For GSSAs, the platform can check matching airline and capacity rate agreements. For air-cargo brokers, it can use the RFQ to prepare supplier pricing requests and identify relevant suppliers.
The approach is designed to reduce the amount of manual preparation required while leaving the final commercial and operational decisions with the cargo team.
From RFQ to invoice
FreightSpark’s broader proposition is based on maintaining a continuous flow of information across the cargo transaction.
Once an offer is accepted, the shipment can be created directly from the quote. Documents can remain linked to the shipment, while operational teams can manage flights, trucks, routes, costs and revenue within the same environment.
Truck planning is also incorporated into the platform, allowing teams to organise pickups, deliveries, customs stops and road-feeder-service movements alongside the airfreight shipment.
At the finance stage, the platform supports invoicing policies, review steps, credit notes, payment reminders and Peppol e-invoicing.
The underlying principle is straightforward: information entered at the beginning of a shipment should remain available throughout the entire cargo process.
Keeping people in control
FreightSpark’s approach to AI is focused on preparation rather than removing human oversight.
The company’s platform allows users to see the original email or document alongside the information extracted by AI. Cargo professionals can review the proposed data before it becomes part of the operational workflow.
This is particularly relevant in air cargo, where errors in routing, cargo information, rates, documentation or costs can have commercial and operational consequences.
The system therefore positions AI as an assistant within the workflow, while the cargo team retains responsibility for checking information and making decisions.
Growing customer base
FreightSpark says ONE is already being used by cargo organisations including Simple Cargo, Air Trade Support, SKYCE and Avia Prima.
The company describes itself as an independent software business focused specifically on the operational work connecting an RFQ with the final invoice.
Its development strategy is based on working with cargo teams to understand how RFQs, pricing, shipments, road transport and invoicing are handled and then introducing the platform around those workflows.
Digitalisation shifts towards connected operations
The development of ONE reflects a broader evolution in cargo technology.
For years, digitalisation in air cargo has often involved adding individual tools for specific functions such as quoting, shipment management, email, trucking or finance. The challenge is that information can become fragmented between those systems.
FreightSpark is taking a more integrated approach by placing the shipment at the centre of the workflow and using AI to reduce repetitive preparation around it.
For GSSAs and brokers operating with relatively lean teams, the potential benefit is not simply automation but continuity of information—from the customer’s initial request, through pricing and execution, to the final invoice.
As AI becomes increasingly embedded in freight operations, the ability to combine automation with transparency and human review is likely to become an important consideration for cargo technology users.
FreightSpark ONE represents one example of that emerging model: an AI-enabled cargo management environment designed not to replace the cargo professional, but to reduce the repetitive work surrounding the decisions that still require human expertise.
