Key Takeaways
- Technology is now a growth requirement for freight forwarders: 67% of forwarders and customs brokers surveyed by Descartes in 2025 saw it as fundamental or highly important to growth.
- The practical 2026 stack starts with workflow control: a cloud TMS, rate management, customs connectivity, customer visibility and clean integrations.
- AI is useful when it removes manual work from quoting, document handling, exception management and shipment updates, not when it sits outside daily operations.
- Smaller forwarders should avoid “big bang” transformation and start with the workflow causing the most re-keying, delay or margin leakage.
- Compliance technology is becoming part of commercial differentiation because customs, duty and audit data now shape customer service as much as freight movement.
The Digital Divide Is Now Commercial
Digital transformation for freight forwarders used to mean replacing spreadsheets with a transport management system. In 2026, the question is sharper: can your operating model handle quotes, documents, customs data, customer updates and exception management without every shipment relying on manual chasing?
The commercial gap is already visible. Descartes’ 2025 Forwarder and Broker Benchmark Study, covering 434 respondents, found that 67% of freight forwarders and customs brokers viewed technology as fundamental or highly important to growth. The same study reported that 55% saw implementing new technologies as the top strategy for growing over competitors, while 25% named manual workflows as the leading inhibitor to growth.
That matters because forwarding margins are being squeezed from several directions at once. Customers want faster quotes, cleaner visibility and fewer email loops. Carriers still send data in inconsistent formats. Customs work has become more data-heavy since the UK’s move to CDS. Tariff changes, geopolitical disruption and pricing pressure all make it harder to run a forwarding desk by memory, inbox and local spreadsheet.
Digital transformation should not be treated as an abstract strategy programme. For a UK forwarder, it is a set of practical operating decisions: which system is the source of truth, how quotes are built, where customs data is captured, how exceptions are escalated, and what the customer sees without asking your team for an update. If those decisions are left to habit, the business becomes harder to scale.
For the wider customs layer, this connects directly with customs clearance processes and the way declarations, supporting documents and transport events move through the same shipment file. Forwarders that integrate those steps well can sell reliability. Forwarders that do not will increasingly sell labour-intensive firefighting.
What a Modern Forwarder Stack Includes
A practical forwarder technology stack has six layers. The exact vendor matters less than whether the layers work together without creating another set of disconnected screens.
Transport management system. The TMS is the operational core. It holds shipment records, routing, milestones, carrier instructions, documents, charges, billing status and customer references. For a multimodal forwarder, it must handle sea, air, road and sometimes project cargo without forcing teams to maintain separate unofficial trackers. Enterprise platforms such as CargoWise and Descartes suit complex networks, while smaller operators may prefer lighter systems that can be configured quickly.
Rate and quote management. Quoting is usually the first workflow worth digitising because it touches revenue, margin and customer response time. A rate tool should store buy rates, surcharges, validity dates, carrier rules and customer mark-ups in one controlled place. If sales staff still build every quote from old emails and copied spreadsheets, speed improves only when individuals work longer hours.
Visibility and milestone control. Shipment visibility is now a baseline customer expectation, not a premium add-on. A forwarder needs milestone capture from carriers, ports, hauliers, warehouses and internal users, then a simple customer-facing view. The goal is not perfect real-time tracking on every lane; it is reducing avoidable “where is my shipment?” traffic and making exceptions obvious early enough to act.
Customs and compliance connectivity. UK forwarders need clean links between shipment data, customs declarations, EORI details, commodity data, duty evidence and supporting documents. For customs-heavy operators, this may mean a dedicated customs platform integrated with the TMS rather than a loose hand-off between departments. The same principle applies when a customer asks for help with EORI registration or import documentation.
Integration layer. EDI and APIs connect the stack to carriers, customers, customs platforms, finance software and warehouse systems. This is where many projects fail. Buying a new platform without budgeting for integration simply moves the bottleneck from one screen to another. The integration layer should be mapped as a business requirement, not treated as a technical detail after contract signature.
Analytics and AI layer. Reporting, workflow analytics and AI tools sit on top of clean operational data. They can highlight margin leakage, quote conversion, late milestones, document delays and exception patterns. But if job files are incomplete or teams bypass the TMS, the analytics layer will only prove that the data is poor.
For warehousing-adjacent operators, the same logic applies to WMS software selection: choose the system around the process, not around a vendor demo.
AI Is Useful When It Removes Re-keying
AI is the most talked-about part of the 2026 stack, but it is not the starting point for every forwarder. Descartes’ 2025 benchmark reported that 65% of respondents expected AI to deliver the greatest technology value over the next two years, and 55% planned to prioritise AI investment in that period. Those figures show intent, but they do not change the implementation rule: AI works best when it is attached to a specific workflow.
The most useful applications are practical. Document extraction can read commercial invoices, packing lists, bills of lading and arrival notices, then populate shipment or customs fields for review. Quote automation can suggest lane options, carrier choices and margin bands from approved rates. Exception detection can flag shipments where milestones, documentation or customs data are outside the expected pattern. Customer update tools can draft status messages from verified shipment events rather than asking an operator to rewrite the same email 30 times.
AI should not be used to hide process weakness. If a forwarder has three conflicting shipment references, no standard document checklist and no clear owner for milestone updates, an AI layer will amplify confusion. The better sequence is to standardise the workflow first, then automate the repetitive parts.
There is also a governance issue. Forwarders handle commercially sensitive data: customer names, supplier records, commodity details, values, routes and billing information. Any AI tool must be reviewed for data retention, hosting location, user permissions and audit trail. Staff should know which data can be uploaded, which outputs require human approval and which decisions must remain accountable to a named operator.
The practical test is simple: does the tool reduce manual handling in the job file, or does it create another place to copy and paste from? If it does the latter, it is not transformation. It is just a more expensive tab in the browser.
Compliance Technology Is Becoming a Sales Advantage
Compliance is no longer a back-office afterthought. For importers, errors in customs data can cause delays, duty exposure, penalties and awkward audit conversations. For forwarders, that means compliance capability increasingly affects customer retention.
The 2025 Descartes benchmark found that regulatory compliance systems gained in perceived value, with 30% of respondents citing them, while rate management systems also rose to 20%. The same study identified tariff changes as a major challenge for 42% of respondents. That fits the UK operating reality: customers expect forwarders to understand customs clearance, landed cost, document readiness and declaration hand-offs, even where the legal responsibility sits elsewhere.
A strong compliance technology layer should support three things. First, it should capture the right data once, as early as possible in the shipment lifecycle. Second, it should hold evidence: invoices, packing lists, licences, certificates, origin statements, preference claims and customer approvals. Third, it should create a defensible audit trail showing who entered or changed key data and when.
This does not mean every forwarder needs to become a full customs broker. It does mean the operational file should be structured enough to work with a broker, customs platform or in-house declarant without repeated email archaeology. If your forwarding team spends half a day reconstructing why a declaration was delayed, the system is not doing its job.
Compliance also affects product positioning. Forwarders that can offer bonded warehousing support, duty planning, landed-cost modelling or reliable customs documentation reviews can compete on more than headline freight rates. That is especially relevant for customers comparing a forwarder with a broader 3PL provider or deciding whether to outsource more of their import operation.
The key is to avoid promising expertise the technology cannot support. A customer portal showing shipment status is useful. A portal that also shows missing customs documents, pending approvals and declared values can become a genuine service differentiator.
Where Smaller Forwarders Should Start
Small and mid-sized forwarders do not need to copy enterprise transformation programmes. In fact, they usually should not. Descartes reported a marked gap between company sizes: 60% of large companies viewed technology as fundamental to growth, compared with 27% of small companies. The capital constraint is real, but the answer is disciplined sequencing rather than delay.
Start by mapping the jobs your team touches every day. Pick 20 recent shipments across your main modes and write down each point where data was re-entered, a status was manually chased, a quote was rebuilt, a document was missing or a customer asked for an update that should have been visible. Patterns will appear quickly.
The first investment should usually be the workflow with the strongest commercial payback. For many forwarders, that is quoting. Faster, more consistent quoting improves conversion, protects margin and reduces dependence on individual staff memory. For others, the pain is document control, customs hand-off or shipment visibility. The right first step is the one that removes the biggest repeated delay.
Then choose a system tier that matches the next two years, not an imagined future network. A lightweight cloud platform can be enough for a single-office forwarder if it handles job files, rates, documents, invoicing and customer updates cleanly. Enterprise software may be right for a multi-country, multimodal network, but it can overwhelm a smaller team if implementation resources are thin.
Budget for implementation, not just licences. Data migration, user setup, carrier connections, customer portal configuration, finance integration and staff training all take time. A low monthly subscription can become expensive if it requires manual workarounds every day. Conversely, a more expensive system can pay back quickly if it removes re-keying, reduces missed charges and cuts status-update traffic.
One practical rule is to avoid customisation during the first phase unless it protects a genuine competitive advantage. Configure standard workflows, use the system as designed, and measure adoption. Custom development should follow evidence, not preference.
The 2026 Implementation Roadmap
A sensible forwarder digital transformation roadmap runs in phases. It does not start with a vendor shortlist. It starts with operational clarity.
Phase one: define the source of truth. Decide where shipment records live and which fields must be complete before a job progresses. This includes customer reference, mode, route, carrier, incoterm, collection and delivery details, cargo description, document checklist, cost lines, sell lines and milestone expectations. Without this discipline, every integration becomes fragile.
Phase two: clean quoting and rates. Build controlled rate tables with validity dates, surcharge logic, customer mark-ups and approval rules. Track quote conversion and margin outcome. Descartes found that tailored services overtook high service as the top competitive advantage, at 33% against 31%, which means forwarders need data to price specific customer requirements properly rather than sending generic offers.
Phase three: connect visibility. Bring carrier, port, haulier and internal milestones into the job record, then expose appropriate updates to customers. Start with the lanes and customers that generate the most manual update requests. Visibility does not have to be perfect to be valuable; it has to be consistent enough that customers trust it.
Phase four: integrate customs and finance. Link operational records to customs and billing workflows. This reduces missed charges, duplicate data entry and declaration hand-off errors. It also helps management see profitability by lane, customer, service type and exception category.
Phase five: apply automation and AI. Once the workflow is stable, apply document extraction, exception alerts, automated customer updates and analytics. This is where AI starts to earn its place because the system finally has structured data to work from.
Measure each phase with operational numbers: quote turnaround time, quote conversion, jobs per operator, manual status emails, missed cost lines, invoice disputes, customs document defects, and late milestone updates. Technology adoption should show up in these measures. If it does not, the project is probably optimising appearances rather than operations.
Frequently Asked Questions
What is the best first digital transformation project for a freight forwarder?
For most freight forwarders, the best first project is quoting and rate management. It directly affects revenue, margin and customer response time, and it exposes whether your underlying data is usable. If quoting is already controlled, the next best starting point is usually document control or shipment visibility, depending on where your team loses the most time.
Does every freight forwarder need AI in 2026?
No. Every forwarder needs clean workflows and usable shipment data, but AI should be added where it removes repetitive work. Document extraction, exception alerts and automated customer updates are practical use cases. A forwarder with poor data discipline should fix the operating process before spending heavily on AI.
How should a smaller forwarder choose between lightweight and enterprise systems?
Choose around complexity, not ego. A single-office forwarder with straightforward sea and air workflows may be better served by a lighter cloud platform that staff can adopt quickly. Enterprise systems make sense when you have multiple entities, complex multimodal flows, high integration needs, customs-heavy operations or a network that requires standardised controls across teams.
How do you measure whether digital transformation is working?
Track operational measures before and after implementation. Useful metrics include quote turnaround time, quote conversion, jobs per operator, manual status emails, late milestones, missed charges, invoice disputes, customs document defects and customer service tickets. If the system does not improve at least some of these, it may be digitising the old process rather than improving it.
Should customer portals be part of the first phase?
Customer portals are valuable when the underlying data is reliable. If milestone updates, documents and shipment references are inconsistent inside the business, a portal will expose the problem rather than solve it. Build the internal source of truth first, then give customers controlled access to the information they ask for most often.