How can AI help teams that use CargoWise?
AI can help CargoWise users turn emails, PDFs and partner replies into validated operational data and completed workflow steps. Useful candidates include booking intake, document processing and shipment milestone updates. The goal is not to replace the TMS: it is to reduce the work people do between receiving information and recording a correct result.
For an enterprise forwarder, that work may span a shared inbox, a documentation team, an overseas office and the CargoWise administrator. A tool that extracts a shipment reference solves only part of the problem if somebody still has to find the job, resolve conflicting instructions and check that the update succeeded.
Shipflow connects AI workflows with CargoWise through eAdaptor, reading existing operational data as well as writing updates back. The value is in combining that context with incoming communications and your SOPs to complete the work around the TMS.
Why reading CargoWise data matters as much as writing it
Automated data entry is only half the connection. An incoming PDF may revise an existing shipment rather than create a new one. A customer may ask about a status already recorded in CargoWise. Reading the relevant operational data gives the AI Operator context before it decides what to do next.
Shipflow uses eAdaptor for the data exchange in both directions. The workflow reads the relevant records, compares them with the request, resolves differences under your SOP and returns the validated result. Some tasks need only a read—for example, gathering shipment context to prepare a customer response. A read does not automatically trigger a write.
| Direction | Purpose in the workflow |
|---|---|
| Read from CargoWise | Retrieve the existing operational context, match the correct job and compare current values with incoming information. |
| Write back to CargoWise | Create or update the target record after validation and any required approval, then check that the expected result was recorded. |
Start with the automation CargoWise already provides
CargoWise describes a Document Management Portal for trade-document data capture and mapping, an Invoice Processing Portal for accounts payable, and integration tools including eAdaptor Next and Connector. Review those capabilities with your administrator before adding another platform.
The buying question is not “Does CargoWise have AI?” It is “Which parts of our specific process are still manual after we use the capabilities available in our environment?” An additional execution layer should address a demonstrated gap rather than duplicate a working process.
| What you observe | What to investigate first |
|---|---|
| A native feature already completes the workflow well | Use it. An extra AI layer needs a clear incremental benefit. |
| A stable, structured feed needs consistent field mapping | Assess an integration or mapping solution before introducing AI reasoning. |
| Staff interpret varied messages, chase missing details and coordinate decisions | Evaluate an AI workflow that handles those handoffs and returns the result to the TMS. |
| Teams disagree about which action is correct | Resolve the SOP and ownership first. Software cannot settle an undefined operating policy. |
Four workflows worth evaluating
Choose a recurring workload with accessible inputs and a clear finish line. For each workflow, identify the CargoWise context to read and the result to return.
| Workflow | Work to automate | Define completion as… |
|---|---|---|
| Booking intake | Read the request, collect missing details, match the customer and prepare the job information. | The agreed job record is created or ready for approval. Carrier acceptance is a separate outcome. |
| Document processing and data entry | Extract shipment fields from SI, MBL, HBL, commercial invoices and packing lists; reconcile revisions and discrepancies. | Validated fields are recorded in the correct job, or a discrepancy reaches its owner with supporting documents. |
| Shipment milestone updates | Follow up on missing statuses, interpret partner replies and match updates to the shipment. | The agreed milestone is recorded with its source and timestamp, or an unresolved status is escalated. |
| Invoice handling | Match the invoice to shipment context and expected charges, then prepare the next finance step. | A matched record or decision-ready discrepancy is delivered. Posting and payment release are separate permissions. |
Example: a revised shipping instruction becomes a checked job update
Consider an export documentation team receiving a revised shipping instruction by email. The attachment changes the package count, while the existing job still contains the earlier value. The following illustrative workflow shows why the AI Operator needs both read and write access; it is not a reported customer result.
- 01
Read the message and identify the revision
Associate the email and PDF with the existing request. Extract the reference, shipment details and changed fields; retain the source document.
- 02
Read and match the CargoWise job
Read the existing job data through eAdaptor and match it using the shipment identifiers. If several jobs could match, send the ambiguity to the documentation team instead of choosing one.
- 03
Resolve the difference
Compare the revised package count with the current record and applicable source-priority rule. Show the old value, proposed value and evidence to a reviewer when approval is needed.
- 04
Write the validated change through eAdaptor
Map the accepted change to the target CargoWise field. Leave unrelated information unchanged and obtain a new approval if a later revision changes what was approved.
- 05
Confirm the result
Use the agreed acknowledgment or record check to confirm success. If the submission times out, reconcile its state before retrying. Keep unresolved work visible to its owner.
What should your CargoWise integration assessment cover?
Bring operations and your CargoWise system owner into the same scoping discussion. Ask for a demonstrated path from source input to confirmed result, including what happens when the connection fails.
- Connection setup: confirm the eAdaptor version, message formats, authentication, modules and integration arrangements with your administrator. Include provisioning, licensing and existing middleware where relevant.
- Records and mapping: name the required objects, fields and identifiers. Decide which source wins when values conflict, and how revisions and duplicate messages are recognized.
- Action boundaries: separate reading, creating, updating and external submission. Give the workflow only the access it needs and name the decisions requiring approval.
- Completion and recovery: agree how success is confirmed, how rejected or uncertain writes are reconciled, and who resumes the work manually.
- Data handling: review the information exchanged, access logging, retention, deletion and security requirements before using live customer records.
Measure the work saved—not just AI activity
Baseline the same workflow before and after deployment. Keep office, request type, complexity and completion definition comparable. Do not present results from an included subset as automation of the entire operation.
For a simple illustrative estimate, 1,000 comparable requests with four fewer active handling minutes each represent about 67 staff hours of capacity per month. That is not automatically cash savings: subtract additional operating costs and consider whether the capacity is redeployed, supports growth or reduces overtime.
| Measure | How to record it |
|---|---|
| Coverage | Eligible requests divided by all incoming requests, with the exclusion reasons recorded. |
| Touchless completion | Correctly completed eligible requests with no human intervention divided by all eligible requests. Retain failed and escalated cases in the denominator. |
| Human handling time | Active staff minutes per comparable request, including review, follow-up and correction. |
| Cycle time | Elapsed time from receipt to the agreed confirmed outcome. Track waiting time separately from active processing. |
| Quality and recovery | Corrections, duplicate records, rejected updates and unresolved cases over a stated review window. |
Start with one office and one repeatable workflow
A useful first scope might be revised shipping-instruction handling for one export team, not “automate CargoWise.” Gather representative examples, including missing references, conflicting documents and repeat submissions. Agree what a correct result looks like before testing.
Begin with proposed actions and human review. Move to live execution only after the team has tested record matching, approved writes and failure recovery. Expand to more offices or workflows after reviewing actual outcomes, not simply because a clean demonstration succeeded.
If you are evaluating Shipflow, bring a small set of safely shared sample requests, the relevant SOP and your CargoWise administrator. We can map where native capabilities already cover the work and which remaining handoffs are worth evaluating for AI execution.
Questions about AI for CargoWise
Does CargoWise already offer automation?+
Yes. CargoWise describes document, invoice and integration capabilities in its product materials. Check what is available and effective in your environment before buying an additional tool. An AI workflow layer should solve a remaining operational gap.
Can Shipflow read CargoWise data as well as enter data from emails and PDFs?+
Yes. Shipflow uses eAdaptor to read existing CargoWise data and write validated updates back. AI Operators combine that context with emails and documents to match records, check differences and complete workflows. The deployment defines the records, fields and actions each operator can access.
Do we need to replace CargoWise to use Shipflow?+
No. Shipflow’s approach keeps CargoWise as the system of record and adds AI execution around selected workflows. The team agrees which steps the AI Operator handles and where people retain review or decision authority.
What is a good first CargoWise AI workflow?+
Choose a frequent, repeatable process with accessible inputs, clear record identifiers and a measurable finish line. Booking intake or document-to-job updates can be candidates. Start with a limited team or request type and include exceptions in the test.