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Sync Salesforce data with live shipments.

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Align sales activity with operational shipment data.

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Connect Zoho deals with CargoWise operations.

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Unify CRM and logistics on one workflow.

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ICEGATE Integration

Accelerate ICEGATE integration delivery for efficiency, connecting CargoWise to India's national customs gateway for automated declaration filing.

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Optimize AMS integration delivery at scale, automating advance cargo manifest submissions into the US Automated Manifest System.

AES Integration

Accelerate AES integration delivery for efficiency, automating US export declaration filing through the Automated Export System.

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Automate UAE pre-loading manifest filing, connecting CargoWise to MPCI for mandatory cargo information submission before loading.

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TradeNet Integration

Streamline Singapore customs filing, connecting CargoWise to TradeNet's single window for permits, duties, and Certificate of Origin declarations.

ASYCUDA Integration

Accelerate ASYCUDA integration delivery for efficiency, linking CargoWise to the customs automation system used widely across Africa.

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SISCOMEX Integration

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Optimize VUCEM integration delivery at scale, connecting CargoWise to Mexico's single window for foreign trade.

NZCS Integration

Accelerate NZCS integration delivery for efficiency, connecting CargoWise to New Zealand Customs Service's filing platform.

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Abstract network graphic representing CargoWise Transport Job Automation

CargoWise Transport Job Automation: Capacity Allocated and Jobs Created Before Dispatch Even Asks

Let AI run your repetitive transport job work, saving hours of manual dispatch coordination every week, at a pace no team could match by hand. From incoming delivery instructions to driver and capacity validation, our AI reads documents, checks them against your CargoWise Next data, and acts while your team handles only the exceptions.

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Why Transport Job Automation Matters More than it did Two Years Ago?

Creating a transport job used to mean someone reading a delivery instruction or trip request, manually checking which drivers and vehicles were actually free, cross-referencing delivery windows against existing routes, and keying the job into CargoWise by hand, often after already calling around to confirm capacity. That coordination overhead didn't scale well once volume picked up.

What's changed is that document AI can now read a transport request the moment it arrives and check it against live driver, vehicle, and route data automatically, creating the job with capacity already confirmed instead of dispatch discovering a conflict after the fact.

AI assistant checking capacity and creating a transport job

How CargoWise Transport Job Automation Actually Works?

01

Receive Request

Delivery instructions, trip sheets, and transport requests arrive by email or portal, and are picked up automatically the moment they land, no manual forwarding required.

02

Read and Extract

AI reads each request, regardless of source, and pulls out pickup and delivery locations, time windows, cargo details, and any special handling instructions.

03

Mapping & Validate

Extracted fields are converted into CargoWise's transport job structure and checked against driver availability, vehicle capacity, and route feasibility.

04

Exception Management

Anything missing, mismatched, or unable to be validated automatically routes to manual validation, so only genuine exceptions need a human touch.

05

Manual Validation

Your team reviews the specific flagged issue, no available driver, capacity conflict, unclear delivery window, and corrects or approves it.

06

Job Creation, Confirm and Notify

Once validated, the transport job is created directly in CargoWise Next, a dispatch notification triggers, and the source request attaches to eDocs automatically.

Manual Dispatch Coordination vs. AI Transport Job Automation

Manual Dispatch Coordination

  • Someone manually checks driver and vehicle availability
  • Capacity conflicts discovered after the job is already keyed in
  • Delivery windows cross-referenced by memory or spreadsheet
  • Job creation waits on dispatch having time to process it
  • Manual filing of delivery instructions afterward

AI Transport Job Automation

  • Availability is validated automatically against live data
  • Conflicts flagged before the job is created
  • Time windows checked systematically against existing routes
  • Reading and validation happen the instant the request arrives
  • Documents attach to eDocs automatically as part of the same process
Freight forwarder inspecting shipping containers with a laptop

Designed Around Freight Transport Dispatch, Not Adapted from Generic Fleet Software

Most dispatch automation tools were built for simple point-to-point delivery scheduling. CargoWise Transport Job Automation is built around how forwarders actually coordinate first- and last-mile transport, tied to driver allocation, vehicle capacity, and route structures inside CargoWise, not a generic fleet management workflow bolted on afterward.

Capabilities of Our CargoWise Transport Job Automation

/01

Driver and Capacity Validation

Availability, vehicle capacity, and delivery windows are checked automatically before a job is confirmed.

/02

Master Data Matching

Driver, vehicle, and route data is checked against CargoWise in real time, not reconciled after the fact.

/03

Confidence-Based Exception Routing

Only genuine conflicts reach your team, everything else moves straight through.

/04

Format-Agnostic Request Reading

Emails, portal submissions, and trip sheets are all processed without requiring a consistent layout.

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Frequently Asked Questions

Happy to Assist You with Anything

Generic dispatch tools handle simple point-to-point scheduling. CargoWise Transport Job Automation validates against freight-specific capacity, route, and job structures inside CargoWise, not a standalone scheduling calendar.

It's held as an exception with the specific issue flagged, no capacity, route conflict, unclear time window, and routed to manual validation rather than creating a job that can't actually be fulfilled.

Yes. Reading the content contextually means format differences don't require separate configurations for each source.

It reduces it. Confidence-based routing means only requests with genuine conflicts reach your team, everything else moves through job creation and eDocs filing on its own.

No. It handles the mechanical work, reading, matching, validating, creating, so your team's time goes toward route optimization and the exceptions that need a real decision, not manually checking who's free.

We build driver, vehicle capacity, and route feasibility checks around your actual fleet structure, so job creation reflects real availability, not assumed capacity.

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