CargoWise Onboarding: What the First 90 Days Look Like

The first 90 days on CargoWise set the tone for everything after. Here's what a well-run onboarding timeline typically looks like.

Key takeaways

Onboarding typically runs through discovery, configuration, migration, training, go-live, and hypercare.
Discovery — mapping current workflows — should happen before any configuration begins.
Hypercare, a support-intensive period right after go-live, is where most early issues get caught.
Realistic onboarding timelines run months, not weeks, for anything beyond a single small office.

The typical phases

A well-structured onboarding moves through discovery (mapping current workflows and requirements), configuration (setting up the platform to match), data migration, staff training, go-live, and a hypercare period immediately after launch where support is most intensive.

Why discovery comes first

Configuring CargoWise before fully understanding your current workflows is how companies end up rebuilding structure mid-project. Discovery is slower up front but prevents the more expensive problem of configuring around the wrong assumptions.

Hypercare is not optional

The weeks right after go-live are when real-world usage surfaces issues that testing didn't catch. A defined hypercare period — with fast response times and close monitoring — is what keeps small early issues from becoming entrenched bad habits.

Starting a CargoWise onboarding?

YadriTrans runs structured onboarding programs — discovery through hypercare — for companies implementing CargoWise for the first time.

Frequently asked questions

How long does CargoWise onboarding take?

It varies by company size and complexity, but realistic timelines run months rather than weeks for anything beyond a single small office.

What is hypercare in a CargoWise onboarding?

A support-intensive period immediately after go-live, focused on catching and resolving issues that only surface under real usage.

Why does discovery matter before configuration?

Configuring the platform before fully understanding current workflows leads to costly rework later; discovery prevents building around wrong assumptions.