USE CASE
Faster drayage quoting
Manual quotes slow everything down – from bookings to revenue. When rates take too long, opportunities disappear.

avoid operational drag
Quoting should be fast, but it’s weighed down by too many steps, too much reliance on specific people, and too much risk whenever volume increases.
15-minute walkthrough, no prep needed.


What usually happens
Most teams try to fix this with process. It rarely works.
Spreadsheets, email chains, shared inboxes – even well-built tools – all hit the same ceiling:
• They don’t scale cleanly
• They slow down under pressure
• They rely on manual intervention when speed matters most
• They slow down under pressure
• They rely on manual intervention when speed matters most
That’s why quoting stays a bottleneck – even in experienced teams.
Where teams get stuck
Process helps – until volume, speed, and accuracy collide
Most drayage teams don’t ignore the problem – they work around it. They add checks. They refine spreadsheets. They document workflows. They rely on experienced people to keep things moving.
It works — up to a point.
But as volumes increase and response times matter more, those fixes start to strain. Quotes slow down again. Bottlenecks reappear. And the same manual effort is still required at the moment speed matters most.
It works — up to a point.
But as volumes increase and response times matter more, those fixes start to strain. Quotes slow down again. Bottlenecks reappear. And the same manual effort is still required at the moment speed matters most.

A different way of operating
Ripple changes how drayage quoting fits into your operation

Platform shift
Quoting becomes Infrastructure
[01]
Fits into how you already operate
Ripple connects directly into existing systems, so quoting doesn’t become another tool your team has to juggle.
[02]
Always-on visibility, without chasing updates
Rates, shipments, and changes surface automatically – no manual follow-ups required.
[03]
Workflow happens in the background
Automation removes repetitive steps so quoting keeps pace without constant human input.
[04]
Built to scale without adding strain
As volume grows, quoting remains consistent – without extra process or headcount.
[05]
Decisions guided by real performance data
Analytics aren’t an add-on; they’re part of how the system improves over time.
[06]
Complexity handled inside the system
International rules and edge cases are absorbed by the platform, not pushed onto your team.
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