Industry pack · Logistics & Freight
Your CRM already speaks logistics.
Quotarider ships with a Logistics & Freight pack. Records are renamed to the language your team already uses, and the pipeline carries the stages that actually decide whether revenue arrives.
Records become
Pipeline stages
Rates expire. Knowing how long a quote has been sitting is worth more than knowing it exists.
Conversion shape
Where logistics & freight deals actually fall out.
Stage-level conversion only becomes visible once the pipeline has the right stages in it.
Logistics & Freight pipeline: where shipments are lost
Illustrative conversion shape — your own data replaces this
The steepest drops sit at Rate Quoted, Booking Confirmed — the stages a generic five-stage pipeline cannot represent, which is exactly why the loss stays invisible in a standard CRM.
100–150 days
cycle
professionalised procurement
3–8%
commission
thin margins
18–25%
win rate
against incumbents
Contract expiry
the real compelling event
not your pitch
Benchmarks compiled from published 2025–2026 industry research by XDQ Labs Private Limited. Directional, not prescriptive — your own trailing four-quarter average is the only benchmark that finally matters.
Free · No signup · Runs in your browser
Seven calculators, tuned for a 100–150 days cycle.
Generic deal scoring assumes a mid-market SaaS motion. In logistics and supply chain, the signals that predict a close are different — and a model that does not know that will confidently mislead you.
Deal Health Scorer
Score any deal 0–100 across 8 weighted signals
Commission Calculator
Tiers, accelerators, quota attainment, OTE
Quota Planner
Target → daily activity + your sourcing cutoff
AI Call Conversion
Talk ratio, discovery depth, next-step commitment
Campaign ROI
Break-even ROAS against your real margin
Lead Score
Authority, timeline, budget, fit, pain
CAC & LTV
Unit economics and payback period
What actually predicts a close here
Generic scoring gets this wrong.
Most deal-scoring models were built on a mid-market software motion and quietly assume it. These are the signals that matter in logistics and supply chain — and they are not the same list.
The verdict
In logistics the compelling event is almost always the incumbent's contract expiring. If you do not know that date, you do not have a timeline — you have a hope.
What Quotarider does about it
Deal health weighted for a 100–150 days cycle. Commission modelled at 3–8% of contract value against the actual structure. And a sourcing cutoff calculated from your real cycle length — so you know the last day a deal can start and still land this period.
The questions people actually ask
Logistics and Supply Chain, answered plainly.
How do you displace an incumbent logistics provider?
Almost never on merit alone — the switching costs are too high. The compelling event is usually the incumbent's contract expiring, or a service failure severe enough to override inertia. If you do not know the incumbent's contract expiry date, you do not have a timeline. You have a hope.
The platform
Everything, tuned for logistics and supply chain.
Sales Suite
Deal health scored against a 100–150 days cycle. Commission modelled at 3–8% of contract value. Activity measured against the pace your quota needs.
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Marketing Suite
Campaign ROI against your real margin, lead scoring tuned to your ICP, attribution against closed revenue rather than last-click.
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Revenue Suite
Both, unified. One forecast built from pipeline velocity and campaign generation together — rather than two that disagree.
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Start now
Your number is due either way.
Free tier, no card, sixty seconds.
Built by an operator, not a committee.
Quotarider was designed against the revenue operations of 200+ companies and $400M+ of deal revenue — much of it working alongside the ground-level teams doing the entering, chasing and invoicing, not just the people presenting the dashboard.
What kept happening in Logistics
Rate cards were treated as volume commitments.
What we built because of it
Booking Confirmed separated from Rate Quoted, with expiry on quotes.
No client names, and no borrowed logos. The pattern is what matters — if it sounds like your pipeline, the fix is already in the product.