Axiom-Apps scores carriers by lane,
by customer, however carrier sales needs to see it — no integration required.





No integration or IT project required — just a standard export from MercuryGate, Tai, Turvo, Revenova, or your system of record.
Carriers are scored by lane, item, mode, or customer, and data-quality issues are caught automatically before they skew your numbers.
Rebid, reassign, or renegotiate carriers backed by your own performance data — not a benchmark that doesn't know your lanes.
Every scorecard is built from your own shipment history — not an industry benchmark. See who's actually earning your business and who's quietly costing you margin, broken out by lane, item, mode, or customer.
Get a DemoAI-powered safeguards catch mode-blending, duplicate records, and incomplete statuses before they ever reach a scorecard — so nobody has to defend the numbers in a QBR.
Get a DemoAxiom-Apps understands lanes, modes, and freight classes out of the box — unlike Power BI or Tableau, which need an analyst to teach them freight logic first before they're any use at all.
Get a DemoUpload a standard TMS extract and start scoring carriers the same day — no IT project, no integration, no waiting on a vendor's implementation calendar.
Get a DemoThird Axiom is like Power BI on steroids. Every freight broker needs to be using this tool.
We're now able to predict true transit times, and we've seen our OTD improve across all customers since we started using Axiom-Apps.
Our carrier sales team now gets an automated scorecard every week, so we always know who is underperforming — it's changed how we choose carriers.
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Positioning isn’t a document you write once, get sign-off on, and file away — it’s a working reference. Every headline, subhead, and value prop here came from asking whether it traced back to a specific line in the statement. If it didn’t, it got cut or rewritten.
carrier sales teams operating within growth-stage ($10–99M ARR, 1,000–4,000 shipments/month) 3PLs and freight brokerages
to know which carriers to use and which to avoid — using their own shipment history, not generic benchmarks or guesswork — so they can confidently select the right carrier for every load
to skip IT projects, integrations, and months of BI configuration to get there
carrier intelligence software
scores carriers by lane, item, mode, or customer from a standard TMS data extract — so carrier sales can rebid, reassign, or renegotiate with confidence, improving on-time delivery, lowering claims, and increasing margin.
Power BI or Tableau, which takes months to implement and needs an analyst to teach them freight logic before they’re useful
is an AI-native platform built from the ground up to understand freight data, automatically catching data-quality issues and delivering actionable, reliable carrier scorecards on day one — no integration, no waiting.