Every delivery is a data point Wall Street would pay millions for. Here's the opportunity.
What You're Sitting On
4.7M+ Data Points/Year
13,000 stops x 365 nights = granular delivery volume data at scale
Coast-to-Coast Coverage
120 hubs and forward cross-docks spanning all 48 continental states
Multi-Sector Signal
Agriculture (1,300+ dealers), Construction (1,500+), Automotive, Heavy Trucking, Industrial
40+ Years of Trends
Operating since 1981 — decades of historical baseline for pattern detection
The Alternative Data Market
Hedge funds are spending $10B+/year on non-traditional data.
Investment Signals
Agriculture OEM Stocks
DEAGCOCNHIWhen Deere dealership deliveries spike 15% in Q2, it signals an earnings beat 6-8 weeks before Wall Street sees it.
Data source: 1,300+ ag dealership stops nightly
Regional Economic Health
Hub-by-hub delivery density maps to regional GDP. Agricultural parts shipments shifting south? Commodity traders want to know first.
Data source: 120 hubs across 48 states
Supply Chain Intelligence
PCARNAVReverse logistics volume predicts product recalls before public announcements. Return rates by region signal demand shifts.
Data source: Full reverse logistics tracking
Competitive Market Share
DEAGCOCNHICross-referencing 1,300+ ag dealership stops with AGCO vs. Deere vs. CNH reveals real-time market share shifts.
Data source: Multi-OEM delivery comparison
Companies Already Doing This
They buy data from carriers like Lanter. Why not sell it directly?
FreightWaves
Valued at $1B+Trucking data platform
Raised $290M+. Sells logistics intelligence to hedge funds via SONAR platform.
Panjiva
Acquired $140MTrade & shipping records
Acquired by S&P Global for $140M. Funds pay for import/export shipment data.
CargoMetrics
Schmidt-backedMaritime + freight data
Backed by Eric Schmidt. Sells satellite shipping data to quant funds.
Revenue Calculator
Year 1 ARR
$1.3M
5-Year Total
$11.3M
30% YoY client growth
This is software revenue. No trucks, no fuel, no drivers. 90%+ gross margin from data you're already generating.
"But Isn't This Our Secret Sauce?"
Not selling: customer names, routes, pricing, contracts
Your competitive advantage stays 100% private
Selling: "Ag parts volume in the Southeast is up 8% MoM"
Anonymized, aggregated market-level trends only
Think of it like Mastercard's SpendingPulse: they don't sell who bought what. They sell "consumer spending in retail is up 3% this quarter." Same concept, zero risk.
How It Works
Data Audit
2-3 weeksCatalog existing data streams — delivery logs, routing patterns, volume metrics, return flows. Map what you already have.
Anonymize & Package
4-6 weeksStrip all PII and proprietary details. Aggregate into market-level indices — no customer names, no routes, no pricing. Just volume trends.
Fund Distribution
2-4 weeksConnect with hedge fund data procurement teams via platforms like Eagle Alpha, Neudata, and Datarade. They have budget and need alternative signals.
Revenue Generation
OngoingAnnual SaaS-model licenses. Predictable recurring revenue. No additional trucks, fuel, or drivers required.
The Audax Angle
Audax didn't invest in a trucking company. They invested in a data company that happens to own trucks.
90%+
Gross Margin
vs. 15-20% for trucking operations
100%
Recurring Revenue
Annual contracts, not per-delivery
$0
Incremental CapEx
The data already exists
10-20x
Revenue Multiple
Data companies vs. 1-2x for logistics
Turn Lanter's delivery data into a recurring revenue stream. No operational changes required.
30-minute data audit call
Sample data package for proof of concept
Revenue model customized for Lanter
Built by Ahlert Apps · All estimates based on public market data