Know What Your Customers' Bikes Need Before They Do
Predictive parts demand from real ride data and component wear tracking. Stock smarter. Reach out proactively. Close service you'd otherwise miss.
See It in ActionData That Doesn't Exist in Any Other System
When your customers ride with the Trail Hits app, every ride updates component strain on their bike. That data flows to your Hub dashboard — and it changes everything.
Components at 90%+ wear across your customer base.
These are customers you should contact this week. Each one is a service ticket waiting to happen — the only question is whether they come to you or someone else.
Components at 70–89% wear. Your 30-day pipeline.
These customers aren't urgent yet — but they will be. Start ordering parts now. Reach out when the timing is right.
Parts demand by component type. Capacity planning.
Bar chart showing which components will need replacement. Estimated monthly visits. Plan your tech schedule and parts orders accordingly.
How Ride Data Becomes Parts Demand
The intelligence comes from two sources working together — the consumer app and your Hub inspections.
From the Consumer App
- Every ride updates component strain based on distance, elevation, and terrain
- Wear curves adjust to how hard the rider actually rides
- Components approach service thresholds in real time
- Customer sees their bike's health — and knows when to come in
From Hub Inspections
- Mechanic-verified condition data calibrates the wear model
- Expected vs. actual wear comparison per component
- Replacement history shows true service intervals for your customer base
- Voice-scribed mentions ("running low on rebuild kits") flag inventory needs
The more customers who use the Trail Hits app, the richer your forecast. Give them free access with your shop invite code — they get unlimited ride tracking, you get predictive intelligence.
Turn Wear Data Into Service Revenue
Imagine knowing that 14 of your customers have chains at 80%+ wear, 9 of them ride 3+ times per week, and 5 have appointments in the next two weeks. That's not a dashboard metric — that's a revenue pipeline.
"Hey Mike, your fork is due for a lower leg service — want us to get you on the schedule before your weekend ride?"
That text exists because you actually knew. Not because Mike called, not because it showed up on a calendar — because ride data told you his fork hit 90% wear last Tuesday.
The Math
One proactive fork service
$200–400
One brake bleed reminder
$80
One chain + cassette replacement
$150–250
Hub pays for itself with one proactive service call per month.
Fleet Health Dashboard
See the health of every customer bike in your network. Filter by urgency, component type, or customer. Export to CSV.
Health Alerts
Bikes with components at critical wear
Top Components
Most frequently flagged and replaced parts
Monthly Visits
Estimated based on wear curves and ride frequency
Demand by Type
Bar chart: what parts to stock next
Stop guessing what to order. Start knowing.
Give your customers free Trail Hits. They get ride tracking — you get predictive parts demand.