Ag Equipment Dealers
AI Parts Matching. Smart Technician Dispatch.
Get Your Free Operations AuditThe Problem
These are the operational bottlenecks costing your business real money every week.
500–2,000 SKUs to Manage
Ag equipment dealers track hundreds to thousands of parts across multiple equipment lines. Manual inventory management means constant stockouts and overstock.
3–5 Day Parts Delivery Delays
Manual parts matching — flipping through catalogs, calling distributors — adds 3–5 days to every repair. During planting and harvest, that downtime costs farmers thousands.
Technician Scheduling Guesswork
Dispatching technicians based on gut feel leads to wasted drive time, mismatched skill sets, and jobs that take twice as long as they should.
Seasonal Demand Blindspots
Without predictive data, dealers get blindsided by seasonal rushes. Parts that should have been pre-staged in March run out in April when every farmer needs them.
What We Build
Custom AI automation designed for the way ag equipment dealers actually work.
Computer Vision Parts Identification
Snap a photo of a worn or broken part and AI identifies the exact replacement — including cross-references across equipment brands. No more catalog lookups.
ML-Powered Technician Scheduling
Machine learning predicts job duration based on equipment type, repair history, and technician skill set. Dispatch is optimized for minimum travel time and maximum wrench time.
Automated Seasonal Pre-Staging
AI analyzes historical demand, equipment age data, and crop calendars to predict which parts will be needed and when. Inventory is pre-positioned before the rush.
A Week in the Life: Before & After
Before: Manual Operations
- Monday: Farmer calls about a broken combine header. Tech spends 2 hours identifying the part number.
- Tuesday: Part ordered. Estimated arrival: Thursday. Farmer loses 3 days of harvest.
- Wednesday: Two techs dispatched to the same area on separate trips — 30 miles apart.
- Thursday: Spring rush hits. Three critical parts out of stock. Emergency orders at premium pricing.
- Friday: Service manager spent the afternoon manually scheduling next week's jobs.
After: AI-Automated
- Monday: Photo of broken header → AI identifies part in seconds. In stock, dispatched same day.
- Tuesday: AI predicted this failure last month based on equipment age. Part was pre-staged.
- Wednesday: Smart dispatch routes both techs through the same area. Jobs done by lunch.
- Thursday: Seasonal parts pre-staged in February based on AI demand forecast. Zero stockouts.
- Friday: Next week's schedule auto-optimized by skill match, location, and predicted job duration.
Typical Time to Measurable ROI
4–6 weeks
Based on real-world deployments for ag equipment dealers in the Red River Valley.
Ready to Automate Your Ag Equipment Dealers?
We'll audit your operations, show you exactly what can be automated, and give you real ROI numbers — before you commit a dollar.
Book a Free Operations AuditOr call (701) 642-0010