For Agricultural Machinery Dealers

Built for the six weeks that decide your year.

Tractors, combines, implements. Eleven months of preparation, six weeks of judgment — and a customer whose downtime is measured in hectares left standing.

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Agricultural machinery in black-and-white close-up
  • 6 weeks

    The harvest window that decides whether a customer stays for a decade or leaves for the dealer who answered the phone.

  • 24 hours

    Acceptable downtime for a combine in season — with ripe grain in the field, a part that arrives Thursday might as well not arrive.

  • 1 winter

    When next year’s stock is committed — months before the demand it serves exists, sized against subsidy calendars and last season’s memory.

The shape of the year

The calendar is the boss.

Service demand in this vertical is not a curve — it is a cliff. July and August concentrate the year’s critical calls into weeks, while the machines that must survive them were sold in spring and stocked in winter.

Before the cliff

Parts pre-positioned by what last season actually consumed, per model family and region. Inspection backlogs cleared in June, not discovered in July.

On the cliff

Triage that rules out the trivial by phone, vans packed by history-backed odds, and manuals that answer at the machine. Every avoided second visit is a day of harvest saved.

After the cliff

Season debrief from real records: what failed, what was missing, which customers ran hot — feeding the winter stock decision instead of evaporating into anecdotes.

Service demand · relative, by monthPeak = harvest

Illustrative curve. Your own work-order history draws the real one — per region and crop mix — and that curve is what parts stocking and technician planning should follow.

Forestry machine working a misty forest

Applied AI

Where software moves this vertical’s numbers.

  1. 01

    In-season triage that saves the drive

    Service

    A combine stops at 19:00 with grain ripe. The dispatcher runs the two-mode diagnosis: six checks by phone with the operator, then parts odds from your history for that model and hour range. The van leaves at dawn with the right box — or the fix happens over the phone tonight.

  2. 02

    Parts stocked to last season’s truth

    Parts

    What harvest actually consumed — belts, knives, bearings, sensors, per model family — sets this June’s shelf, not the wholesaler’s promo list. The part that ends a combine’s day should never be the one you almost stocked.

  3. 03

    The options explosion, contained

    Quoting

    A modern tractor configures like a car: transmissions, hydraulics, hitches, electronics packages, tyres — hundreds of valid combinations and thousands of invalid ones. Dependency rules keep every quote buildable; the factory order matches the offer that won it.

  4. 04

    Winter orders with subsidy math

    Stock

    Farm demand moves with support programs as much as with weather. Announced subsidy windows enter the stock recommendation as labeled demand events — so the spring spike is ordered for in November, not chased in April.

  5. 05

    Every machine’s paper trail, searchable

    Knowledge

    Twenty years of mixed fleets means manuals from five brands and three decades — some scanned, some German, some lost until someone retires. Indexed once, they answer in seconds with the page cited, for every technician you’ll ever hire.

Frequently asked

Questions farm machinery dealers ask first.

  • Can a system like this be live before the season?

    That constraint shapes the plan, not the other way around. We scope so the pilot lands in the quiet months and the tools are proven before the first combine call. What can't be ready responsibly waits for next season — a tool that wobbles in July costs more than no tool.

  • We are bound by a manufacturer's dealer program with its own mandated systems. Do you conflict with that?

    No — brand DMS and ordering portals stay exactly where the franchise agreement puts them. We build around them: the cross-brand layer for quoting, availability, and service history that the manufacturer's system, by design, will never cover for your other brands.

  • Demand here jumps with subsidy programs. Can planning account for that?

    Subsidy windows are entered as explicit demand events — labeled, dated, and visible in every affected recommendation. When a program is announced, you model the spike before your competitors finish reading the regulation.

  • Our customers run twenty-year-old machines next to new ones. Does service support cover both?

    The documentation assistant indexes what exists — including scanned manuals for machines older than your youngest technician. History-based parts recommendations actually get stronger on old fleets, because twenty years of work orders is a deep case base.

  • How do farmers reach us through this — do they need an app?

    No app requirement. Service requests arrive as they always have — phone, SMS, messenger — and the dispatcher's tooling does the heavy lifting: triage checks, machine history, parts odds. Anything customer-facing (status updates, inspection reminders) works over channels farmers already use.

Talk to us

Season’s coming. Let’s be ready before it is.

Two-week discovery sprint · working prototype on your data · fixed scope after discovery