GET manufacturers sell on relationship and price because they have no field data. The tooth leaves the warehouse and goes dark. This guide sets out what it takes to track GET by campaign, turn wear measurements into consumption forecasts and replacement dates, and surface the renewal and the competitor displacement before the mine mentions them.
| Position | Type | Product | Last reading | Status |
|---|---|---|---|---|
| T-01 | Tooth | Own · Ultra class | 142 mm · 12 Oct | Own |
| T-02 | Tooth | Own · Ultra class | 139 mm · 12 Oct | Own |
| T-03 | Tooth | Competitor | Not measured | Displaced |
| A-01 | Adapter | Own · Heavy duty | Visual · 12 Oct | Own |
| S-01 | Shroud | Own · Standard | 61 mm · 12 Oct | Replace soon |
A campaign is a defined period during which one bucket configuration is tracked on one machine at one mine. It is the unit GET business actually runs on: by machine, by site, by contract period. Every wear reading, consumption record, replacement event and opportunity hangs off a campaign.
A layout is the bill of materials for the bucket: which product occupies each position, by position label, component type and part number. Layouts must be versioned, because configurations change and the wear rate calculation is only right if the system knows which product was in which position on which date. A competitor product in a position is a displacement, and a displacement is a commercial event.
Consumption is measured three ways, in order of confidence: actual field replacement events, a declared total from the mine or field representative, and a theoretical figure from the abrasion model. A credible system applies the best available method per campaign and says which one it used.
Wear rates across the mine fleet are unknown. Whether a product delivers rated tool life or wears out at 60% of it is not tracked. Replacement intervals follow operator habit, not measurement. The theoretical model presented to mines is never validated against site conditions, so the cost-per-tonne case cannot be made with field evidence.
Contract renewal windows are not tracked, so the sales team learns a campaign is due when a competitor is already on site. Penetration at a mine, positions held versus positions on the machine, lives in a spreadsheet if it lives anywhere. Field representatives collect measurements on notepads that never enter a system and never influence the next conversation.
A static rate card is wrong on day one and stays wrong. The theoretical abrasion model should be scored against actual consumption on every closed campaign, rule by rule, with the mean absolute percentage error shown and the rules that drift flagged for calibration. A manufacturer with 24 months of field data on a calibrating model has a theoretical model tuned to real mine conditions. A competitor without it is guessing.
A GET manufacturer's revenue is decided at the mine, in a conversation the manufacturer is usually not in. The leaks are not on the sales report, because the sales report does not know they happened.
Put these to any vendor, SEAMIQ included, and ask to see each one working on a screen with your own data.
GETIQ is built for GET manufacturers and the dealers who sell for them. Campaigns, versioned layouts, wear regression, best-available consumption, demand forecasting, three-method replacement prediction, wear-rate benchmarking, automatic opportunity detection, penetration and tender pipeline, with ERP and CRM synchronisation and a daily warehouse export. Independent, and live today.
| Position | Type | Product | Last reading | Status |
|---|---|---|---|---|
| T-01 | Tooth | Own · Ultra class | 142 mm · 12 Oct | Own |
| T-02 | Tooth | Own · Ultra class | 139 mm · 12 Oct | Own |
| T-03 | Tooth | Competitor | Not measured | Displaced |
| A-01 | Adapter | Own · Heavy duty | Visual · 12 Oct | Own |
| S-01 | Shroud | Own · Standard | 61 mm · 12 Oct | Replace soon |
One mine, one machine, one bucket. Send the layout, the work conditions and whatever wear readings your field team holds. We load it into GETIQ and show you the regression, the forecast and the opportunity it raises.
Or email us directly: info@seamiq.io