SEAMIQ · GETIQ

Every tonne moved on someone else's teeth is a missed sale.

GETIQ is the ground engaging tools intelligence platform for GET manufacturers. It tracks every bucket configuration by machine, mine and contract period, turns field wear readings into consumption forecasts and replacement dates, and flags the renewal, the competitor displacement and the under-penetrated fleet before your sales team hears about it from the mine.

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For GET manufacturersERP and CRM integratedIndependentLive today

Campaign · Shovel 04Iron ore · Hard rock · 22 h/day

Active

Positions tracked16

Own product14 / 16

Days to renewal41

Wear methodField

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

Layout v3 · finalisedPenetration 87.5%Opportunity Conversion · T-03

Where the revenue leaks

The margin is lost between the warehouse and the renewal

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.

The renewal you heard about late

A contract window nobody was tracking. The competitor presented first, and the renewal became a tender you had to win back.

The position that quietly changed hands

A competitor tooth fitted at one position on one bucket. Nobody logged it, so nobody treated it as the start of a displacement.

The rate card the mine stopped believing

A theoretical consumption figure that site conditions proved wrong within the first campaign. Every quote after that is argued from a weaker position.

The under-penetrated fleet

A mine running your product on three machines and someone else's on twelve, and no screen that says so.

The field visit that measured nothing

A representative on site with no wear reading taken, no record made, and the next replacement date still a guess.

Stock built on last year

Demand forecast from last year's invoices rather than this year's wear. Too much of one part on the shelf, a stockout on the one the mine needed.

GETIQ tracks every campaign, layout and wear reading, so the renewal, the displacement and the under-penetrated fleet are generated as opportunities for the account manager, not discovered from the mine.

What it covers

From the field measurement to the commercial decision

Campaigns

One bucket, one machine, one mine, one contract period. Prospect, planned, active, closed, lost. Everything hangs off it.

Layouts

The bill of materials per bucket, position by position, versioned. Which product is in which position on which date.

Wear readings

Tooth length in millimetres by position and date. Two readings project the scrap date. Every reading calibrates the model.

Consumption

Field, declared or theoretical, best-available per campaign, with the method shown and the accuracy tracked.

Demand forecast

GET requirements by product and month over 3, 6 or 12 months across all active and planned campaigns.

Replacement prediction

Three methods in priority order per position. The field visit list for Monday morning, ranked by days remaining.

Commercial intelligence

Renewal, conversion and low-penetration opportunities generated automatically. Penetration by mine and group. Tender pipeline.

Tenders

Bid requirements by machine class and mine. A won tender converts to campaigns in one step.

Why GET is different

The GET market is a data desert

The product leaves and goes dark

Once a tooth leaves the warehouse the manufacturer has no reliable view of how it performs, when it will be replaced, or whether a competitor's product has taken the position.

The rate card is static

Theoretical consumption figures presented to mines are not validated against site conditions. A static rate card is wrong on day one and never corrects itself.

The renewal arrives late

Contract windows are not tracked. The sales team learns a campaign is up for renewal when a competitor is already on site presenting an alternative.

Sales and technical do not share a screen

The account manager has never seen the wear analysis the product engineer has. Field measurements sit on notepads and do not influence the next conversation.

How it works

Track. Measure. Forecast. Act.

GETIQ is not a reporting tool. It is the operating infrastructure that lets a GET manufacturer sell on evidence.

Track the campaign

Register the mine, the machine and the bucket. Finalise the layout. Set the work conditions. The theoretical abrasion model gives a consumption figure from day one, labelled as theoretical.

See the layout

Measure the wear

Field representatives record tooth length by position. The regression projects the scrap date, the consumption method upgrades from theoretical to field, and the abrasion rule is scored for accuracy.

See the regression

Forecast and act

Demand by product and month for procurement. Replacement dates ranked for the field team. Renewal, conversion and penetration opportunities for the account managers, generated without anyone asking.

See the opportunities

Wear intelligence

Two readings, and the scrap date is on the calendar

A tooth is fitted at its rated length. A field representative measures it twice. GETIQ fits the wear rate, projects the date it reaches scrap length, and compares the site rate with the theoretical model for that mineral, terrain and component. Where the site wears faster than theory, that is a commercial fact with a number on it.

Wear rate in mm per day from physical measurements
Scrap date projected per position with confidence
Site rate versus theoretical rate, stated as a percentage
Every reading recalibrates the abrasion rule for that mineral and terrain

Wear regression · T-01Shovel 04 · tooth · rated 180 mm · scrap at 60 mm

High confidence

180 mmFitted · 3 Aug

161 mmReading · 8 Sep

142 mmReading · 12 Oct

Today

60 mmScrap · 19 Jan

Wear rate 0.54 mm/dayTheoretical 0.41 mm/daySite vs theory +32%Replace by 19 Jan

Layouts

Which product is in which position, on which date

A layout is the bill of materials for a bucket: every position, its component type and the part in it. Layouts are versioned. When a mine swaps a standard tooth for an extended-service variant, or a competitor product appears at T-03, a new version is created from an effective date and the history is preserved. The layout drives the abrasion rate, the consumption, the forecast and the prediction. A competitor product in a position is a displacement, and a displacement raises an opportunity.

Draft, finalised and deprecated layout versions
Position label, component type, part number per slot
Own product versus competitor product per position
Finalised layouts push bill of materials records to the ERP

Campaign · Shovel 04Iron ore · Hard rock · 22 h/day

Active

Positions tracked16

Own product14 / 16

Days to renewal41

Wear methodField

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

Layout v3 · finalisedPenetration 87.5%Opportunity Conversion · T-03

Forecast

The number procurement actually needs

The demand forecast aggregates every active and planned campaign into GET requirements by product and month. For each campaign it applies the best available method: individual field replacement events first, a declared total second, the theoretical rate as the fallback. The method is shown per line, and the forecast accuracy against closed campaigns is shown per abrasion rule, so the manufacturer knows which numbers to trust and which rules to calibrate.

3, 6 and 12 month horizons by product and month
Field, declared and theoretical methods labelled per campaign
Mean absolute percentage error per abrasion rule
Consumption records generate demand signals for the ERP

Demand forecastAll active and planned campaigns · 3-month horizon

MAPE 11.8%

Product	Type	Nov	Dec	Jan	Source
Ultra class tooth	Tooth	96	104	112	Field
Heavy duty adapter	Adapter	12	8	16	Field
Standard shroud	Shroud	40	44	40	Declared
Wing shroud	Shroud	18	18	24	Theoretical
Locking system	Lock	96	104	112	Field

Campaigns 23 active · 4 plannedBest-available method applied per campaign

Commercial intelligence

The opportunity, before the competitor's car is in the car park

Three categories of opportunity are generated automatically from campaign data. Renewal: the campaign is approaching its end date. Conversion: a competitor product has been detected at a mine where you have a presence. Low penetration: you hold some positions on a fleet but not all of them. Each is scored, tracked through open, in progress, won, lost or dismissed, and synchronised with the CRM so the account manager sees it where they already work.

Renewal, conversion and low-penetration triggers
Penetration by mine, rolled up to mining group
Forward tender pipeline from campaign end dates
Machine OEMs ranked by the commercial value of the fleets they sit in

Open opportunitiesGenerated from campaign data · this week

7 open

Mine	Trigger	Detail	Score	State
Northern iron ore	Renewal	Campaign ends in 41 days · 16 positions	88	Open
Platinum belt · Pit 2	Conversion	Competitor tooth detected at T-03, T-07	81	In progress
Coal · Dragline fleet	Low penetration	4 of 11 machines on own product	74	Open
Copper · Shovel 11	Renewal	Campaign ends in 68 days	62	Open

Portfolio penetration 71%Tender pipeline next 12 mo 9 contracts

Benchmark

Where this mine sits against every comparable campaign

Each active campaign's actual consumption rate is placed on the distribution of all campaigns with the same mineral and terrain. A mine at the 85th percentile is consuming faster than 85% of comparable operations: harder ground, premature replacement, or a product mismatch. A mine at the 20th is getting more than rated life. Both are a commercial conversation, and the manufacturer walks in holding the data.

Percentile position per campaign on a like-for-like distribution
Replacements per 1,000 operating hours as the common unit
Abrasion rules flagged for calibration when accuracy drifts
Model bias: systematically over or under predicting, named

Wear rate benchmarkIron ore · hard rock · 31 comparable campaigns

85th percentile

Consumption rate, replacements per 1,000 operating hours

P20 · 3.1P50 · 4.6This mine · 6.9P95 · 8.0

Consuming faster than 85% of comparable operations. Harder ground, operator habit or a product mismatch. Each is a different commercial conversation, and the data says which to have.

Abrasion rule Iron ore · Hard rock · ToothRule MAPE 19% · flagged for calibration

Tenders

From a won bid to live campaigns in one step

A tender records GET requirements by machine class and mine over a contract period, with estimated volumes per asset class. When it is won, GETIQ converts it into one campaign per asset using the dates and specifications already entered. The tender pipeline, sized from live campaign end dates, is the leading indicator of where bidding activity will concentrate over the next 12 to 24 months.

Requirements and volumes by machine class and mine
One-step conversion of a won tender into campaigns
Pipeline view of upcoming competitive tenders
Lost campaigns feed the competitor intelligence model

Tender · Copper · 3-year supply6 machines · 2 mines · contract start 1 Feb

Won

Machine class	Qty	Positions	Est. teeth / yr	Campaign
Ultra class shovel	2	16	1,120	Created
Large hydraulic excavator	3	12	980	Created
Wheel loader	1	9	210	Created

Converted to 6 campaigns in one stepLayouts drafted from the bid BOM

Also in the box

Master data, lifecycle and integration

Organisations

Mining groups, mines, dealers and contractors in a hierarchy. Penetration measured at the mine and rolled up to the group.

Machines, three identifiers

Your internal reference, the mine's asset tag and the global equipment database ID, all held, none forced.

Product catalogue

Part number, type, rated tool life and scrap length. Synchronised with the ERP; wear life maintained in GETIQ because the ERP does not carry it.

Abrasion matrix

Theoretical wear rate by mineral, terrain and component type, with a confidence level that updates as field data accumulates.

Bucket lifecycle

Manufactured, stored, mounted, in field, spare, maintenance, scrap. Where every bucket is, and how long it has been there.

ERP and CRM sync

Catalogue and bill of materials to the ERP. Accounts, contacts and opportunities both ways with the CRM.

Data warehouse export

A scheduled daily export of all operational views to your warehouse endpoint, logged per run, for whatever BI tool you run.

Roles and single sign-on

Admin, manager, analyst, viewer, plus mine-scoped and dealer-scoped users. Corporate identity provider sign-on per tenant.

Buyer's checklist

How to judge a GET intelligence platform

Whatever you evaluate, GETIQ included, ask to see each of these on a screen with one of your own campaigns.

Does the wear data enter a system, or stay on a notepad?

If a field representative's measurement does not change the next sales conversation, it was never captured.

Is the layout versioned?

A bucket configuration changes. If the system cannot tell you which product was in which position on which date, the wear rate is wrong.

Is the consumption method explicit?

Field, declared or theoretical, and which one applied to which campaign. A single blended number hides how much of it is a guess.

Does the theoretical model learn?

A static rate card is wrong on day one and stays wrong. Ask to see forecast accuracy by rule and which rules are flagged for calibration.

Does a renewal alert arrive before the competitor does?

Ahead of the window, from the campaign end date, automatically. Not when a salesperson remembers.

Can you see penetration at the mine and the group?

Positions held versus positions tracked, rolled up from mine to mining group. The number a commercial director plans against.

Does a won tender become campaigns in one step?

Contract dates, machines and bid quantities are already recorded. Re-keying them is where the first error enters.

Will it still be yours in five years?

Built by an independent, with your ERP and CRM already connected, and your data exportable in full at any time.

Questions people ask

Questions people ask about GETIQ

Who is GETIQ for?

Manufacturers of ground engaging tools and the dealers who sell them. It is not a mine maintenance system. It is the commercial and field intelligence layer that sits between the GET manufacturer and the mine, built so the manufacturer can sell on evidence rather than on relationship and price.

What is a campaign?

A defined period during which a specific bucket configuration is tracked on a specific machine at a specific mine. Every piece of data in GETIQ hangs off a campaign: the layout, the wear readings, the consumption records, the opportunities. It is how GET business actually works, by machine, by site, by contract period.

Where do the wear readings come from?

Field representatives record tooth length in millimetres at specific positions on specific dates, on a phone or by uploading a spreadsheet. Two readings at a position are enough for the wear regression to project the scrap date. The readings also calibrate the theoretical abrasion model, which gets more accurate with every campaign that closes.

How does the demand forecast work?

It aggregates forward GET requirements across every active and planned campaign over 3, 6 or 12 months, by product and month. For each campaign it uses the best available method: actual field replacement events first, declared consumption second, the theoretical abrasion rate as the fallback. The method used is shown, and so is the forecast accuracy against closed campaigns.

Does it integrate with our ERP and CRM?

Yes. Product catalogue and bill of materials synchronise with the ERP; accounts, contacts and opportunities synchronise with the CRM; machine records are matched and enriched from a global equipment database; and a daily export feeds your data warehouse or BI tool. These are architectural components, not a services engagement.

Is GETIQ independent?

GETIQ is built and owned by SEAMIQ, an independent software company with no equipment or GET manufacturing interests and no commercial relationship with any GET or machine manufacturer. The intelligence is driven by your operational data alone.

Is it live?

Yes. GETIQ is deployed and operational, with the data models proven against real mine data from real operations in Southern Africa. This is not a roadmap conversation.

GETIQ

Let's talk

Bring us one campaign

Pick 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, with your data on the screen.

Or email us directly: info@seamiq.io