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Procurement AI for mining

AI for Mining Supply Chain Right stock. Every PO checked.

AI for mining supply chain does three jobs: it sets stock levels (min/max) from real usage, checks every purchase order against the agreed contract rate, and drafts supplier quotes from their own price book in minutes. Fixed rules do the maths, AI explains it, and a person approves every change. It starts with a free 15 minute call.

By , Perth · Updated
Mine site stores warehouse in the Pilbara with racking full of mining spare parts and a worker in hi-vis walking towards the open roller door
Built inside your systems
Built inside a tier 1 mining operator
99.8% match to the site expert
Your data stays in your systems
Free 15 minute call

What does procurement AI for mining actually include?

Four tools for miners and contractors, and one for suppliers. Each one does a job your stores, procurement or estimating team already does by hand, and each one shows its working.

ToolWho it is forWhat it does
Stock level (min/max) engineMiners and contractorsRecalculates min and max for every stock line from net usage, real lead times and criticality, and shows why each level moved.
PO vs contract checkerMiners and contractorsChecks every purchase order line against the rate that applied on the day it was raised, and flags anything above it.
Contract price bookMiners and contractorsOne price list built from your own contract history: what was agreed, what was last paid, and when each rate applied.
Commercial assistant in Microsoft TeamsSupply chain and commercial leadersAnswers questions like "what did we spend with this supplier last quarter" from your own purchasing, receipt, payment and stock data.
Quote DeskMining services suppliersReads RFQ emails, drafts the quote from your price book, and checks every PO that comes back against the quote before anything ships.

None of these replace your ERP. They sit beside it, read from it, and hand your people a short list of things worth acting on.

Are you a miner or a supplier, and where do you start?

Both sides start the same way: a free 15 minute call with Tristan, or a quick enquiry. If there is something worth fixing, you get a clear scope and price for the build. What gets built depends on which side you are on.

Miners and contractorsMining services suppliers
Who it suitsMid-tier miners and large mining contractors. Supply chain, procurement, stores and operations managers.WA suppliers with 10 to 100 staff who quote off RFQs every week. Owners, GMs and estimators.
How it startsFree 15 minute call, then a clear scope and priceFree 15 minute call, then a clear scope and price
What gets builtStock level (min/max) engine, PO vs contract checker, contract price book and an assistant in Microsoft TeamsQuote Desk: reads RFQ emails, drafts quotes from your price book, checks every PO against the quote. Optional stock levels for your own warehouse.
How it's pricedConsulting day rate, agreed after a 15 minute callConsulting day rate, agreed after a 15 minute call

Read more on spare parts optimisation, PO vs contract rate checking or Quote Desk for mining suppliers.

How does an engagement run, step by step?

A free call first, then a clear scope and price, then the build. Work is charged at a consulting day rate. The price depends on your sites, systems and data, so Tristan talks to you first, then sets out what he'd build, how many days it takes and what it costs, before any work starts.

  1. 15 minute call. Free, no obligation, no pitch. Tristan asks what you run and what is costing you, and tells you straight whether there is something worth fixing and roughly what it would cost.
  2. A look at a sample export. Only if it is useful. A read-only sample of your stock, PO, contract or quote data shows whether the data can support the build.
  3. A clear scope and price. What gets built, for which sites or inboxes, and the price, based on the days the work needs, in writing.
  4. Build inside your systems. Your Azure, Databricks or Snowflake for miners. Your Microsoft 365 or Google account plus an Australian-hosted database you own for suppliers.
  5. Run, check and support. Every number links back to the row it came from, so your team can check it. Support covers monthly re-runs, fixes, new sites and new questions.

What results has this produced so far?

These tools were first built inside an international tier 1 mining operator. These are the results that can be shared.

  • The stock level engine matched the site inventory expert's own spreadsheet 99.8% of the time.
  • One rule change, netting returns off usage, took agreement on disputed items from 73% to 98.4%.
  • A commercial assistant in Microsoft Teams answers from millions of purchasing, receipt, payment and stock rows in about a minute. Commercial leadership use it without being asked to.
  • Every answer passes 511 automated checks, and every mistake a user catches becomes a permanent test.
  • It caught a whole class of wrong spend numbers. Quotes and unapproved orders were being counted as spend. One rule fixed it.
  • A tender scorer calibrated against a real evaluation panel matched the panel exactly on one bid and came within a point on another.

See the min/max engine, the Teams commercial assistant and the verification method case studies, or read the full mining supply chain case study.

Why does AI procurement lose trust, and what is different here?

AI procurement tools lose trust fast when the AI is asked to produce the numbers. It guesses, nobody can check it, and the team goes back to their spreadsheets. Here the maths is fixed and the AI only explains it.

  • Numbers come from rules, not a language model. Min/max, contract variance and quote totals are calculated the same way every time.
  • Every number links back to its line. A flagged PO shows the PO line, the contract rate and the date that rate applied.
  • A person approves. The AI never changes a stock level, approves a PO or sends a quote on its own.
  • The data gets audited first. Bad data gives confident wrong answers, so the first job is finding what is broken. See the AI data audit case study.
  • Savings are described honestly. Cutting excess stock is released working capital over time, not instant profit. Overpaid POs are money to recover or cost avoided from here on.

What do you need to provide?

Nothing for the first call. For the build: exports from your systems, one contact who knows the data, and a few hours of a subject expert's time to check findings.

Miners and contractorsMining services suppliers
Stock on hand by line and site, with current min and maxRecent RFQs, as emails or PDFs
12 months of issues and returnsThe quotes you sent back for each one
12 months of PO lines with approval statusCurrent price lists and supplier costs
Contract rates with effective dates, and lead times if you hold themYour standard terms and quote template

CSV or Excel straight out of your ERP is fine. So is read-only access to your data platform.

How does your data stay safe?

Your data stays in your own environment. For miners, the build runs in your Azure, Databricks or Snowflake. For suppliers, it runs in your Microsoft 365 or Google account plus an Australian-hosted database that you own.

Access to source systems is read-only. Nothing writes back to your ERP, and nothing is approved, ordered or sent without a person signing it off. If you stop working with Source Digital, your data and your database stay where they are, in your account.

Every service and guide in this section

Start with the first step that matches your side of the supply chain, or read the guide for the problem in front of you. Each guide teaches the method properly, with the formula, a worked example and the mistakes that matter on a mine site.

Services

By team and region

  • AI for Mining Stores and Warehouses. AI for mining stores and warehouses: min/max levels set from real usage, dead and slow stock found fast, and parts shared across sites. A person approves.
  • AI for Mining Procurement Teams. AI for mining procurement teams: every PO checked against the contract rate, spend numbers you can trust, and answers in Microsoft Teams in about a minute.
  • Mining Supply Chain AI in Western Australia. Mining supply chain AI from Perth for miners, contractors and suppliers across the Pilbara, Goldfields and Mid West. Stock levels, PO checks, fast quotes.
  • Inside a Tier 1 Miner's Supply Chain AI. Mining supply chain AI case study: what was built inside an international tier 1 mining operator, how it was proven, and the results. 99.8% agreement.
  • AI for mining services suppliers. Our wider page on AI for mining services companies: RFQ automation, parts catalogues, compliance documents and customer portals.

Stock and spares guides

Procurement and supplier guides

Data safety

Built inside your environment, not ours

Whether you run a site or supply one, your data stays in systems you control. We build inside what you already have and you own what we build.

Inside your own systems

Miners: your Azure, Databricks or Snowflake. Suppliers: your Microsoft 365 or Google account and an Australian database you own.

Read-only on source data

We read from your ERP, inbox or exports. Nothing writes back without a person approving it.

Every number shows its working

Each figure links to the line it came from: a stock record, PO line, contract rate or past quote.

A person approves every change

Deterministic maths does the numbers and AI explains them. Your team makes the call, and it's all logged.

Our work

Built and running
in real operations

AI systems running right now inside an international tier 1 mining operator and Perth mining suppliers. Swipe or use the arrows.

Mining, Canada/Africa
Stock levels

A min/max engine matched to the site's own expert

Recommends minimum and maximum stock levels across tens of thousands of items, proven against the inventory expert's own spreadsheet.

99.8%
match to the expert
Read the case study
Mining, Canada/Africa
AI agent

A commercial assistant that answers in Teams

Procurement and commercial staff ask in Microsoft Teams and get verified answers from millions of purchasing, receipt and stock rows.

~1 min
to a verified answer
Read the case study
Mining, Canada/Africa
Price book

A price book built from the client's own contracts

Benchmark rates for services and equipment hire, so quotes are judged against what was agreed and what was last paid.

Every rate
cites its contract
Read the case study
Mining, Canada/Africa
Tender scoring

A tender scorer that cites its evidence

Deterministic pricing plus AI scoring with page referenced evidence, calibrated against a real evaluation panel.

Panel
matched on a live bid
Read the case study
Mining services, Perth
Mining services

Equipment Group: a parts catalogue Google can read

Thirteen PDF catalogues turned into searchable pages so mine buyers can find the exact part and request a quote.

35,268
pages generated
Read the case study
Mining, Canada/Africa
Parts matching

Cross-site parts matching that refuses to guess

Matches the same part across two sites' catalogues using evidence tiers, so stock can be shared instead of re-bought.

2 sites
one view of stock
Read the case study
Mining, Canada/Africa
Data quality

The AI project that audited the data first

Verifying every column surfaced data problems the client didn't know it had, before they could reach an answer.

Every
column verified
Read the case study
Mining, Canada/Africa
Method

Every mistake becomes a permanent test

Users catch it, we trace it, the rule lands and the case is frozen. The method behind every build above.

511
automated checks
Read the case study
Mining, Canada/Africa
Automation

Report delivery with no files carried by hand

Engine outputs delivered from the data platform into SharePoint and announced in Teams, with a return leg for reviewer edits.

0
files carried by hand
Read the case study
Get started

A 15 minute call.
No pitch.

Talk it through with me directly. Here is how it works.

  1. Tell me what you run. Your sites, your systems and what is costing you time or money right now.
  2. I tell you straight. Whether there is something worth fixing, how I would build it and roughly what it would cost.
  3. Scope and price. If it's worth doing, I set out what I'd build, how many days it takes and what it costs at my consulting day rate. If it isn't, I'll say so.
Tristan Sunde
Tristan Sunde
Founder, Source Digital, Perth
0452 246 854 · sales@source-digital.com.au

Send a quick enquiry

Takes 20 seconds. I reply personally, usually the same day.

Your details go to Tristan only. No mailing lists.

FAQ

Common questions

AI for mining supply chain means software that reads a miner's stock, usage, purchasing and contract data and does specific checks a team would otherwise do by hand. That includes setting min/max stock levels from real usage, checking every PO against the contract rate, and answering commercial questions in Microsoft Teams. Fixed rules produce the numbers and a person approves every change.

Source Digital charges a consulting day rate, so there is no set package price. The cost depends on the number of sites, which systems hold your data, how clean that data is and how many tools you need. After a free 15 minute call, Tristan sets out what he would build, how many days it takes and what it costs, before any work starts.

Book a 15 minute call with Tristan or send a quick enquiry. It is free, with no obligation and no pitch. Tristan asks what you run and what is costing you, then tells you straight whether there is something worth fixing and roughly what it would cost. If it is worth doing, the next step is a clear scope and price for the build.

No. The tools sit beside your ERP and read from it with read-only access. Your ERP stays the system of record for stock, purchase orders and payments. The tools work out what should change, explain why, and give a person a list to approve. Any change to a min/max level or a PO is still made by your team in your ERP.

No. The AI never decides. It does not change stock levels, approve purchase orders or send quotes by itself. The numbers come from fixed, testable rules, the AI explains them in plain English, and a person approves or rejects each item. Every figure links back to the line it came from, so anyone can check the working.

For miners, the tools are built inside your own Azure, Databricks or Snowflake environment, so the data does not leave it. For mining services suppliers, they run in your own Microsoft 365 or Google account plus an Australian-hosted database that you own. Access to source systems is read-only in both cases.

Yes. Suppliers with 10 to 100 staff who quote off RFQs every week use Quote Desk. It drafts quotes from your own price book and checks every PO that comes back against the quote before anything ships. Like every build, it is charged at a consulting day rate, with the price set after a free 15 minute call.

Tristan Sunde, who runs Source Digital from Perth, Western Australia. He built the stock level engine, PO checking and Teams commercial assistant inside an international tier 1 mining operator, and does the data work, the build and the support himself. Work is done remotely or on site, depending on what your team prefers.

Tristan Sunde, founder of Source Digital
Written by Tristan Sunde
Founder and lead developer, Source Digital, Perth WA

Tristan builds AI and data tools for mining supply chains, including a stock level engine, purchase order checks, a contract price book and a commercial assistant in Microsoft Teams for an international tier 1 mining operator. Every page on this site is written from work he has built and tested. More about Tristan.

Find the cash sitting
in your stores.

A 15 minute call. No pitch deck. If there's nothing worth fixing, I'll tell you.