Practical guides for decisions you can check

Start with the data you already have. Work through real operational questions with clear definitions, fictional examples, useful templates and links to the implementation docs.

  1. How to spot supplier delivery problems using your PO history

    Use purchase-order history to distinguish an isolated late delivery from a supplier problem, with worked examples, a sample CSV, and evidence you can check.

    For procurement, supply-chain and operations teams · Includes a downloadable CSV

    Read the guide

  2. A supplier scorecard template with evidence behind each rating

    Build a supplier scorecard people can question and act on. Includes a downloadable CSV template, worked examples, definitions, and a practical review process.

    For supplier managers and procurement teams · Includes a downloadable CSV

    Read the guide

  3. The same supplier under three names: how to reconcile messy records

    Bring supplier records together without losing source identities. Learn how to review matches, distinguish companies from sites, and preserve corrections with worked examples.

    For operations teams working across ERP exports, spreadsheets and outside sources

    Read the guide

  4. How to test a supplier-risk prediction before trusting it

    Evaluate supplier-risk predictions against what happened, with a worked back-test, false-alarm analysis, evidence cutoffs, calibration and a practical pilot checklist.

    For operations leaders evaluating AI forecasts or a supplier-risk pilot

    Read the guide

  5. What an evidence-backed AI answer should show

    Learn how to inspect an AI answer before acting: source records, time boundaries, conflicting evidence, uncertainty, run history and human corrections, with an annotated example.

    For teams using AI to make operational decisions

    Read the guide