Authenticated users see monthly or quarterly score snapshots. Public preview mode shows the score-history structure without exposing private customer data.
Industrial IQ Score History: This Industrial IQ capability guide explains the operating question, evidence model, review boundary, and next action for the relevant platform workflow. Industrial IQ Score History for AI2COE Industrial IQ diagnostics: evidence, review, action, score history, and governance without ERP write-back.
Run Free Industrial IQ SnapshotIndustrial IQ keeps sample mode, uploaded-data mode, confidence tiers, evidence rows, report outputs, actions, score history, and governance status connected in one portal. Private records require account login.
Industrial IQ is not finished when a diagnostic score appears. The buyer still needs accountable review, evidence ownership, data-quality context, and a safe path from finding to decision. This public preview explains that operating model without exposing private diagnostic records.
Score history gives the buying committee a recurring view of improvement without confusing one diagnostic with a permanent truth. It helps leaders compare uploaded-data runs, sample runs, benchmark assumptions, and completed action outcomes over time. CFO, COO, CIO, procurement, maintenance, and governance owners can see whether the evidence base is improving before they fund broader cleanup, inventory action, ERP migration, or industrial AI adoption.
Tracks whether inventory exposure, obsolete-stock signals, and capital-at-risk assumptions improve after reviewed actions are completed.
Reviews recurring maintenance-readiness and stockout-risk scores across sites without treating a single diagnostic as the final answer.
Uses score history to show data-readiness progress before ERP migration, master-data cleanup, or AI adoption decisions.
Keeps sample, benchmark, and uploaded-data runs visibly separated so executive committees know what evidence is decision-ready.
| Layer | Behavior |
|---|---|
| Score snapshot | Engine, score type, date, score, risk level, dataset name, and sample-versus-uploaded-data flag. |
| Change versus prior run | Recurring uploads show whether risk is reducing, stable, or increasing. |
| Benchmark comparison | Score history separates benchmark assumptions from uploaded-data diagnostic evidence. |
| Renewal value | Executives can see identified, reviewed, accepted, resolved, and remaining value over time. |