A non-customer illustrative scenario showing how Industrial IQ separates dead stock, excess stock, false-stockout risk, and carrying-cost review.
A finance and operations team needs to know whether inventory reduction is safe before changing min-max or stocking policies.
| Finding | Illustrative interpretation |
|---|---|
| Dead-stock candidate | No issue activity for multiple periods, but asset coverage is missing. |
| Critical exception | Low movement item is tied to a high-criticality asset and excluded from simple reduction. |
| Duplicate-stock exposure | Equivalent records split quantity and demand history across sites. |
Inventory exposure decisions can cut the wrong stock unless duplicate, critical, and obsolete signals are separated first.
No ERP write-back. Source files purged after report generation. Human review before action. Summary metrics and audit metadata may be retained for governance.
No. It is an illustrative diagnostic scenario for buyer evaluation and does not use customer data or customer claims.
Industrial IQ replaces sample findings with uploaded-data evidence, confidence tiers, scores, reports, and action ownership.
No. It produces evidence for human review and does not change ERP, EAM, CMMS, procurement, inventory, or maintenance systems.
Resource review reduces friction: what data is needed, how reports look, how evidence is reviewed, and which route the buyer can take next.
Implementation leads, buyer committees, data owners, procurement reviewers, and product champions.
Required fields, CSV templates, user manuals, buyer guides, sample reports, diagnostic scenarios, and trust controls.
A prepared evaluation path that leads to sample proof, data templates, upload, or a scoped diagnostic discussion.
Read-only diagnostics, no ERP write-back, source-file purge after report generation, and human review before action.