Inventory health score
Use the score as a diagnostic signal that needs evidence review.
Industrial IQ | AI2COE | InventoryMind AI
InventoryMind AI Inventory Risk Report
Report takeaway
What this sample report answers
InventoryMind AI Sample Report shows how AI2COE Industrial IQ turns sample operational data into evidence rows, confidence tiers, score output, actions, report value, and governance controls. Sample results prove workflow and output structure; uploaded customer data is required for customer-specific findings.
Sample boundary: private source files are not required to view this sample. In live diagnostics, uploaded source files are used to generate report packs and then purged.
Review owner
Enterprise buyers inspecting report quality before uploading private operational data.
Input files
Engine-specific operational CSV exports or deterministic AI2COE sample data.
Diagnostic evidence
Evidence, scores, assumptions, limitations, actions, and governance status.
Next action
Sample report output map
How to evaluate the Inventory Risk Intelligence output bundle
This visual map helps buyers trace the sample report as a product output: source file, field mapping, evidence rows, confidence context, report pack, and governed owner action stay connected before any private upload.
stock position, movement age, criticality
Inspect source context, confidence, assumptions, and limits.
InventoryMind AI Inventory Risk Report
Use HTML and PDF views for buyer committee review.
Owner, status, next review
Keep remediation buyer-controlled after the sample is replaced with uploaded data.
Baseline and rerun movement
Use recurring reviews to see what changed after accepted actions.
CSV, mapping, data dictionary
Give data owners the field expectations before private upload.
Output boundary: this sample proves output structure and workflow only. Uploaded operational data is required before customer-specific findings can be reviewed.
Evaluation kit
Download the supporting assets for this Inventory Risk Intelligence sample.
Use the HTML sample to inspect report structure, then use the supporting files to understand what data owners would prepare before replacing sample assumptions with uploaded-data evidence.
PDF
Offline review artifact for buyer committees.
Sample CSVDeterministic sample input used for testing the workflow.
MappingColumn mapping guide for source-fit review.
DictionaryField definitions and expected diagnostic meaning.
Product pageReview the Inventory Risk Intelligence engine page.
Trust boundary: sample assets are deterministic demonstration files. Live diagnostics remain read-only, require owner review before action, and do not write back to ERP/EAM/CMMS systems.
Executive Summary
62.5Inventory health score
WatchlistRisk level
Medium ConfidenceConfidence
10Evidence records
Source mode: Sample dataset result. Sample results demonstrate workflow and report structure; uploaded-data results replace assumptions with customer source evidence.
Score interpretation: Lower health or readiness scores indicate higher unresolved exposure, weaker readiness, or stronger review need. Scores are deterministic and derived from mapped source fields, findings, evidence, and component inputs.
Executive interpretation: Focus on asset integrity, turnaround readiness, working capital exposure, and audit-safe ERP preparation.
Report delivery and governance controls
Email
Report email path
Authenticated Industrial IQ runs attempt branded report email delivery and retain delivery status in the platform report inventory.
Review
Human review required
Low-confidence or high-impact findings should be accepted, rejected, assigned, deferred, or marked needs-more-data before remediation.
ERP safety
No ERP write-back
Industrial IQ produces evidence and recommendations only. It does not autonomously change SAP, Maximo, Oracle, EAM, CMMS, procurement, inventory, or asset records.
Data handling: Uploaded source files are processed to generate the diagnostic report pack and then purged. Summary metrics and audit metadata may be retained for governance.
CFO command view
97045.0Capital exposure signal
11645.4-27172.6Recoverable range
17468.1Annual leakage signal
WatchlistBoard attention band
Diagnostic components
154200.0INVENTORY VALUE
0DEAD STOCK ROWS
5SLOW MOVING ROWS
4EXCESS ROWS
0STOCKOUT ROWS
33924.0CARRYING COST ESTIMATE
12336.0DUPLICATE STOCK EXPOSURE
active_deterministic_evidence_engineDIAGNOSTIC DEPTH
Score formula: 100 - risk_rows/source_rows*100 where stockout rows are weighted double Random score used: False
| Score input | Value |
|---|---|
| inventory value | 154200.0 |
| dead stock rows | 0 |
| slow moving rows | 5 |
| excess rows | 4 |
| stockout rows | 0 |
| carrying cost estimate | 33924.0 |
| duplicate stock exposure | 12336.0 |
| required fields mapped | 2 |
| optional fields mapped | 11 |
| source rows profiled | 24 |
| estimated row value total | 154200.0 |
| critical understock rows | 1 |
| minmax policy gap rows | 0 |
| high value immobile rows | 0 |
| duplicate inventory families | 1 |
| duplicate inventory family value | 154200.0 |
| validation issue count | 0 |
| validation blocker count | 0 |
| prompt injection signal count | 0 |
Product maturity and competitive depth
Competitive position: Competes with Verusen-style MRO optimization by making every recommendation source-backed, confidence-tiered, and reviewable before action.
| Priority | Implemented product capability |
|---|---|
| P0 | Dead stock, slow-moving stock, excess inventory, stockout risk, critical spare coverage, and duplicate stock exposure.; Min/max exception detection and transfer-before-purchase evidence.; Carrying-cost estimate with sample-vs-uploaded-data labeling. |
| P1 | ABC/XYZ segmentation, site transfer candidates, inventory policy exceptions, and critical understock queue.; Inventory health trend by site, value band, criticality, and duplicate-family exposure.; Executive interpretation for CFO, COO, inventory, procurement, and maintenance. |
| P2 | Service-level scenario simulator with stock-reduction, stockout-risk, and critical-spare protection assumptions.; Monthly inventory optimization review with prior-run comparison and renewal value report.; Benchmark comparison by industry, site type, and critical spare class. |
ICP packaging
| Package | Engines | Decision supported |
|---|---|---|
| CFO Pack | FinanceMind AI, PartsCleanse AI, InventoryMind AI, ProcureMind AI | Fund value realization only after capital exposure, carrying cost, procurement leakage, and review confidence are visible. |
| COO Pack | ReliabilityMind AI, AssetMind AI, InventoryMind AI | Prioritize site readiness, asset coverage, false stockout risk, and operational action queues. |
| Procurement Pack | ProcureMind AI, PartsCleanse AI, InventoryMind AI, FinanceMind AI | Convert supplier, PO, duplicate stock, and price-variance evidence into sourcing action without unsupported savings claims. |
| Maintenance / Reliability Pack | ReliabilityMind AI, AssetMind AI, InventoryMind AI, PartsCleanse AI | Prove work-order readiness, asset-to-part coverage, critical-spare availability, and false-stockout risk before maintenance or reliability programs scale. |
Advanced product insights
| Product output | Diagnostic value |
|---|---|
| abc xyz model | {"A_value_sites": 3, "B_value_sites": 1, "C_value_sites": 0, "X_stable_demand_signal": 23, "Y_review_demand_signal": 0, "Z_stockout_or_erratic_signal": 1} |
| transfer before purchase | [{"candidate_value": 51450.0, "from_site": "Plant-4", "recommendation": "Review transfer before purchase where another site has excess or immobile value."}, {"candidate_value": 39600.0, "from_site": "Plant-3", "recommendation": "Review transfer before purchase where another site has excess or immobile value."}, {"candidate_value": 36750.0, "from_site": "Plant-2", "recommendation": "Review transfer before purchase where another site has excess or immobile value."}, {"candidate_value": 26400.0, "from_site": "Plant-1", "recommendation": "Review transfer before purchase where another site has excess or immobile value."}] |
| policy exceptions | {"critical_understock_rows": 1, "minmax_policy_gap_rows": 0} |
| service level scenario | {"base_stock_reduction_assumption": "12% of reviewed non-critical excess and duplicate-stock exposure", "conservative_stock_reduction_assumption": "5% of non-critical excess and immobile value after review", "protect_critical_spares": true, "risk_control": "Do not reduce critical or shutdown spares without maintenance approval."} |
Buyer committee views
CFO
Can quantified exposure justify a diagnostic or remediation budget?
InventoryMind AI shows 97045.0 as the current capital or leakage signal before owner review.
Next question: Which findings have enough confidence and value to enter the financial business case?
COO
Which findings threaten operational continuity, site readiness, or uptime?
1 high-attention findings require operational owner review.
Next question: Which findings must be resolved before the next outage, shutdown, or planning cycle?
CIO
Is the data ready for governed AI without ERP write-back risk?
Industrial IQ produced evidence from exports only and did not change ERP, EAM, CMMS, or procurement systems.
Next question: Which missing fields or governance gaps should be fixed in the next export?
Procurement
Where do supplier, purchase, or stocked-but-purchased signals need review?
Procurement actions should be evidence-led and routed through human review before supplier action.
Next question: Which supplier or purchase findings are defensible enough for category review?
Maintenance
Will spare availability and catalog quality support maintenance execution?
Maintenance should use the evidence queue to protect planned work and critical assets.
Next question: Which findings block planned work, shutdown readiness, or critical equipment coverage?
Board
Is this risk material enough to fund recurring diagnostic intelligence?
The result is diagnostic evidence, not an autonomous system change or unsupported ROI claim.
Next question: Should leadership fund the next diagnostic cycle, review queue, or remediation scope?
Evidence graph
Model: Source Record -> Finding -> Evidence -> Confidence -> Business Impact -> Recommended Action -> Review Status -> Report -> Score History
16 nodes | 15 evidence relationships. This graph links uploaded source rows to findings, confidence, business impact, recommended actions, report output, and score history.
Renewal value view
97045.0EXPOSURE IDENTIFIED
4REVIEW QUEUE SIZE
4ACTIONS CREATED
0ACTIONS REVIEWED
7763.6CONSERVATIVE VALUE REALIZATION
15527.2BASE VALUE REALIZATION
monthly for high-risk sites; quarterly for controlled sitesNEXT REVIEW CADENCE
Recurring value interpretation: Compare this run against the next upload to show exposure reviewed, actions completed, score movement, and remaining risk.
Key Findings
Trust control: Each finding must be interpreted with its confidence, evidence count, mapped fields, and source records. Similar-looking industrial records may still require owner review before action.
| Analyzer | Finding | Severity | Confidence | Evidence | Action |
|---|---|---|---|---|---|
| Slow-Moving Inventory Analyzer | 5 rows indicate slow-moving stock | MEDIUM | 74% | 5 | Review stocking policy and reclassify long-tail inventory. |
| Excess Inventory Analyzer | 4 rows indicate excess inventory | MEDIUM | 74% | 4 | Reset min/max policy and release surplus working capital. |
| Duplicate Stock Exposure Analyzer | Duplicated stock exposure signal detected from repeated catalog signatures | MEDIUM | 68% | 1 | Run PartsCleanse AI and reconcile duplicate stock before procurement or disposal decisions. |
| Critical Spare Coverage Analyzer | 1 critical rows show low or insufficient stock coverage | CRITICAL | 86% | 1 | Prioritize replenishment or engineering review before maintenance or outage risk increases. |
Evidence Records
| ID | Confidence tier | Severity | Description | Value | Source | Reason codes |
|---|---|---|---|---|---|---|
| E-ce901d14 | Medium Confidence | MEDIUM | 5 rows indicate slow-moving stock | 2925.0 | row:1:MAT-001-001 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-7a62973b | Medium Confidence | MEDIUM | 5 rows indicate slow-moving stock | 6800.0 | row:6:MAT-000-006 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-898baf98 | Medium Confidence | MEDIUM | 5 rows indicate slow-moving stock | 7375.0 | row:11:MAT-005-011 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-13e10508 | Medium Confidence | MEDIUM | 5 rows indicate slow-moving stock | 2700.0 | row:16:MAT-004-016 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-205a3fa5 | Medium Confidence | MEDIUM | 5 rows indicate slow-moving stock | 8575.0 | row:21:MAT-003-021 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-ddc458b5 | Medium Confidence | MEDIUM | 4 rows indicate excess inventory | 6800.0 | row:6:MAT-000-006 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-8001c73c | Medium Confidence | MEDIUM | 4 rows indicate excess inventory | 8775.0 | row:7:MAT-001-007 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-9bcc8e73 | Medium Confidence | MEDIUM | 4 rows indicate excess inventory | 7375.0 | row:11:MAT-005-011 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-d85ef348 | Medium Confidence | MEDIUM | 4 rows indicate excess inventory | 8575.0 | row:21:MAT-003-021 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
| E-81f6232b | High Confidence | CRITICAL | 1 critical rows show low or insufficient stock coverage | 5400.0 | row:10:MAT-004-010 | material-id-present, description-signature, site-context, value-bearing-row, spec-token-match |
Recommended Actions
P1
Reset min/max policy and release surplus working capital.
Owner: CFO | Due: 60 days
P1
Review stocking policy and reclassify long-tail inventory.
Owner: CFO | Due: 60 days
P1
Run PartsCleanse AI and reconcile duplicate stock before procurement or disposal decisions.
Owner: CFO | Due: 60 days
P0
Prioritize replenishment or engineering review before maintenance or outage risk increases.
Owner: CFO | Due: 30 days
Mapping and validation
| Input | Source column | Completeness | Confidence | Reason |
|---|---|---|---|---|
| material_id | material_id | 100.0% | 100.0% | Exact ERP alias |
| quantity | quantity | 100.0% | 100.0% | Exact ERP alias |
| description | description | 100.0% | 100.0% | Exact ERP alias |
| unit_cost | unit_cost | 100.0% | 100.0% | Exact ERP alias |
| stock_value | stock_value | 100.0% | 100.0% | Exact ERP alias |
| last_movement_date | last_movement_date | 100.0% | 100.0% | Exact ERP alias |
| movement_qty | movement_qty | 100.0% | 100.0% | Exact ERP alias |
| demand | demand | 100.0% | 100.0% | Exact ERP alias |
| criticality | criticality | 100.0% | 100.0% | Exact ERP alias |
| min_stock | min_stock | 100.0% | 100.0% | Exact ERP alias |
| max_stock | max_stock | 100.0% | 100.0% | Exact ERP alias |
| site | site | 100.0% | 100.0% | Exact ERP alias |
| currency | currency | 100.0% | 100.0% | Exact ERP alias |
Source fit, AI match, and normalization
100%Source fit score
100.0%AI match score
100%Mapping readiness score
91.8%Diagnostic confidence score
Workbench interpretation: Source fit measures whether the uploaded file contains recognizable inputs. AI match measures column-mapping confidence. Diagnostic readiness measures whether the normalized mapped data can support trustworthy engine output.
| Quality signal | Value |
|---|---|
| source fit score | 100 |
| ai match score | 100.0 |
| diagnostic readiness score | 100 |
| required mapped | 2 |
| required total | 2 |
| optional mapped | 11 |
| optional total | 11 |
| required completeness | 100.0 |
| row count | 24 |
| column count | 34 |
| blockers | 0 |
| warnings | 0 |
| source fit band | Strong |
| ai match band | Strong |
| readiness band | Strong |
| diagnostic confidence score | 91.8 |
| diagnostic confidence band | Strong |
Normalization plan
| Engine field | Source column | Original sample | Normalized preview | Rule |
|---|---|---|---|---|
| Material Id | material_id | MAT-001-001 | MAT-001-001 | Trim whitespace, preserve leading zeroes, normalize item/material identifiers, and keep original source reference. |
| Quantity | quantity | 3 | 3 | Parse numeric quantity, keep negatives for audit context, and separate blank/zero from missing. |
| Description | description | Oil & Gas pump bearing seal kit model 1 stainless 4 inch | OIL & GAS PUMP BEARING SEAL KIT MODEL 1 STAINLESS 4 INCH | Normalize case, abbreviations, punctuation, industrial units, specification tokens, and obvious spacing noise. |
| Unit Cost | unit_cost | 975 | 975 | Parse unit cost, retain source currency, and separate uploaded value from benchmark assumption. |
| Stock Value | stock_value | 2925 | 2925 | Parse extended value, apply currency context where available, and label missing valuation. |
| Last Movement Date | last_movement_date | 2026-04-02 | 2026-04-02 | Parse date-like values into movement age bands for inventory risk. |
| Movement Qty | movement_qty | 1 | 1 | Normalize blanks, trim source values, preserve original evidence, and label any assumptions before engine execution. |
| Demand | demand | 3 | 3 | Normalize blanks, trim source values, preserve original evidence, and label any assumptions before engine execution. |
| Criticality | criticality | Medium | MEDIUM | Normalize High/Medium/Low, shutdown, safety, AOG, and critical-spare signals. |
| Min Stock | min_stock | 2 | 2 | Normalize blanks, trim source values, preserve original evidence, and label any assumptions before engine execution. |
| Max Stock | max_stock | 12 | 12 | Normalize blanks, trim source values, preserve original evidence, and label any assumptions before engine execution. |
| Site | site | Plant-2 | Plant-2 | Normalize plant, site, storeroom, facility, depot, or operating-unit labels. |
| Currency | currency | USD | USD | Normalize ISO currency code or use country/system assumption with visible limitation. |
Assumptions and limitations
Assumptions
- Uploaded data is treated as the source of truth for this diagnostic run.
- No ERP write-back is performed. Outputs are recommendations and evidence records only.
- Financial estimates use uploaded values where available and conservative assumptions otherwise.
- Industry language is adjusted for Oil & Gas: plants, wells, refineries, shutdowns, turnarounds, and asset integrity.
- Workbench scores were calculated before and after engine execution: source fit 100%, AI match 100.0%, mapping readiness 100%, diagnostic confidence 91.8%.
- Public sample report: deterministic AI2COE sample data was used. Replace with uploaded customer data for customer-specific findings.
Limitations
- Results are diagnostic signals, not final accounting entries.
- Low-confidence findings require human review before remediation.
- Missing source fields reduce confidence and may suppress some analyzers.
- Benchmarks are labelled assumptions unless validated by uploaded data.