Works from CSV or workbook exports produced from SAP, IBM Maximo, Oracle ERP, Hexagon EAM, Infor, and other ERP, EAM, or CMMS systems. No direct integration or write-back is required — Review data requirements →
InventoryMind AI: Inventory risk intelligence engine

InventoryMind AI — Inventory Risk and Exposure Diagnostic

Identify excess stock, obsolete inventory, slow-moving items, duplicate inventory across sites, and critical-spares exposure from exported inventory, movement, valuation, and material master data without changing stock records or source systems. The workflow starts from exported operational data, produces InventoryMind AI Inventory Risk Report, and keeps source systems untouched.

Run Free Industrial IQ SnapshotView Sample ReportRequest Diagnostic Pilot
Read-onlyDiagnostic
No ERPWrite-back
Source-filePurge after report generation
HumanReview before action
Evidence summary

Diagnostic evidence path

InventoryMind AI: This engine path connects the operating problem, exported source data, diagnostic logic, evidence output, review boundary, and next action for Industrial IQ buyers. Separate dead, slow-moving, excess, duplicated, protected, and stockout-risk spares from exported inventory data before policy changes or optimization.

Run This Engine
Review ownerThe operating, finance, procurement, maintenance, data, and governance leaders accountable for this diagnostic decision.
Input file contextTypical exported operational files, helpful optional fields, sample data, and mapped CSV or workbook evidence.
Diagnostic evidenceSource-backed findings, confidence tiers, score interpretation, report preview, review actions, and recurring-use path.
Recommended actionInspect the sample report, then run the matching engine with bounded exported operational data.
Executive decision snapshot

Problem, data, output, trust boundary, owner, and next action.

InventoryMind AI keeps the product review concrete: operating problem, typical exports, output, review owner, trust boundary, and next action stay visible before upload.

Read-only diagnostics. Source files purged after report generation. Human review before action.
Problem diagnosed

Inventory Risk and Exposure Diagnostic

Data needed

item master, stock on hand, inventory value

Output produced

InventoryMind AI Inventory Risk Report

System boundary

Read-only; no ERP/EAM write-back.

Review owner

CFO, COO, Inventory, Materials, and Supply Chain leaders

Next action

Run Snapshot, review sample report, or scope a pilot.

One platform, eight diagnostic engines

InventoryMind AI is one engine inside the Industrial IQ platform.

The selected diagnostic is shown inside the broader Industrial IQ operating model: exported operational data, source-backed evidence, confidence tiers, reports, action tracking, and no ERP write-back.

Compare all engines
CFO, CIO, Procurement, Maintenance, and Materials leaders

Catalog Intelligence

Catalog health score

 CFO, COO, Inventory, Materials, and Supply Chain leaders

Inventory Risk Intelligence

Inventory health score

 CPO, Procurement Director, CFO, and Supply Chain leaders

Procurement Leakage Intelligence

Procurement leakage score

 CFO, Finance Head, Procurement, and Board advisors

Working Capital Intelligence

Working capital score

 Asset Integrity, Maintenance, Reliability, and Operations leaders

Asset-to-Part Intelligence

Asset intelligence score

 Maintenance Director, Reliability Manager, COO, and Plant leaders

Maintenance Readiness Intelligence

Maintenance readiness score

 CIO, CTO, COO, Data Governance, and AI Transformation leaders

AI Readiness Intelligence

AI readiness score

 CISO, CIO, Audit, Governance, and Transformation leaders

Evidence Governance Intelligence

Governance readiness score

Product review card

One diagnostic decision, visible before upload.

InventoryMind AI shows what source data can prove, which findings are ready for review, and what remains buyer-controlled after the report.

Input files to prepare

item master, stock on hand, inventory value, usage history

First diagnostic question

Can your inventory export prove which stock is dead, slow-moving, duplicated, critical, or at stockout risk before policy changes?

Evidence returned

stock position, movement age, criticality, min/max exception

Review owner

CFO, COO, Inventory, Materials, and Supply Chain leaders

Trust contract
Export-first Start from buyer-controlled CSV or workbook exports; no production integration is required for the first review.
Evidence before action Findings show source context, confidence, assumptions, limitations, and owner-review status.
Governed boundary No ERP write-back, no uncontrolled remediation, and human review before operational change.
Inventory exposure

InventoryMind AI makes its source-to-decision path visible before upload.

Dead stock, excess, obsolete, critical-spare, and false-stockout review signals.

InputMaterial Id, Quantity
OutputInventoryMind AI Inventory Risk Report
Trust boundaryRead-only diagnostic, no ERP write-back, confidence-tiered evidence, and human review before action.
InventoryMind AI inventory risk dashboard showing dead stock, excess stock, critical spares, stockout watchlist, and no ERP write-back boundary.
InventoryMind AI separates reducible inventory from protected critical spares before stocking-policy change.
Industrial Evidence Graph

InventoryMind AI converts source records into governed evidence.

InventoryMind AI follows the same Industrial IQ trace: exported files, field fit, diagnostic lens, confidence marker, human review, read-only boundary, and audit-ready action.

01 Source tile

Exported ERP, EAM, CMMS, inventory, procurement, finance, asset, or work-order records.

02 Evidence trace

Mapped fields, source rows, reason codes, and continuity from file to finding.

03 Diagnostic lens

Inventory Risk Intelligence evaluates the operating question with controlled engine logic.

04 Confidence marker

High, moderate, review-required, or insufficient evidence states use labels and shapes, not color alone.

05 Human review gate

Accountable owners review exceptions, limitations, and next actions before remediation.

06 Read-only boundary

One-way export path. No autonomous ERP, EAM, CMMS, procurement, or inventory write-back.

07 Decision / audit node

Owner, action status, evidence source, report output, and audit metadata stay reviewable.

Visual boundary: this is an original AI2COE information-design system. It represents diagnostic evidence flow, not customer proof, benchmark results, automated remediation, or ERP integration.
First diagnostic proof pack

Test InventoryMind AI with the smallest credible evidence pack.

Before a buyer shares private data, this proof pack shows the source export, field-mapping gate, source-fit gate, diagnostic signal, evidence output, and repeat path for Inventory Risk Intelligence.

Inventory balance CSV

Source export

Start with material ID, quantity, stock value, site, min/max.

Required fields

Mapping gate

Confirm Material Id, Quantity. Add Description, Unit Cost, Stock Value, Last Movement Date where available.

Inventory health score

Source-fit gate

Weak coverage is labeled as an assumption or limitation before scoring.

InventoryMind AI

Diagnostic signal

Findings show item, site, movement age, value, criticality, policy exception, review level, and action class before stocking change.

InventoryMind AI Inventory Risk Report

Evidence output

Review stock position, movement age, criticality, confidence tiers, assumptions, limitations, and owner actions.

Score history and action tracker

Repeat path

Rerun after owner review to compare score movement and open findings.

View sample report Download sample CSV Mapping template Compare alternatives

Control boundary: read-only diagnostic, no ERP write-back, source-file purge after report generation, confidence-tiered evidence, and human review before action.

Output command console

InventoryMind AI produces a buyer-reviewable output bundle, not a black-box score.

The output UX is designed for executive reading and data-owner inspection: score, evidence table, confidence, report pack, action tracker, score history, export artifacts, and review ownership stay connected.

Open sample output
Inventory health score

Engine score

Score is a diagnostic interpretation, not a certified rating.

stock position, movement age, criticality, min/max exception

Evidence table

Rows show source context, reason codes, confidence, assumptions, and limitations.

High, medium, low, needs review

Confidence and limits

Findings stay separated by source quality before owner action.

InventoryMind AI Inventory Risk Report

Executive report pack

Report sections include Inventory health score, dead-stock register, stockout risk queue, excess inventory view.

Accept, reject, defer, assign, request more data

Action tracker

Output becomes governed work only after buyer review.

Baseline, rerun, movement, open findings

Score history

Recurring runs show what changed after owner decisions.

HTML, PDF, CSV evidence, mapping, dictionary

Output artifact kit

Data owners and executives can inspect the same report package.

CFO, COO, Inventory, Materials, and Supply Chain leaders

Review owner

The accountable owner reviews evidence before remediation or system change.

HTML sample PDF report Sample CSV Data dictionary Run Snapshot

Output boundary: sample outputs demonstrate structure only. Uploaded-data diagnostics are source-backed, confidence-tiered, no-write-back, and human-reviewed before action.

Product experience

Inspect the upload, mapping, evidence, score, report, and action workflow before private data is uploaded.

These are illustrative Industrial IQ UI previews using sample/demo labels. They show the enterprise workflow buyers should expect: read-only upload, mapped fields, confidence-tiered evidence, executive reporting, and governed action tracking.

Industrial IQ in 2 Minutes
Industrial IQ illustrative upload workflow preview Illustrative product UI preview

Upload operational data

CSV/workbook exports from ERP, EAM, CMMS, inventory, procurement, asset, and maintenance systems. No ERP write-back.

Industrial IQ field mapping preview Illustrative product UI preview

Map fields

AI-assisted column matching exposes required fields, optional fields, source-fit score, and data readiness before the run.

Industrial IQ evidence table preview Illustrative product UI preview

Evidence table

Findings show source row, matched record, reason code, confidence, business impact, and reviewer status.

Industrial IQ diagnostic score preview Illustrative product UI preview

Diagnostic score

Score cards separate duplicate risk, source-fit, capital exposure band, and action priority.

Preview boundary: visuals use sample/demo content and do not represent customer data, approved customer outcomes, or financial commitments.

Product definition

InventoryMind AI is a Inventory Risk and Exposure Diagnostic.

InventoryMind AI is the Industrial IQ diagnostic for inventory risk and exposure. It reviews exported inventory balances, movement history, site/plant data, item master records, valuation fields, and criticality indicators where available to produce evidence-backed inventory exposure findings for finance, operations, maintenance, reliability, and supply-chain review.

Who should use it: This page is for CFOs, COOs, supply-chain leaders, inventory managers, maintenance planners, reliability teams, and site owners reviewing excess stock, obsolete inventory, critical-spare risk, and site-level inventory exposure.
First 10-second answer
What it diagnosesIdentify excess stock, obsolete inventory, slow-moving items, duplicate inventory across sites, and critical-spares exposure from exported inventory, movement, valuation, and material master data without changing stock records or source systems.
What it producesInventoryMind AI Inventory Risk Report, evidence rows, confidence tiers, score interpretation, action queue, and owner review status.
Why it is safeRead-only diagnostic, no ERP write-back, source-file purge after report generation, and human review before action.
Operating problem

Real industrial symptoms this engine is designed to inspect.

Operating problem

High-value stock has not moved in 12, 24, or 36 months but remains on the books.

Operating problem

Critical spares show low or zero stock while duplicate or substitute items may exist elsewhere.

Operating problem

Min/max rules are based on stale demand rather than recent issue and work-order evidence.

Operating problem

Sites buy material while the same or equivalent part sits idle at another plant or storeroom.

Operating problem

Obsolete equipment still drives protected stock positions and carrying cost.

Operating problem

Inventory reduction targets risk cutting spares needed for uptime or shutdown readiness.

Typical exported data

Start with files the buyer can export safely.

These fields describe the practical evidence pack for the diagnostic. They are not mandatory integration requirements, and they do not authorize ERP, EAM, CMMS, procurement, inventory, finance, or production-system write-back.

Exported field

item master

Exported field

stock on hand

Exported field

inventory value

Exported field

usage history

Exported field

min and max levels

Exported field

criticality

Exported field

lead time

Exported field

plant or site

Exported field

reorder policy where available

Diagnostic logic

How InventoryMind AI turns exports into review evidence.

This is a high-level product explanation, not proprietary algorithm disclosure. Findings remain confidence-tiered and require owner review before operational action.

Diagnostic layerHow it works
Map stock and movement data Confirm material ID, site, storeroom, quantity, value, last movement, usage, min/max, lead time, and criticality.
Classify stock posture Separate dead, slow-moving, excess, duplicated, protected critical, and stockout-risk positions.
Connect policy exceptions Compare on-hand stock, demand, reorder settings, lead time, and criticality before recommending review.
Score exposure and readiness Create confidence-tiered risk bands for capital exposure, stockout risk, and transfer-before-buy opportunities.
Route inventory actions Send reduce, protect, transfer, investigate, and needs-review items to inventory, finance, maintenance, and site owners.
Sample output preview

Illustrative evidence rows show the report format before private data is uploaded.

Rows below are sample/demo examples. Uploaded-data diagnostics replace illustrative rows with mapped source records, confidence tiers, assumptions, limitations, and owner review status.

Finding typeConfidenceSource evidenceRecommended review actionBuyer interpretationLimitation
Slow-moving high-value stock Medium Stock value, last movement date, quantity on hand, site Finance and inventory review CFO can separate reviewable exposure from protected spares Movement age is not enough to prove reducibility.
Critical spare shortage risk Needs review Criticality, min/max, stock on hand, recent demand Protect or investigate COO and maintenance can inspect service risk before cutting stock Criticality data must be owner-validated.
What this product does not do

Credible diagnostics need visible boundaries.

Industrial IQ creates review evidence. It does not become an uncontrolled remediation system.

No automatic write-off Does not instruct accounting or inventory teams to write off stock.
No stock transfer approval Does not approve transfers, disposals, or min/max changes.
No promised reduction Does not promise inventory reduction or working-capital release.
No policy automation Does not overwrite reorder points, safety stock, or inventory policies.
No uptime decision Does not decide whether a critical spare can be removed from protection.
Trust and data lifecycle

InventoryMind AI moves from exported data to owner-reviewed action.

AI2COE uses exported operational data for diagnostic review. The workflow is read-only, does not write back into ERP, EAM, CMMS, procurement, finance, inventory, or production systems, and source files are purged after report generation. Open Findings, summary metrics, report ownership, continuity metadata, and audit events may be retained where needed for governance and reporting.

View Security Brief
01 Exported data Buyer-controlled CSV or workbook exports start the diagnostic.
02 Read-only diagnostic Industrial IQ inspects mapped fields and never writes back to source systems.
03 Evidence-backed report Findings include source context, confidence, assumptions, limitations, and owner action.
04 Source-file purge Source files are purged after report generation according to disclosed handling boundaries.
05 Governance metadata Open Findings, summary metrics, ownership, continuity metadata, and audit events may be retained where required.
Commercial path

Choose the next action by buyer readiness.

Visitor situationRecommended next stepWhy
I want to see proof first View Sample Report Inspect sample findings, confidence tiers, assumptions, limitations, and owner actions.
I have exported data ready Run Free Industrial IQ Snapshot Upload a bounded file, map fields, and route the question to the right engine.
I need executive review Request Founder-Led Pilot Scope a 15-day diagnostic with accountable reviewers, data readiness, security review, and report expectations.
I need commercial terms View Pricing Review diagnostic and recurring intelligence paths without changing trust or data-retention language.
I need security review Read Trust Center Review no-write-back, source-file handling, confidence tiers, human review, DPA, SLA, and security brief paths.
AI-readable summary

Concise entity definition for search and AI assistants.

InventoryMind AI is the Industrial IQ inventory risk diagnostic. It reviews exported inventory balance, movement, value, policy, site, and criticality data to classify dead stock, slow-moving stock, excess inventory, duplicated stock, protected critical spares, and stockout-risk candidates. The workflow is read-only, confidence-tiered, and human-reviewed.

Product decision room

Can your inventory export prove which stock is dead, slow-moving, duplicated, critical, or at stockout risk before policy changes?

Before changing stocking rules, separate dead, slow-moving, excess, duplicated, critical, and stockout-risk evidence.

stock positionmovement agecriticalitymin/max exceptionstockout watchlist
Decision path Use the hero actions or final buyer journey panel to run the engine, inspect a sample report, see required data, or request pilot scoping.
Buyer intent
Find dead stockReduce excess inventoryExpose slow-moving stockValidate stockout exposureProtect critical spare coverage
What this does not replace: MRO inventory optimization platforms. It does not replace optimization. It diagnoses readiness and priority before policy automation or planning tools.
Export readiness

Prepare the minimum practical evidence pack before the diagnostic review.

Inventory balance export material ID, site, storeroom, stock on hand, stock value
Movement history last movement date, issue quantity, usage history, demand signals
Policy context min/max, reorder point, lead time, criticality, stocking policy
After-report action path

Use the report to decide what should happen next.

01 Separate reducible stock from protected critical spares before min/max changes.
02 Review transfer-before-buy candidates and site imbalance with inventory owners.
03 Track accepted policy exceptions through action completion and score movement.
Product workflow

InventoryMind AI is inspectable before private data is uploaded.

The product flow keeps the buyer's review sequence visible: source data, diagnostic logic, evidence, report, governance boundary, and next action.

1SelectStart with Inventory Risk Intelligence or a buyer pack.
2UploadUse sample data first or map a private CSV/workbook export.
3ValidateCheck required fields, missing values, aliases, and readiness score.
4AnalyzeRun deterministic diagnostics with assumptions and limitations labeled.
5ReviewInspect evidence, review levels, action owners, and trust controls.
6ReportShare report output, score history, and next owner action.
Run Free Industrial IQ Snapshot View Sample Report Review Required Data
Best-fit ICPCFO, COO, Inventory, Materials, and Supply Chain leaders
Minimum dataMaterial Id, Quantity
Report outputInventoryMind AI Inventory Risk Report
Trust controlNo ERP write-back, owner review, review levels, and source-row evidence.
Report Preview and Output Contract

InventoryMind AI Inventory Risk Report tells leadership what happened, why it matters, and what to do next.

Every report separates sample or benchmark assumptions from uploaded-data evidence. It is designed for executive reading, analyst inspection, and owner-assigned review without automatic ERP change.

Inventory health score Source-backed section used by the buyer committee before action is approved.
dead-stock register Source-backed section used by the buyer committee before action is approved.
stockout risk queue Source-backed section used by the buyer committee before action is approved.
excess inventory view Source-backed section used by the buyer committee before action is approved.
transfer-before-buy actions Source-backed section used by the buyer committee before action is approved.
Open Sample Report Download Sample PDF Sample CSV
Evidence table preview
Stock PositionVisible in the evidence table, score interpretation, or owner review queue.
Movement AgeVisible in the evidence table, score interpretation, or owner review queue.
CriticalityVisible in the evidence table, score interpretation, or owner review queue.
Min/Max ExceptionVisible in the evidence table, score interpretation, or owner review queue.
Stockout WatchlistVisible in the evidence table, score interpretation, or owner review queue.
Buyer pack fit

InventoryMind AI sits inside the eight-engine Industrial IQ platform.

Role-based packs make each engine commercially understandable for the buying committee while preserving the one-platform story.

Buyer packDecision supportedCompanion engines
CFO Pack Fund value realization only after capital exposure, carrying cost, procurement leakage, and review confidence are visible. Working Capital Intelligence, Catalog Intelligence, Procurement Leakage Intelligence
COO Pack Prioritize site readiness, asset coverage, false stockout risk, and operational action queues. Maintenance Readiness Intelligence, Asset-to-Part Intelligence
Procurement Pack Convert supplier, PO, duplicate stock, and price-variance evidence into sourcing action without unsupported savings claims. Procurement Leakage Intelligence, Catalog Intelligence, Working Capital Intelligence
Maintenance / Reliability Pack Prove work-order readiness, asset-to-part coverage, critical-spare availability, and false-stockout risk before maintenance or reliability programs scale. Maintenance Readiness Intelligence, Asset-to-Part Intelligence, Catalog Intelligence
18-industry product readiness map

InventoryMind AI applies across asset-intensive environments without changing the no-write-back model.

The full industry ecosystem remains available in the industry hub. The first scan stays focused on representative contexts and the buyer decision.

Oil & Gas

Inventory Risk Intelligence fit for Oil & Gas

Use exported operational data to test source-backed diagnostic readiness before action.

Mining

Inventory Risk Intelligence fit for Mining

Use exported operational data to test source-backed diagnostic readiness before action.

Manufacturing

Inventory Risk Intelligence fit for Manufacturing

Use exported operational data to test source-backed diagnostic readiness before action.

Utilities

Inventory Risk Intelligence fit for Utilities

Use exported operational data to test source-backed diagnostic readiness before action.

Power Generation

Inventory Risk Intelligence fit for Power Generation

Use exported operational data to test source-backed diagnostic readiness before action.

Chemicals

Inventory Risk Intelligence fit for Chemicals

Use exported operational data to test source-backed diagnostic readiness before action.

Industry fit summary

Use the full engine route when the buying committee needs deeper matrices.

The first scan keeps attention on source exports, evidence output, buyer interpretation, trust boundaries, sample reports, and next action. Deeper scorecards and industry matrices remain available in the platform engine view.

Testing boundary: product and industry coverage is synthetic QA coverage and public-fit guidance, not customer proof, benchmark result, ROI claim, or certification.
Oil & GasMiningManufacturingFood & BeveragePharmaceuticalUtilitiesData CentersAviation MRO / AirlinesHealthcare SystemsRail, Metro & TransitTelecom Network OperatorsPorts, Marine Terminals & ShippingAerospace & Defense Maintenance DepotsWarehousing, Distribution Centers & 3PLCommercial Fleet, Trucking & LogisticsConstruction & Heavy Equipment FleetsHigher Education & Multi-Campus FacilitiesHospitality, Resorts & Gaming
View all industries View sample report
Diagnostic outcome evidence

What buyers inspect when they run InventoryMind AI.

These cards show the decision frames, inputs, outputs, and proof status a buyer committee should expect. Benchmark and sample frames are labeled; uploaded data replaces assumptions with customer-specific evidence.

Evidence contract
CFO inventory frame Sample diagnostic frame

InventoryMind AI

Utilities and critical infrastructure · Inventory balance, movement history, criticality, and min/max exports

30/90/180 movement aging bands
0 automatic stock policy changes

"InventoryMind separates dead, slow-moving, excess, and stockout-risk signals before policy changes are proposed."

CFO, inventory, and supply-chain leadership

Primary action: use the InventoryMind AI Snapshot CTA above.
COO uptime frame Benchmark-labeled frame

InventoryMind AI

Data centers · Critical facilities spares, site inventory, and recent demand

Criticality weighted risk view
Watchlist stockout-risk output

"The cockpit shows which low-stock items matter operationally and which overstock records are capital discipline issues."

Facilities operations and inventory control

Primary action: use the InventoryMind AI Snapshot CTA above.

Claims discipline: public examples are benchmark/sample frames unless marked as approved customer evidence. Savings or remediation outcomes require uploaded-data diagnostics and human review.

Answer-first product brief

What InventoryMind AI diagnoses.

InventoryMind AI diagnoses MRO inventory risk from exported item, stock, value, movement, demand, criticality, and min/max data before stocking policy or optimization changes.

Recommended first diagnostic: Start with item master, inventory balance, stock valuation, movement history, min/max, lead time, criticality, and site or storeroom fields.
Trust boundary
Read-onlyStarts from exported files; no production integration is required to begin.
No ERP write-backNo ERP, EAM, CMMS, procurement, inventory, or asset record is changed by the diagnostic.
Source-file purgeSource files are processed to generate the diagnostic report pack and then purged.
Human reviewFindings remain confidence-tiered and owner-reviewed before operational action.
Industry operating symptoms

Signals real industrial buyers recognize before they name the product.

Operating symptom

High-value stock has not moved in 12, 24, or 36 months but remains on the books.

Operating symptom

Critical spares show low or zero stock while duplicate or substitute items may exist elsewhere.

Operating symptom

Min/max rules are based on stale demand rather than recent issue and work-order evidence.

Operating symptom

Sites buy material while the same or equivalent part sits idle at another plant or storeroom.

Operating symptom

Obsolete equipment still drives protected stock positions and carrying cost.

Operating symptom

Inventory reduction targets risk cutting spares needed for uptime or shutdown readiness.

Operating symptom

Slow-moving stock is mixed with insurance spares, making finance review difficult.

Operating symptom

False stockouts trigger emergency buying despite stock being available under weak item records.

Required source files

Practical exports to prepare for Inventory Risk Intelligence.

File groupFields that improve diagnostic confidence
Inventory balance export material ID, site, storeroom, stock on hand, stock value
Movement history last movement date, issue quantity, usage history, demand signals
Policy context min/max, reorder point, lead time, criticality, stocking policy
Diagnostic method

How the engine turns exports into review evidence.

LayerHow it works
Map stock and movement data Confirm material ID, site, storeroom, quantity, value, last movement, usage, min/max, lead time, and criticality.
Classify stock posture Separate dead, slow-moving, excess, duplicated, protected critical, and stockout-risk positions.
Connect policy exceptions Compare on-hand stock, demand, reorder settings, lead time, and criticality before recommending review.
Score exposure and readiness Create confidence-tiered risk bands for capital exposure, stockout risk, and transfer-before-buy opportunities.
Route inventory actions Send reduce, protect, transfer, investigate, and needs-review items to inventory, finance, maintenance, and site owners.
Evidence outputs

What buyers receive after the diagnostic run.

OutputWhat it contains
Inventory exposure table Dead, slow, excess, duplicated, and protected-stock findings by site, value, age, and criticality.
Stockout-risk watchlist Low-stock and false-stockout signals tied to demand, criticality, min/max, and review status.
Carrying-cost review Finance-readable exposure bands and action classes before policy automation or optimization.
Business problem

Inventory Risk Diagnostic.

Dead stock, slow-moving stock, excess, stockout risk, and duplicated stock exposure.

InventoryMind AI is evaluated as a diagnostic workflow: upload, preview, field mapping, validation, analysis, source-backed evidence, score, report, action queue, owner review, and score-history movement inside the Industrial IQ portal.

Best-fit buyer rolesCFO, COO, Inventory, Materials, and Supply Chain leaders
Trigger eventERP migration, AI readiness, working-capital pressure, procurement leakage, reliability risk, audit readiness, or recurring operational review.
Input data requiredMaterial Id, Quantity
Upload workflowUpload CSV, preview fields, confirm AI-recommended mappings, validate required coverage, normalize where needed, then run the engine.
Diagnostic logicFindings show item, site, movement age, value, criticality, policy exception, review level, and action class before stocking change.
Sample evidence tablePublic sample mode exposes mapped evidence rows before the customer uploads private data.
Score outputInventory health score: lower values mean higher dead-stock, excess, stockout, duplicated-stock, and carrying-cost risk.
Executive report previewSample report pages show the decision narrative, evidence rows, review levels, assumptions, limitations, PDF export, and next actions before private upload.
Report outputInventoryMind AI Inventory Risk Report with HTML, CSV evidence, PDF, and report email status for authenticated runs.
Governance controlsNo ERP write-back, no autonomous supplier outreach or system update, owner routing, audit metadata, and clear sample-versus-uploaded-data labeling.
Workflow review pack Upload, runbook, and sample-proof path for Inventory Risk Intelligence

Open for the step-by-step workflow, diagnostic runbook, and public sample proof path.
Upload workflow

Upload -> Validate -> Analyze -> Evidence -> Score -> Report -> Action -> Repeat.

StepLayerCustomer experience
1UploadCSV export enters the parser. Source file retention rules are disclosed.
2MapERP/CMMS aliases are inferred, then corrected or confirmed by the user.
3ValidateRequired fields, completeness, missing values, and confidence reducers are shown before run.
4AnalyzeEngine-specific analyzers generate findings, evidence, and impact estimates.
5GovernFindings receive review levels and owner-decision status before any action.
6ReportExecutive report, evidence table, action tracker, and score snapshot are produced.
Engine diagnostic runbook

InventoryMind AI operating path from uploaded data to reviewed action.

This runbook makes the engine functional for buyers before a pilot: what to upload, what must pass, what the engine analyzes, what evidence is produced, and what owner decision is required.

StepGateEngine artifactBuyer decision
1 Minimum source Inventory balance CSV Start with Material Id, Quantity. Best first run adds material ID, quantity, stock value, site, min/max.
2 Source-fit gate Confirm required fields, aliases, completeness, and weak mappings. Context fields such as Description, Unit Cost, Stock Value, Last Movement Date, Movement Qty improve confidence and reduce assumptions.
3 Operational analysis path InventoryMind AI 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.
4 Evidence output InventoryMind AI Inventory Risk Report Score, findings, evidence rows, confidence tiers, assumptions, limitations, action queue, and score-history snapshot.
5 Acceptance gate Human-reviewed diagnostic Owner accepts, rejects, defers, or requests more data before remediation, optimization, or system change.
6 Repeat path Recurring intelligence Rerun after review actions to compare score movement, open findings, and unresolved evidence.
Control boundary: diagnostic outputs are decision evidence. They do not create ERP write-back, automatic deletion, supplier outreach, stocking-rule changes, or unreviewed remediation.
Public proof before account creation

Customers can inspect samples before uploading their own data.

Every sample result is labeled as sample mode. It demonstrates mapping, validation, scoring, evidence, confidence, report structure, action logic, and recurring-review context without claiming customer-specific exposure.

Sample reportPDFCSVMappingDictionaryDiagnostic page

Input-file detail Field dictionary and diagnostic data pack for Inventory Risk Intelligence

Open when the buyer needs column-level mapping, aliases, and source-context examples.
Input files and field dictionary

Accepted fields, aliases, and mapping expectations.

InputNeedCommon aliasesMeaning
Material Id Yes material; material_id; material_number; matnr; item; item_number; item_id; sku; part; part_number; stock_code Unique material, SKU, item, or spare-part identifier from the source system.
Quantity Yes quantity; qty; stock_qty; on_hand; qty_on_hand; unrestricted; labst; stock_on_hand Quantity, balance, order quantity, stock quantity, or demand quantity depending on engine.
Description Recommended description; item_description; material_description; maktx; short_text; part_description; long_text; desc Item, part, asset, work-order, finding, or source-record description used by the engine.
Unit Cost Recommended unit_cost; cost; price; moving_average_price; map; valuation_price; standard_price; unit_price Unit cost, average cost, standard price, last purchase price, or valuation rate.
Stock Value Recommended stock_value; inventory_value; total_value; valuation; value; extended_value; stock_amount Inventory value, extended value, book value, or working-capital value.
Last Movement Date Recommended last_movement_date; last_issue_date; last_used_date; movement_date; posting_date; last_trans_date; last_movement_days; age_days; days_since_last_movement Date of last issue, receipt, movement, consumption, or transaction.
Movement Qty Recommended movement_qty; issue_qty; usage_qty; consumption; demand_qty; annual_usage; annual_usage_qty Movement, issue, receipt, usage, or consumption quantity.
Demand Recommended demand; forecast; annual_demand; usage; consumption; work_order_demand; demand_qty; annual_usage_qty; wo_demand Demand, forecast, usage, or consumption signal.
Criticality Recommended criticality; critical; abc; risk_class; equipment_criticality; asset_criticality Criticality rating for part, asset, work order, or operating risk.
Min Stock Recommended min_stock; reorder_point; rop; safety_stock; minimum Minimum stock, reorder point, safety stock, or minimum balance.
Max Stock Recommended max_stock; maximum; max_level; order_up_to Maximum stock, policy max, target stock, or maximum balance.
Site Recommended site; plant; werks; location; storeroom; warehouse; depot; facility Plant, site, warehouse, storeroom, region, location, or operating unit.
Currency Recommended currency; currency_code; waers; iso_currency Currency code for cost, value, price, or exposure calculations.
Source-context examples

Examples of exported fields that make Inventory Risk Intelligence more decision-ready.

These examples help buyers prepare CSV or workbook exports before upload. They are not integration requirements, and they do not imply source-system write-back, automatic remediation, or confirmed business impact without owner review.

Source contextExample fieldsDecision value
Inventory balance export material_id, description, plant, storage_location, stock_qty, safety_stock, reorder_point, max_stock Shows where stock exists, where policy thresholds may be weak, and which rows need owner review before inventory action.
Movement and usage history annual_usage_qty, issue_count, last_issue_date, last_movement_date, movement_type, demand_period Separates slow-moving, obsolete, excess, and false-stockout candidates from normal site-specific holding patterns.
Value and criticality context unit_cost, total_value, currency, criticality, equipment_id, asset_class, shutdown_spare_flag Helps finance and operations interpret exposure as evidence-backed review signals, not automatic reduction instructions.
Procurement linkage last_purchase_date, supplier_name, lead_time_days, open_po_qty, emergency_buy_flag Connects inventory risk with replenishment, stocked-but-purchased signals, and procurement review context.
Evidence boundary: InventoryMind AI treats these fields as diagnostic context. Findings remain candidate, signal, confidence-tiered, and human-reviewed before action.
Business impact model

Why this matters to the buyer committee.

Working capital

Working capital model

Dead stock, slow-moving inventory, excess stock, carrying-cost leakage.

Service risk

Service risk model

Low or zero-stock items with recent demand, criticality, or recurring usage.

Diagnostic evidence

Diagnostic evidence model

Inventory health score, stockout watchlist, overstock evidence, review actions.

Evidence detail Report evidence and buyer interpretation for Inventory Risk Intelligence

Open when the buyer committee wants the output layers, confidence model, and role-by-role interpretation.
Evidence and confidence

What the report proves.

Output layerExampleWhy it matters
ScoreInventory health score0-100 signal with risk level and trend-ready snapshot.
Score formulaDeterministic calculationThe report exposes the scoring formula and component inputs; random scores are not used.
FindingInventoryMind AI Inventory Risk ReportIssue title, severity, source engine, and owner-facing action.
EvidenceMapped source recordsSource-row references, relevant fields, analyzer reason codes, and review level.
Evidence graphSource -> finding -> evidence -> actionThe result carries an evidence graph for review, report, action, and score-history continuity.
ConfidenceHigh / Medium / Needs ReviewCoverage, completeness, source-field quality, and analyzer agreement.
ActionOwner review itemOwner action, priority, due window, and review status.
Renewal valueRecurring management viewThe report shows exposure identified, review queue size, actions created, and next review cadence.
Buyer interpretation

One diagnostic, multiple executive decisions.

BuyerDecision questionEvidence source
CFOworking capital tied in inventory: separate reducible inventory from protected critical sparesinventory exposure report
COOuptime and site stock imbalance: reduce stock without creating availability risksite risk view
Procurementbuy-versus-transfer discipline: review transfers before buysinventory action queue
Maintenancecritical-spare availability: protect spares required for planned workcritical-spare list
Reliabilityfalse stockout exposure: resolve readiness gaps before failures recurstockout-risk watchlist
Trust controls

This engine is governed before operational action.

Trust control

No ERP write-back

Findings are recommendations and review items, not autonomous ERP changes.

 Trust control

Evidence traceability

Every finding links back to source records, mapped fields, and reason codes.

 Trust control

Evidence confidence

High, medium, low, and needs-review logic is visible before action.

 Trust control

False-positive control

Unsafe lookalikes are separated from high-confidence findings.

 Trust control

Owner review

Owners can accept, reject, defer, assign, or request more data.

 Trust control

Audit trail

Report exports, reviewer actions, and status changes remain traceable.

FAQ

Questions buyers ask before running InventoryMind AI.

What problem does InventoryMind AI solve?

It separates dead stock, slow-moving stock, excess inventory, duplicated stock, protected critical spares, and stockout-risk items before inventory reduction or optimization decisions.

What data files are required?

Start with item master, inventory balance, stock value, movement history, usage, min/max, reorder point, lead time, criticality, and site or storeroom fields.

Does InventoryMind AI replace inventory optimization software?

No. It diagnoses readiness and risk first so buyers know what data, exceptions, and policy questions should be reviewed before optimization.

Does it change stocking rules automatically?

No. It does not update min/max, reorder point, safety stock, or ERP inventory policy. It creates owner-reviewed evidence and action classes.

What output does the buyer receive?

An inventory health score, exposure table, stockout-risk watchlist, transfer-before-buy candidates, carrying-cost review, report, and action tracker.

Who should review the findings?

CFO, COO, inventory, materials, maintenance, reliability, procurement, and site owners should review because stock reduction and uptime protection are linked.

How does it differ from an ERP inventory report?

ERP reports show balances and movements. InventoryMind AI connects those exports into confidence-tiered risk, capital exposure, and owner-routed actions.

What is the safest first step?

Run a Snapshot using item, stock, movement, value, and criticality exports before approving inventory reduction targets or policy automation.

Recommended next step

Move from product interest to buyer-ready evidence.

InventoryMind AI should help a buying committee answer one practical question: what can your exported data prove, which findings are confidence-tiered, who must review them, and what action is safe after the report. Choose the next step based on buyer readiness, not a generic demo sequence.

Run Free Industrial IQ Snapshot View Sample Report See Required Data Request Diagnostic Pilot
Boundary: sample and benchmark outputs are not customer-specific findings. Uploaded-data diagnostics remain no-write-back, confidence-tiered, source-backed, and human-reviewed before action.
Buyer journey

Choose the next action by buyer readiness.

Choose the next action based on where the buying committee is now: proof review, data readiness, pilot scoping, or security validation.

Open evaluation guide
Stage: Need proof first View sample diagnostic reports

Inspect evidence rows, confidence tiers, limitations, scores, and owner actions before sharing private data.

View Sample Reports Stage: Have an export ready Run an Industrial IQ Snapshot

Start with exported operational data or sample data and route the issue to the right diagnostic engine.

Run Snapshot Stage: Need committee alignment Download the buyer evaluation guide

Use the finance, operations, technology, procurement, maintenance, and security checklist for internal review.

Download Buyer Guide Stage: Active initiative Request a founder-led pilot

Use this path when ERP migration, inventory action, procurement leakage, or AI readiness needs a scoped diagnostic.

Request Pilot Stage: Security review Review the security brief

Validate no ERP write-back, source-file purge, human review, access controls, DPA/SLA path, and retention boundaries.

Review Security Brief

Trust boundary: No ERP write-back. Source files purged after report generation. Human review before action. Sample reports use demonstration data until replaced by uploaded-data diagnostics.

Diagnostic evidence path

Choose the next step that matches your buying stage.

Industrial IQ is designed for evidence-first buyers. Review sample proof, run a bounded Snapshot, align the buyer committee, or request a founder-led diagnostic pilot when the operating problem is ready for review.

Read-only diagnostics · No ERP write-back · Source files purged after report generation · Human review before action
Still evaluating View Sample Reports

See what the report looks like before sharing internal data.

 Have a data export Run Inventory Risk Intelligence

Start with an export-first diagnostic path and no ERP write-back.

 Need committee alignment Download Buyer Evaluation Guide

Give finance, operations, procurement, ERP, security, and maintenance the same evaluation frame.

 Ready for review Request Founder-Led Pilot

Ask for a founder-led pilot review when the problem has an owner and source data is available.

AI2COE Copilot