Industrial Distribution × IntelligenceIQ
Point-of-Decision Intelligence
Continuous learning across 50,000 customer accounts • 24 cohort plants live
$15.1M
Year 1 Value
20×
Pilot ROI
Signals Detected (7d)
142
▲ 23% vs prior week
Active Initiatives
37
▲ 9 created this week
Tasks In Progress
128
28% faster escalation
Working Capital Saved (YTD)
$11.4M
vs $18M target
Closed-Loop Intelligence Flow LIVE
Click any stage to navigate
1
TrendIQ
Detect
Consumption anomalies
Supplier risk signals
Inventory drift
2
DecisionIQ
Decide
Root cause analysis
Risk scoring
Task recommendations
3
ActionIQ
Execute
Automated replenishment
Procurement escalations
Kanban orchestration
4
EffectivenessIQ
Learn
Working capital impact
OTIF performance
Downtime reduction
Hidden Cost Reduction by Category
vs baseline
Functional Area Performance
| Area | Active | Completion | Avg Days |
|---|---|---|---|
| Procurement Ops | 14 | 78% | 11.2 |
| Supply Chain | 9 | 64% | 14.8 |
| Customer Ops | 7 | 88% | 8.4 |
| Onsite Teams | 5 | 54% | 16.1 |
| Vending Ops | 2 | 92% | 5.7 |
Cumulative Value Creation (3-Year)
$1.6M
Inventory Optimization
$20M base × 8%
$2.4M
Downtime Avoidance
10K hrs × $20/hr × 12mo
$450K
Freight Reduction
$3M spend × 15%
$672K
Procurement Productivity
40 FTE × 12% gain
$10.0M
Wallet Share Growth
50K accounts × 1%/yr × 20yr CLV
$45.3M+
3-Year Cumulative (per 20-account cohort)
TrendIQ — Signal Detection & Initiative Creation
AI-detected anomalies across the six-layer operational signal landscape
Open Signals
8
3 critical
Pending Initiatives
5
awaiting owner accept
Avg Confidence
84%
▲ 4pts (model v2.7)
Est. Value at Risk
$3.2M
if signals not actioned
Signal Feed AI-DETECTED
Click a signal to expand patterns, correlations, root cause, and AI initiative recommendation
DecisionIQ — Initiative Decomposition & Task Planning
Initiative Owners convert strategy into executable tasks. AI recommends Task Owners and closure paths.
Initiatives in Planning
5
Tasks Generated
38
Owner Assignments Pending
11
Avg AI Owner Confidence
87%
Initiative Workspace
Click an initiative to view objective, tasks, AI task-owner recommendations, and closure path
ActionIQ — Execution Kanban
Drag cards across columns. AI suggests workflow optimizations, automation opportunities, and similar past initiatives.
Initiative Board
Click an initiative to drill into its task board
Open
0
In Progress
0
Completed
0
EffectivenessIQ — Outcome Measurement & Learning
Closes the loop. Human feedback becomes training data for AI models.
Initiatives Completed (YTD)
94
▲ 18 this quarter
Avg KPI Delta
+22%
vs goal
OTIF Improvement
+8.4pts
96.2% vs 87.8% baseline
Inventory Turn Lift
+17%
9.4 vs 8.0 baseline
KPI Trends — Last 6 Quarters
Quarterly progression of hero outcome metrics
Goal vs Actual Performance
% achievement of target KPI, by closed initiative
Outcome Distribution
All closed initiatives YTD
Cumulative Value Delivered
$ realized · run-rate to $15.1M Year-1 target
AI Recommendation Accuracy
Owner-recommendation accept rate · model learning curve
Cycle Time Reduction by Functional Area
Before vs after, days
Performance Dashboard
Goal KPI vs Actual KPI per closed initiative
| Initiative | Goal KPI | Actual KPI | Delta | Owner |
|---|
Before / After Analysis
Human Feedback → AI Training Data
Operational Signal Landscape
"Where IntelligenceIQ Learns" — six layers feeding the closed loop
Layer 1 · Point-of-Use Systems
Badge scans, SKU withdrawals, bin depletion, usage velocity
FASTVendFASTBinOnsite Crib
Layer 2 · Customer Procurement
POs, requisitions, supplier spend, approval workflows
SAPOracleInforEDI/PunchouteProc
Layer 3 · Internal Commercial
Margin, churn risk, wallet expansion, contract leakage
SalesforceMS CRMPricingContracts
Layer 4 · Supplier & Distribution
Lead times, ASN, fill rates, OTIF, country-of-origin risk
TMSWMSSupplier PortalsCarrier Feeds
Layer 5 · Warehouse / Distribution
Pick/pack, dock congestion, cycle counts, labor productivity
ManhattanBlue Yonder
Layer 6 · Customer Production MISSING SIGNAL
Predict failure before it happens — the strategic differentiator
Siemens MESRockwellHoneywellSCADA/CMMS
The Strategic Shift
"We replenish after consumption" → "We replenish before failure."
Active Connectors
FASTVend · 18,402 devices · 2.4M scans/day● Connected
FASTBin · 6,118 bins · IR depletion every 30s● Connected
SAP S/4 (Customer ERP) · 14 customer instances● Connected
Salesforce · Customer accounts & opportunities● Connected
Manhattan WMS · 3 distribution centers● Connected
Siemens MES (Pilot Customer) · 2 plants live◐ Pilot
Rockwell FactoryTalk · Awaiting customer approval○ Pending
AI Learning Loop
Every initiative outcome retrains the recommendation models
Model Version
v2.7
deployed Apr 22
Owner Rec Accept Rate
87%
▲ from 71% in v2.4
Closure Path Hit Rate
79%
recs that led to closure
Training Annotations
2,847
human feedback events
How the System Gets Smarter
1
Detect
Signals captured
Anomaly model fires
Confidence score assigned
2
Recommend
AI suggests
Initiative owner
Task owner & path
3
Override
Human decides
Accept / reassign
Reasoning captured
4
Learn
Outcomes feed back
Closure success
Model retrained nightly