🚀 SC Planner - Interactive Demo

AI-Powered Supply Chain Risk Intelligence Platform

1

Welcome to SC Planner

Your AI-Powered Risk Intelligence Platform

🎯 What is SC Planner?

SC Planner is a cutting-edge supply chain risk management platform that combines AI-powered analytics with production-ready automation. It helps organizations identify, analyze, and mitigate supply chain risks before they impact business operations.

⚡ Key Differentiator

Unlike traditional planning tools that only provide insights, SC Planner includes production-ready specifications with complete ERP/WMS/APS integration details - ready for immediate deployment.

87.5%
AI Confidence
94.1%
Prediction Accuracy
30s
Live Refresh Interval
8
System Integrations

📋 What You'll Learn in This Demo

  • Dashboard overview with real-time metrics and AI insights
  • Advanced data freshness monitoring with visual indicators, timestamps, and toast notifications
  • 5-step resolution workflow for at-risk orders
  • Production-ready specifications (the hidden breakthrough feature)
  • 12 advanced features for comprehensive supply chain management
  • Human vs BOT workflow automation

🎬 Interactive Demo Journey

This presentation will guide you through the complete SC Planner experience, from dashboard overview to production-ready automation. Navigate at your own pace using the buttons below.

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Dashboard Overview

Real-Time Monitoring & AI Intelligence

📊 Key Performance Metrics

The dashboard provides instant visibility into critical supply chain KPIs:

72.0%
OTIF Performance
€487K
Demand at Risk
€126K
Freight Costs
€9.0M
Inventory Value

🤖 AI-Powered Risk Intelligence

12 orders at risk identified by our AI engine with 87.5% confidence. The system has generated 17 mitigation recommendations with 94.1% prediction accuracy, helping you prioritize actions effectively.

📈 What's Displayed on Dashboard

  • Trends & Predictions: 7-day historical trends with 3-day ML forecasts
  • SVOT Analysis: Strengths, Vulnerabilities, Opportunities, Threats with 15+ items each
  • Risk Breakdown: 4 risk categories (Transport Delay, Capacity Constraint, Supplier Delay, Quality Issue)
  • Urgency Timeline: Critical orders requiring attention in next 0-7 days
  • At-Risk Orders List: 12 high-priority orders with intelligent filtering

⚡ Advanced Data Freshness Monitoring

SC Planner features a sophisticated real-time data monitoring system that goes far beyond basic timestamps. Our multi-layered approach ensures you always know the quality and recency of your data:

🕐 Enhanced Timestamp Display
  • ✓ Actual Time Display: Shows exact refresh time (e.g., "05:51:22 AM")
  • ✓ Relative Time: Human-friendly format (e.g., "Just now", "2m ago", "5h ago")
  • ✓ Real-Time Updates: Timestamp updates every second for live accuracy
  • ✓ Color-Coded Freshness: Visual indicators show data quality at a glance
🎨 Three-Tier Freshness Levels
  • 🟢 Fresh (< 3 minutes): Green borders, emerald glow effect, optimal data quality
  • 🔵 Recent (3-10 minutes): Blue borders, good data quality, no action needed
  • 🟡 Stale (> 10 minutes): Amber borders, consider manual refresh
✨ Visual Update Indicators
  • ✓ Pulsing Animation: 3-second pulse effect when data refreshes
  • ✓ Glow Effects: Emerald ring highlights around updated components
  • ✓ Scale Animation: Subtle zoom effect during updates
  • ✓ Component-Level Tracking: Metrics Overview, Orders List, and individual order cards show refresh status
🔔 Toast Notifications
  • ✓ Pop-up Alerts: Non-intrusive notifications when data updates
  • ✓ Update Summary: Shows what changed (e.g., "Dashboard metrics refreshed")
  • ✓ Auto-Dismiss: Disappears after 3 seconds to avoid clutter
  • ✓ Timestamp Display: Shows exact time of the refresh in the notification

Why This Matters: In supply chain management, data freshness is critical. Our multi-layered monitoring system ensures you always know if you're making decisions based on the latest information, with visual cues that require no extra clicks or mental overhead.

🔄 Real-Time Data Synchronization

The platform refreshes data every 30 seconds from 8 enterprise systems:

✓ SAP S/4HANA (2,691 records)
✓ Manhattan WMS (5,421 records)
✓ Kinaxis RapidResponse (1,712 records)
✓ Oracle TMS (1,804 records)
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At-Risk Orders List

Intelligent Filtering & Prioritization

🎯 Order Card Information

Each order card displays comprehensive risk intelligence:

  • Order ID & Customer: Unique identifier and customer name (e.g., "2026001 - Hitachi Rail")
  • Order Value: Financial exposure (ranging from €42K to €228K)
  • Risk Level: Color-coded indicators (High = Red, Medium = Amber, Low = Green)
  • Urgency: Days until critical deadline (1-7 days)
  • Risk Factors: Specific issues identified (e.g., "Supplier Delay", "Quality Issue")
  • Predictive Insights: AI-generated risk probability and recommended actions

🔍 Smart Filtering & Search

Filter orders by risk level (All / High / Medium / Low), search by order ID or customer name, and sort by urgency, value, or risk score. The system automatically prioritizes orders requiring immediate attention.

📋 Sample At-Risk Orders

HIGH 2026001 - Hitachi Rail - €228K - 1 day critical
HIGH 2026005 - Kawasaki Heavy - €115K - 2 days
HIGH 2026002 - Alstom Transport - €115K - 3 days
HIGH 2026009 - CRRC Corporation - €87K - 5 days

👉 Next Step

Click on any order card to open the 5-Step Resolution Workflow where you can analyze root causes, review AI recommendations, simulate scenarios, and execute mitigation actions.

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5-Step Resolution Workflow

From Analysis to Execution

1
Overview
2
Root Cause
3
Options
4
Simulate
5
Commit

🔄 Complete Workflow Process

Each at-risk order goes through a structured 5-step workflow designed to ensure thorough analysis and optimal decision-making:

1️⃣ STEP 1: Overview

  • Comprehensive order details (customer, delivery dates, product specifications)
  • Risk assessment with confidence intervals
  • Potential financial impact calculation
  • Real-time cost exposure tracking
  • Historical performance context

2️⃣ STEP 2: Root Cause Analysis

  • 3-level cause hierarchy visualization
  • Identifies specific supplier/quality/capacity issues
  • Defect rate analysis (e.g., 12% defect rate from specific supplier)
  • Historical pattern recognition
  • Traces back through supply chain dependencies

3️⃣ STEP 3: AI Recommendations (Options)

  • Multiple mitigation strategies with cost-benefit analysis
  • Risk reduction percentages (75-94% mitigation)
  • Cost implications (€12K - €28.5K range)
  • Timeline impact projections
  • Confidence scores for each option

4️⃣ STEP 4: Simulation (What-If Analysis)

  • Financial impact modeling before commitment
  • Timeline projection visualization
  • Risk mitigation effectiveness charts
  • Interactive scenario comparison
  • Demand at risk reduction calculations

5️⃣ STEP 5: Commit (Execution)

  • Human vs BOT workflow selection
  • 10 detailed execution steps with complete specifications
  • Production-ready ERP/WMS/APS integration details (the breakthrough feature)
  • Real-time status tracking and validation
  • Automatic rollback procedures if needed

🌟 The Breakthrough Feature

Step 5 (Commit) includes dropdown arrows that reveal complete production specifications for each execution step - including system modules, API endpoints, 66+ database fields, 145+ instructions, 58 validation rules, and 10 rollback procedures. This is NOT just a demo - it's deployment-ready!

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STEP 1: Order Overview

Comprehensive Risk Assessment

1
Overview
2
Root Cause
3
Options
4
Simulate
5
Commit

📋 Order Details

2026001
Order ID
€228K
Order Value
HIGH
Risk Level
1 day
Urgency

👤 Customer Information

  • Customer: Hitachi Rail
  • Product: Brake System Components - High-Speed Train Parts
  • Quantity: 1,200 units
  • Delivery Date: February 2, 2026 (1 day away - CRITICAL)
  • Ship-To Location: Kasado Works, Kudamatsu, Japan

⚠️ Risk Assessment

Primary Risk: Supplier Delay + Quality Issue

AI Confidence: 89% probability of delivery failure

Financial Impact: €228K order value at risk + potential €150K penalty for late delivery

Root Cause: Supplier XYZ has 12.4% defect rate on brake components, causing production delays

📊 Predictive Insights

  • Without Action: 89% chance of missing delivery deadline
  • Customer Impact: High-speed train production line stoppage
  • Relationship Risk: Major customer (15% of annual revenue)
  • Historical Context: This customer has 98.5% OTIF expectation
  • Recommended Next Step: Proceed to Root Cause Analysis (Step 2)
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STEP 2: Root Cause Analysis

3-Level Hierarchy Investigation

1
Overview
2
Root Cause
3
Options
4
Simulate
5
Commit

🔍 3-Level Cause Hierarchy

The AI system traces back through multiple levels to identify the true root cause:

Level 1: Immediate Symptom

  • Issue: Production delay at supplier facility
  • Impact: Cannot meet February 2 delivery date
  • Detection: Supplier notified us 3 days ago (too late for standard mitigation)

Level 2: Contributing Factor

  • Issue: Quality rejection rate at 12.4% (normal is 2-3%)
  • Affected Parts: Brake disc assemblies (Material: High-carbon steel)
  • Failure Mode: Surface hardness not meeting specifications
  • Rework Time: 4-5 days per batch (unacceptable for critical deadline)

🎯 Root Cause Identified

Level 3: True Root Cause

  • Supplier: XYZ Manufacturing (Heat Treatment Specialist)
  • Problem: Outdated heat treatment equipment causing inconsistent hardness
  • History: This supplier has had 3 similar issues in past 6 months
  • Risk Score: 78/100 (high risk supplier)
  • Dependency: Single-source supplier for this critical component

📈 Historical Pattern Analysis

  • Past 6 months: 8 deliveries from this supplier, 3 had quality issues
  • Average delay when quality issues occur: 7-12 days
  • Customer impact: Previous delays cost €450K in penalties across 2 orders
  • Long-term risk: Need to qualify alternative suppliers for business continuity

👉 Next Step

Now that we understand the root cause, proceed to Step 3: Options to review AI-generated mitigation recommendations with cost-benefit analysis.

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STEP 3: AI Recommendations (Options)

Cost-Benefit Analysis of Mitigation Strategies

1
Overview
2
Root Cause
3
Options
4
Simulate
5
Commit

🤖 AI-Generated Mitigation Options

Based on root cause analysis, the system presents 3 recommended strategies with complete cost-benefit breakdown:

OPTION 1 Expedite Shipping from Current Supplier

€12K
Additional Cost
75%
Risk Reduction
2 days
Time Saved
82%
Success Rate
  • Use air freight instead of ocean shipping
  • Add quality inspection at supplier site before shipment
  • Risk: Still depends on supplier resolving quality issues
  • Timeline: Delivery by Feb 3 (1 day late, acceptable with customer notification)

OPTION 2 Source from Alternative Supplier

€18K
Additional Cost
85%
Risk Reduction
3 days
Time Saved
88%
Success Rate
  • Alternative supplier ABC Corp has inventory available
  • Higher unit cost but proven quality (0.8% defect rate)
  • Benefit: Reduces dependency on problematic supplier
  • Timeline: Delivery by Feb 2 (meets original deadline)

⭐ RECOMMENDED: OPTION 3 - Partial Fulfillment Strategy

€28.5K
Additional Cost
94%
Risk Reduction
5 days
Time Saved
95%
Success Rate
  • ✓ Split order: 900 units from alternative supplier (available now)
  • ✓ Remaining 300 units from original supplier with air freight
  • ✓ Customer production line continues with 75% of parts (acceptable per their MRP)
  • ✓ Complete fulfillment by Feb 4 (2 days late but minimal impact)
  • ✓ Best ROI: Avoids €150K penalty, maintains customer relationship

📊 Recommendation Confidence

AI Confidence Score: 92% - Based on historical data from 847 similar scenarios
Success Rate: 95% - Partial fulfillment strategies have highest success rate
Financial Impact: Net savings of €121.5K (avoided penalty minus additional costs)

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STEP 4: Simulation (What-If Analysis)

Model Impact Before Committing

1
Overview
2
Root Cause
3
Options
4
Simulate
5
Commit

🎯 Simulating Option 3: Partial Fulfillment

Before executing, let's model the complete financial and operational impact:

💰 Financial Impact Model

€228K
Original Order Value
€28.5K
Additional Costs
€150K
Penalty Avoided
€121.5K
Net Savings
  • Cost Breakdown: €18K alt supplier premium + €8.5K air freight + €2K rush processing
  • Revenue Protected: €228K order + future orders (€3.4M annual customer)
  • Margin Impact: 12.5% margin reduction on this order (acceptable for relationship preservation)

📅 Timeline Projection

  • Day 0 (Today): Commit to partial fulfillment strategy
  • Day 1: Place PO with alternative supplier (900 units), notify customer
  • Day 2: Alternative supplier ships via air freight
  • Day 3: First batch (75%) arrives at customer - production line continues
  • Day 4: Original supplier ships remaining 300 units (quality verified)
  • Day 5: Complete order fulfilled - customer satisfied

📊 Risk Mitigation Analysis

89%
Risk Before
5%
Risk After
94%
Reduction
95%
Success Rate

Simulation Result: This strategy reduces delivery failure risk from 89% to just 5%, protects customer relationship, and delivers positive ROI of €121.5K net savings.

🎨 Interactive Visualizations Available

  • Timeline Charts: Visual comparison of delivery scenarios
  • Financial Waterfall: Cost breakdown and savings calculation
  • Risk Reduction Graph: Before/after risk probability
  • Resource Allocation: Warehouse, freight, and procurement resources

✅ Simulation Complete

The financial model confirms Option 3 is optimal. Proceed to Step 5: Commit to execute this strategy with either Human workflow (manual oversight) or BOT workflow (fully automated).

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STEP 5: Commit (Execution)

Human vs BOT Workflow Selection

1
Overview
2
Root Cause
3
Options
4
Simulate
5
Commit

🚀 This is Where Production-Ready Automation Happens

Step 5 (Commit) is where SC Planner differentiates itself from traditional planning tools. You can choose between Human execution (manual oversight with step-by-step guidance) or BOT execution (fully automated workflow with AI supervision).

👤 Human Workflow

  • System displays 10 detailed execution steps with instructions
  • User manually executes each step in ERP/WMS/APS systems
  • Real-time status tracking: Pending → Updated → Verified → Closed
  • Action details logged for audit trail
  • Average execution time: 45-60 minutes
  • Best for: High-value orders, complex scenarios, or when business rules require human judgment

🤖 BOT Workflow (Automated)

  • System automatically executes all 10 steps via API calls
  • Direct integration with ERP, WMS, APS, TMS systems
  • Validation checks at each step (58 validation rules)
  • Automatic rollback if any step fails (10 rollback procedures)
  • Average execution time: 5-8 minutes
  • Best for: Standard scenarios, repetitive actions, or when speed is critical

⚖️ Comparison: Human vs BOT

45-60m
Human Time
5-8m
BOT Time
95%
Human Accuracy
99.2%
BOT Accuracy

📋 10 Execution Steps Overview

1 Update Customer Purchase Order
2 Modify Material Master & Sourcing
3 Create Alternative Supplier PO
4 Update Warehouse & Logistics
5 Adjust Production Schedule (APS)
6 Expedite Transportation (TMS)
7 Customer Notification (CRM)
8 Update Financial Accounting
9 Configure Shop Floor (MES)
10 Send EDI Updates to Partners

🌟 The Breakthrough Feature is Next!

Each of the 10 execution steps has dropdown arrows that reveal complete production specifications. This is what makes SC Planner deployment-ready, not just a demo tool. Continue to see the detailed specifications...

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Production-Ready Specifications

THE BREAKTHROUGH FEATURE - Deployment-Ready Details

🎯 This is What Makes SC Planner Different

Click the dropdown arrows (▼) next to each of the 10 execution steps to reveal complete production specifications. This isn't a mockup or concept - these are actual, deployment-ready integration details that your IT team can implement immediately.

📊 What's Inside Each Dropdown

66+
Database Fields
145+
Instructions
58
Validation Rules
10
Rollback Plans

🔍 Example: Step 1 - Update Customer Purchase Order

Click the dropdown arrow to reveal:

🏢 System Integration

  • Target System: SAP S/4HANA ERP
  • Module: SD (Sales & Distribution)
  • Transaction: VA02 (Change Sales Order)
  • API Endpoint: /sap/opu/odata/sap/API_SALES_ORDER_SRV/A_SalesOrder
  • Method: PATCH
  • Authentication: OAuth 2.0 with SAP BTP

📋 Database Fields (Sample of 12 out of 66+ fields)

  • VBELN: Sales Order Number (e.g., "2026001")
  • AUART: Order Type (e.g., "OR" - Standard Order)
  • VKORG: Sales Organization (e.g., "1000")
  • VTWEG: Distribution Channel (e.g., "10")
  • SPART: Division (e.g., "00")
  • KUNNR: Customer Number (e.g., "HITACHI001")
  • MATNR: Material Number (e.g., "BRK-HST-001")
  • KWMENG: Order Quantity (e.g., "1200")
  • VRKME: Unit of Measure (e.g., "EA")
  • EDATU: Delivery Date (e.g., "20260204" - updated from 20260202)
  • NETPR: Net Price (e.g., "190.00" EUR per unit)
  • WAERK: Currency (e.g., "EUR")
  • ...and 54 more fields including shipping point, plant, storage location, credit status, billing block, delivery block, partner functions, text IDs, pricing conditions, tax codes, etc.

📝 Detailed Instructions (Sample of 18 out of 145+)

  • 1. Authenticate to SAP S/4HANA using OAuth 2.0 token
  • 2. Retrieve existing sales order 2026001 via GET request
  • 3. Validate current order status (must be "Open" or "In Process")
  • 4. Check if order is locked by another user/process
  • 5. Update EDATU field to new delivery date (20260204)
  • 6. Update KWMENG to split quantity (900 units for new PO)
  • 7. Add delivery notes explaining partial fulfillment strategy
  • 8. Update shipping instructions for expedited delivery
  • 9. Recalculate pricing with expedite charges (+€8.5K)
  • 10. Update partner function for alternative supplier
  • 11. Set delivery priority flag to "Urgent"
  • 12. Release any existing delivery blocks
  • 13. Trigger automatic email notification to customer
  • 14. Update CRM ticket with new delivery commitment
  • 15. Log change history with reason code "SUPPLIER_ISSUE"
  • 16. Validate all mandatory fields are populated
  • 17. Commit changes with PATCH request
  • 18. Verify success response (HTTP 200) and retrieve updated order
  • ...and 127 more instructions covering error handling, retry logic, data validation, audit logging, etc.

✅ Validation Rules (Sample of 6 out of 58)

  • Order status must be "Open" or "In Process" before modification
  • New delivery date cannot be more than 90 days in the future
  • Split quantity must not exceed original order quantity
  • Customer credit limit must accommodate updated order value
  • Shipping point must be valid for new delivery date
  • Material availability must be confirmed at warehouse for new schedule
  • ...and 52 more validation rules ensuring data integrity

🔄 Rollback Procedure

If Step 1 fails:

  • 1. Capture error code and message from SAP response
  • 2. Revert EDATU back to original date (20260202)
  • 3. Restore original KWMENG (1200 units)
  • 4. Remove any added notes or shipping instructions
  • 5. Clear delivery priority flag
  • 6. Send alert to supply chain manager for manual intervention
  • 7. Log rollback event in audit trail
  • 8. Update order status to "Action Required"

🚀 This Level of Detail Exists for ALL 10 Execution Steps

Every single step has this same level of production-ready documentation:

  • ✓ Step 2: Material Master (ERP.MM) - 8 fields, 12 instructions
  • ✓ Step 3: Purchase Order (ERP.MM) - 7 fields, 15 instructions
  • ✓ Step 4: Warehouse (WMS) - 6 fields, 10 instructions
  • ✓ Step 5: Production Schedule (APS) - 5 fields, 18 instructions
  • ✓ Step 6: Transportation (TMS) - 7 fields, 11 instructions
  • ✓ Step 7: Customer Notification (CRM) - 9 fields, 14 instructions
  • ✓ Step 8: Financial Accounting (FI) - 8 fields, 16 instructions
  • ✓ Step 9: Shop Floor (MES) - 6 fields, 13 instructions
  • ✓ Step 10: EDI Updates (EDI) - 10 fields, 22 instructions

💡 Why This Matters

Most planning tools give you insights and recommendations, but stop there. SC Planner gives you the complete implementation blueprint. Your IT team can take these specifications and deploy integrations in days, not months. This is the difference between a planning tool and an execution platform.

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12 Advanced Features

Beyond the Core Workflow

🎯 Planning Tools Menu

Access advanced features via the "Planning Tools" dropdown menu in the header. These tools complement the 5-step workflow with additional planning and monitoring capabilities:

📅 Calendar View: Timeline visualization of deliveries and action deadlines
📊 Supplier Scorecards: Performance metrics for all suppliers
🔮 What-If Scenarios: Compare multiple strategies side-by-side
🎯 KPI Goals: Track progress toward targets
🔔 Custom Alerts: Threshold-based notifications
📜 Audit Trail: Complete action history with CSV export
💰 Cost-Benefit Analysis: ROI calculations for decisions
🔄 Data Sync Status: Monitor real-time data sources
🎲 Predictive Risk: ML-powered risk forecasting
💬 Order Comments: Collaboration and notes on orders
📊 Comparison Modal: Side-by-side order comparison
🚀 Action Execution: Batch actions on multiple orders

🔄 Real-Time Data Synchronization

The platform integrates with 8 enterprise systems, refreshing data every 30 seconds:

2,691
SAP S/4HANA Records
5,421
Manhattan WMS
1,712
Kinaxis APS
1,804
Oracle TMS

📊 Data Sync Status Panel

Monitor all connected systems in real-time with comprehensive data freshness tracking:

  • ✓ Live Timestamp Display: Exact time + relative time for each system (e.g., "05:51:22 AM • 2m ago")
  • ✓ Visual Freshness Indicators: Color-coded borders (green/blue/amber) based on data age
  • ✓ Record Update Counts: Track changes per sync cycle across all systems
  • ✓ System Health Monitoring: Real-time connection status with animated indicators
  • ✓ Latency Metrics: Response times and performance tracking
  • ✓ Historical Performance: Sync trends and reliability scores

👉 Explore More

Let's dive deeper into some key advanced features in the next slides...

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Calendar & Supplier Management

Timeline Visualization & Performance Tracking

📅 Calendar View

Visualize all deliveries and action deadlines in a comprehensive calendar interface:

  • Monthly & Weekly Views: Toggle between different time horizons
  • Color-Coded Risk Levels: Red (high), amber (medium), green (low) for instant identification
  • Action Deadlines: Blue badges indicate critical decision points
  • Click-Through: Click any calendar entry to open the full order detail modal
  • Navigation: Previous/next month controls with date indicator

📊 February 2026 Example

Feb 1 Order 2026001 - Original deadline (high risk)
Feb 2 Order 2026002 - Delivery commitment (high risk)
Feb 4 Orders 2026004, 2026010 - Multiple deliveries
Feb 6-8 5 orders on-track (low risk)

📊 Supplier Scorecards

Track comprehensive performance metrics for all suppliers:

Sample Supplier: XYZ Manufacturing

78/100
Risk Score
68.5%
OTIF Performance
12.4%
Defect Rate
7.7 days
Avg Delay
  • Recent Issues: 3 quality failures in past 6 months
  • Financial Impact: €450K in penalties from late deliveries
  • Trend: Performance declining (was 85% OTIF 12 months ago)
  • Action Required: Qualify alternative supplier for business continuity

Sample Supplier: ABC Corporation (Alternative)

23/100
Risk Score
96.8%
OTIF Performance
0.8%
Defect Rate
0.5 days
Avg Delay
  • Performance: Consistently excellent over 24 months
  • Capacity: Can handle up to 3,000 units/month
  • Cost: 8-10% premium over XYZ but superior quality
  • Recommendation: Increase volume to reduce dependency on XYZ

💡 Smart Sourcing Decisions

Supplier scorecards enable data-driven sourcing decisions. The system automatically flags high-risk suppliers and suggests alternatives with proven track records. This feature was crucial in our partial fulfillment strategy for Order 2026001.

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AI/ML & Automation Features

Predictive Intelligence & Smart Alerts

🎲 Predictive Risk Intelligence

Machine learning models analyze historical data to forecast potential risks:

87.5%
ML Confidence
94.1%
Prediction Accuracy
847
Training Scenarios
3-7 days
Forecast Horizon

🔮 What the AI Predicts

  • Delivery Failure Probability: 89% chance Order 2026001 misses deadline without intervention
  • Financial Impact Range: €228K-€378K potential exposure including penalties
  • Optimal Mitigation Strategy: Partial fulfillment with 95% success rate
  • Timeline Accuracy: ±12 hours on delivery predictions
  • Cost Predictions: ±5% accuracy on mitigation costs

🧠 ML Training Data Sources

The AI models are trained on:

  • ✓ 847 historical risk scenarios (resolved successfully)
  • ✓ 2,691 ERP transactions from SAP S/4HANA
  • ✓ 5,421 warehouse events from Manhattan WMS
  • ✓ 1,804 transportation records from Oracle TMS
  • ✓ Supplier performance data spanning 24 months
  • ✓ Weather, traffic, and external risk factors

🔔 Custom Alerts & Notifications

Configure threshold-based alerts for proactive monitoring:

Alert Configuration Options

  • OTIF Performance: Alert when < 75% (critical threshold)
  • Demand at Risk: Notify if exceeds €500K
  • Freight Costs: Alert on 20% month-over-month increase
  • Supplier Risk Score: Notify when score > 70/100
  • Order Urgency: Alert for orders with < 3 days to deadline
  • Quality Issues: Immediate notification on defect rate > 10%

Notification Channels

📧 Email notifications to stakeholders
🔔 In-app toast notifications
📱 Mobile push notifications (planned)
📊 Dashboard badge indicators

📜 Audit Trail & Compliance

Complete action history for regulatory compliance and internal audits:

  • Event Logging: Every action (commit, assignment, completion) logged with timestamp
  • Actor Tracking: Human, AI, or System - know who/what made each decision
  • CSV Export: Download audit reports with date range filtering
  • Historical Analysis: Review past decisions and outcomes
  • Compliance Reporting: SOX, ISO, and industry-specific requirements

⚡ Automation Benefits

87%
Time Saved
99.2%
Accuracy
5-8 min
BOT Execution
24/7
Availability

BOT workflows reduce execution time from 45-60 minutes to 5-8 minutes, with higher accuracy and zero human error. Perfect for high-volume, repetitive scenarios.

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Ready to Transform Your Supply Chain?

Summary & Next Steps

🎯 What Makes SC Planner Different

SC Planner isn't just another planning tool - it's a production-ready execution platform that bridges the gap between insights and action.

✅ What You've Learned

  • Real-Time Dashboard: Monitor critical KPIs with live data from 8 enterprise systems
  • Advanced Data Freshness Monitoring: Multi-layered system with visual indicators, live timestamps, toast notifications, and color-coded freshness levels
  • AI-Powered Risk Detection: 87.5% confidence, 94.1% prediction accuracy on delivery risks
  • 5-Step Resolution Workflow: From overview to execution in a structured, repeatable process
  • Production-Ready Specifications: 66+ database fields, 145+ instructions, 58 validations - deployment ready
  • Human vs BOT Workflows: Choose between manual oversight or full automation
  • 12 Advanced Features: Calendar, supplier scorecards, custom alerts, audit trail, and more

🌟 Key Differentiators

1 Complete ERP/WMS/APS Integration: Not just concepts - actual API endpoints and field mappings
2 Dropdown Specifications: Hidden feature with production-ready implementation details
3 Multi-Layered Data Freshness: Visual indicators, live timestamps, toast notifications, and color-coded freshness levels (green/blue/amber)
4 ML Predictions: 94.1% accuracy on delivery risks using 847 training scenarios
5 BOT Automation: 87% time reduction (45-60 min → 5-8 min) with 99.2% accuracy
6 Real-Time Sync: 30-second refresh across all connected systems

📊 Platform Statistics

12
At-Risk Orders
€487K
Demand Protected
8
System Integrations
17
AI Recommendations
10
Execution Steps
66+
Database Fields
145+
Instructions
12
Advanced Features

💡 Perfect For

  • Manufacturing Companies: Complex supply chains with multiple suppliers and plants
  • Supply Chain Teams: Planners, managers, and directors needing real-time visibility
  • IT Departments: Organizations wanting production-ready integration specifications
  • C-Level Executives: Decision-makers seeking ROI-driven automation

🚀 Experience SC Planner Live

Visit the live demo at https://kbscmdemo.org to:

  • ✓ Interact with the real dashboard and live data
  • ✓ Click through the 5-step workflow with actual order data
  • ✓ Open dropdown arrows to see production specifications
  • ✓ Explore all 12 advanced features
  • ✓ Take the interactive guided tour for step-by-step walkthrough
Launch Live Demo →

📧 Questions or Demo Request?

Contact the SC Planner team for:

  • Customized demo with your data
  • Integration feasibility assessment
  • ROI calculation for your organization
  • Proof of concept deployment

Thank you for exploring SC Planner!

Slide 14 of 14 - Complete!