Back to Supply Chain Control Tower View Capability Diagrams

Supply Chain Control Tower

End-to-end supply chain visibility with predictive risk alerts achieving 70-85% reduction in disruption impact and 40-60% improvement in on-time delivery through proactive intervention.

Business Outcome

time reduction in dashboard setup and integration (from 3-6 months to 1-3 months).

Complexity:

Medium

Time to Value:

3-6

Why This Matters

What It Is

End-to-end supply chain visibility with predictive risk alerts achieving 70-85% reduction in disruption impact and 40-60% improvement in on-time delivery through proactive intervention.

Current State

(Traditional)

1. Supply chain manager tracks shipments manually: logs into 5 different systems (supplier portal, carrier tracking, warehouse management, customs, ERP). 2. Critical shipment from China delayed at port, manager discovers 3 days later when supplier sends email notification. 3. Manager scrambles to find alternatives: calls supplier, expedites air freight ($20K premium vs normal ocean), informs sales team of stockout risk. 4. Production line stops 2 days due to missing parts (delayed shipment), $200K revenue loss from production downtime. 5. Customer orders delayed 1 week, penalty fees $50K per contract terms, customer satisfaction declines. 6. Manager reviews supply chain health weekly in spreadsheet: manually compiles data from 5 systems, 4-6 hour weekly task. 7. Disruptions discovered reactively (after already occurred), limited time to mitigate impact.

Characteristics

• SAP ERP
• Tableau
• Power BI
• MuleSoft
• Informatica

Pain Points

⚠ Data Silos: Difficulty in integrating data from isolated systems.
⚠ Manual Data Entry: Reliance on Excel leads to errors and delays.
⚠ Lack of Real-Time Visibility: Batch updates result in outdated information.
⚠ Alert Fatigue: Overwhelming number of alerts can lead to missed critical notifications.
⚠ Integration Complexity: Challenges in connecting legacy systems with modern analytics tools.
⚠ Limited Predictive Capabilities: Traditional dashboards focus on historical data rather than forecasting.

Future State

(Agentic)

1. Supply Chain Control Tower integrates all data sources: supplier systems, carriers, warehouses, customs, weather, port congestion, geopolitical risk. 2. Agent detects risk 7 days ahead: 'Critical shipment from Shanghai delayed - port congestion forecast 5-day delay based on vessel AIS tracking and port authority data, production line impact predicted Nov 15 if not mitigated'. 3. Agent recommends alternatives: 'Option 1: Expedite air freight ($18K cost, delivery Nov 12), Option 2: Source from backup supplier Mexico ($5K premium, delivery Nov 14), Option 3: Reallocate Inventory Management from warehouse B to cover production (no cost, partial coverage)'. 4. Manager selects Option 2 (backup supplier), agent orchestrates: creates PO, notifies supplier, schedules freight, updates production plan. 5. Shipment arrives Nov 14 (1 day before production need), no production downtime, $195K loss avoided ($200K downtime - $5K supplier premium). 6. Agent monitors 10,000 shipments continuously, predicts risks 7-14 days ahead (vs 3-7 day reactive discovery). 7. 70-85% disruption impact reduction, 40-60% on-time delivery improvement (85-92% vs 70-75%).

Characteristics

• Supplier order and shipment data (POS, ASNs, invoices)
• Carrier tracking (vessel AIS, flight tracking, truck GPS)
• Port congestion and customs clearance data
• Weather forecasts and natural disaster alerts
• Warehouse Inventory Management levels and capacity
• Production schedules and material requirements
• Supplier performance history (lead times, quality, reliability)
• Geopolitical risk feeds (strikes, regulations, trade restrictions)

Benefits

✓ 70-85% disruption impact reduction ($5K cost vs $200K loss)
✓ 7-14 day advance warning (vs 3-7 day reactive discovery)
✓ Proactive mitigation (backup supplier sourced before stockout)
✓ 40-60% on-time delivery improvement (85-92% vs 70-75%)
✓ Automated risk monitoring (10,000 shipments vs manual 50)
✓ Alternative recommendations (air freight, backup suppliers, inventory reallocation)

Is This Right for You?

39% match

This score is based on general applicability (industry fit, implementation complexity, and ROI potential). Use the Preferences button above to set your industry, role, and company profile for personalized matching.

Why this score:

• Applicable across multiple industries
• Higher complexity - requires more resources and planning
• Moderate expected business value
• Time to value: 3-6
• (Score based on general applicability - set preferences for personalized matching)

You might benefit from Supply Chain Control Tower if:

You're experiencing: Data Silos: Difficulty in integrating data from isolated systems.
You're experiencing: Manual Data Entry: Reliance on Excel leads to errors and delays.
You're experiencing: Lack of Real-Time Visibility: Batch updates result in outdated information.