Supply Chain Value Creator is a premier consulting company with a proprietary cloud-based network design tool called Continuous Design
Overview Capabilities & Constraints Reports & Outputs Use Cases Solutions Guide

Real-World Use Cases

See how companies solve their toughest network challenges

From capacity planning to lane consolidation—real examples of how Continuous Design delivers results.

Use Case #1

Long-Term Capacity Planning

The Challenge

A mid-market company is experiencing 15% annual growth and needs to determine if their current 3-DC network can handle projected demand through 2028, or if they need to add facilities.

How to Model It

1. Upload current customer demand data
2. Add existing 3 DCs with capacities
3. Add potential new DC locations
4. Use demand multipliers for growth scenarios
5. Run optimization for each year

What You Get:

✓ Capacity utilization projections by year
✓ Optimal timing for 4th DC (if needed)
✓ Cost comparison: 3 DCs vs 4 DCs
✓ Service level impacts of each option
✓ ROI analysis for expansion
✓ Recommended facility location
⏱️ Time to Insight: 20 minutes
vs 2-3 weeks with traditional approaches
Use Case #2

Facility Location & Count Optimization

The Challenge

A consultant needs to determine the optimal number and location of DCs for a client expanding into the Southeast. Budget allows 2-4 facilities. Where should they go?

How to Model It

1. Upload customer demand for Southeast
2. Add 10-15 potential DC locations
3. Set capacity & cost constraints
4. Run greenfield optimization
5. Compare 2-DC, 3-DC, 4-DC scenarios

What You Get:

✓ Optimal DC count (cost vs service balanced)
✓ Specific city recommendations
✓ Cost savings vs current state
✓ Service level improvement projections
✓ Implementation cost estimates
✓ Client-ready PowerPoint presentation
⏱️ Time to Insight: 30 minutes
Compare 50+ location combinations in one session
Use Case #3

Peak Season Demand Planning

The Challenge

A company expects 40% demand surge during Q4 holiday season. Can their current network handle it? Do they need temporary capacity or overflow facilities?

How to Model It

1. Model base network with normal demand
2. Use demand multiplier: +40% surge
3. Add temporary 3PL capacity options
4. Test different overflow strategies
5. Compare costs vs service levels

What You Get:

✓ Capacity bottleneck identification
✓ Overflow facility recommendations
✓ 3PL vs owned capacity tradeoffs
✓ Cost of meeting 100% vs 95% service
✓ Peak staffing requirements
✓ Contingency plan scenarios
⚡ Instant What-If: Test demand +30%, +40%, +50% in seconds
No need to re-run—just slide the multiplier and see results
Use Case #4

Freight Lane Consolidation

The Challenge

A company has 150+ active shipping lanes with varying volumes. Many are LTL (expensive per unit). Which lanes can be consolidated to achieve FTL rates?

How to Model It

1. Upload all current lanes with volumes
2. Input LTL vs FTL cost differences
3. Set minimum FTL volume thresholds
4. Run flow optimization
5. Identify consolidation opportunities

What You Get:

✓ Lanes suitable for consolidation
✓ Annual savings projections
✓ Optimal carrier assignments
✓ Mode optimization (truck vs rail)
✓ Volume pooling opportunities
✓ Implementation roadmap
💰 Typical Savings: 12-18% in transportation costs
Identified in 15-minute analysis session

Other Common Projects

Continuous Design handles a wide range of network optimization challenges

DC Consolidation

Should we reduce 7 DCs to 4 larger ones? What's the cost vs service tradeoff?

Regional Expansion

We're entering 5 new states. Where should we place distribution centers?

Transportation Mode Mix

What's the optimal mix of truck, rail, and parcel for our network?

SKU Rationalization

Which products should be stocked at which facilities for optimal flow?

Service Level Optimization

Balance 2-day delivery zones with cost constraints—find the sweet spot.

3PL vs Owned Analysis

Should we use 3PL warehouses or open our own facilities? Run the numbers.

Ready to Solve Your Network Challenge?

Book a 15-minute demo to see how Continuous Design can handle your specific use case.

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