Design a Smarter Supply Chain with Scenario-Driven Insights and a Living
Digital Twin
Explore what-if scenarios at speed, see your network as it truly operates, and build a supply chain that flexes with new markets, disruptions, and real-world complexity.
DISTRIBUTION NETWORK EVALUATION
Improve service levels while lowering distribution costs
- Run multi-scenario simulations to compare cost, service, and routing outcomes.
- Use digital twins to visualize current bottlenecks and hidden inefficiencies.
- Optimize warehouse-to-customer flows using AI-based routing logic.
- Identify cost-saving opportunities without compromising delivery speed.
OMNICHANNEL NETWORK ADAPTATION
Transform a brick-and-mortar network to support online demand
- Analyse current facility roles and identify where the network is under- or over-utilized.
- Model different demand patterns to see how the network performs under future scenarios.
- Test capacity, and flow adjustments to remove bottlenecks and improve throughput.
- Recommend structural changes that strengthen performance without major disruption.
ROUTE-TO-MARKET STRATEGY
Choose the most efficient way to move products to customers
- Compare direct-to-customer, CDC + RDC, and hybrid distribution models.
- Estimate cost, lead time, and capacity impact for each route-to-market flow.
- Use AI simulations to test disruption, demand spikes, or transportation delays.
- Recommend the most efficient flow structure based on cost-to-serve insights.
DC LOCATION & FACILITY PLANNING
Find the optimal DC location and define the right facility setup
- Evaluate potential DC locations using proximity, cost, and service-level criteria.
- Run network optimization models to determine ideal facility count and placement.
- Assess buy vs. lease scenarios with volume, cost, and future growth in mind.
- Define the right functions (storage, picking, cross-dock, returns, etc.) for each DC.
Explore real scenarios, test your network assumptions, and experience our optimization engine live.
Success Stories From Our Supply Chain Network Design Projects
Explore real projects where we used scenario simulation and network optimization to solve complex distribution, capacity, and location challenges.
How a Dairy Manufacturer Optimized Shift and Supply Planning with Sophus
Distribution Network Transformation: How Sophus Helped a Consumer-Goods Giant Modernize Its Supply Chain
Design, Test, and Optimize Your Entire Supply Chain Network with AI-powered Modeling and Continuous Digital Twin Visibility.
Identify the optimal locations and number of facilities using AI-driven optimization
Build accurate baseline models using automated data ingestion and constraint enforcement
Compare scenario outputs instantly to choose the best strategic and tactical options
Calculate the most efficient flows, modes, and costs across complex multi-echelon networks
Import, clean, and map complex ERP, WMS, and TMS data automatically
Use digital twins to monitor ongoing performance and detect risks before they escalate
Plug-and-play model migration from legacy tools for fast onboarding
Deploy securely with cloud-native architecture designed for scale and high-performance computing
Supported by expert network design consultants for smooth implementation
“We needed a scalable and reliable supply chain network design software to support a team of 30 people and handle hundreds of model runs daily. Sophus has proven to be the best solution, helping us generate hundreds of millions of dollars in value annually.”
Kyle | Director of Supply Chain Design Solutions, JD.com
Real Insights. Practical Guidance. Smarter Decisions.
Make Supply Chain Network Decisions With Confidence
Use advanced optimization and simulation to stay resilient, cost-efficient, and future-ready.