Login

Brownfield/ Greenfield Analysis Software

Know Exactly Where to Open, Close, or Consolidate a Facility

Sophus models geographic site selection, expansion, and contraction scenarios, so you know exactly where to open or close a facility before you commit real money to the decision.

Trusted by Growing Companies at Every Stage of Network Design Maturity

kitchen craft
good year
hisense
tompkins
grupo boticario
midea
Stop Basing Greenfield/Brownfield Analysis on Straight-Line Distances

Most Centers of Gravity Still End Up in the Middle of Nowhere

A straight line does not know what is underneath it. It cuts through lakes, mountains, and neighborhoods with no roads, and plenty of facility decisions get made the same way, fast, without checking what is actually on the ground.

A facility got added after an acquisition, a warehouse stayed open because closing it felt risky, and a distribution center is still sitting in a city that made sense five years ago but not today.

Signs You Need a Supply Chain Network Redesign

Entering a new market or region

Integrating a network after M&A

Under pressure to cut network costs without missing service targets

Sophus evaluates that footprint holistically, factoring in shipping volume, demand patterns, customer service requirements, and where future demand will actually land. Instead of guessing at what to open, close, or consolidate, you get a model that tells you.

Two Ways To Look At Your Network

Greenfield Analysis vs Brownfield Analysis

Sophus supports both from the same platform, so you are never locked into one lens on your network.

Feature

Greenfield Analysis

Brownfield Analysis

Focus:

Designing a new supply chain network from scratch
Designing a new supply chain network from scratch

Starting Point:

No existing facilities
Existing facilities already in place

Ideal For:

Businesses establishing a new network or expanding into new markets
Businesses looking to improve efficiency within their current network

Analysis Options:

Finding optimal locations for entirely new facilities
Evaluating existing facilities for relocation or consolidation

Key Factors:

Proximity to customers, transportation costs, infrastructure availability, demand patterns and forecasts
Location of current facilities, capacity and utilization, opportunities for consolidation or expansion

Data Required:

Customer locations and demand volumes
Existing facility locations, customer locations, and demand volumes
Who Actually Owns This Decision

A Facility Decision Rarely Has Just One Owner

Different roles come to a site decision with different questions. Find yours below.
Which One Sounds Like You?

Defending a Single Site

Sophus models every candidate site against real road distance and demand data, so you walk in with a recommendation backed by numbers, not a gut call.

Consolidating After M&A

Run brownfield consolidation scenarios across the combined network to see exactly which facilities to keep, close, or merge

Running This at Scale

Run the same greenfield or brownfield process across every client account, each one grounded in that client's own data, without a custom project every time.
Sophus X and Dastro

Facility Decisions Built on Real Roads and Actual Data

Real Road Distance, Not Straight Lines

Generic site selection tools calculate distance as a straight line between two points, which can recommend a location in the middle of a lake, a mountain range, or a national park with no road access.

Sophus calculates real road distance, so every recommendation reflects a route a truck can actually drive.

Two Ways to Run the Analysis

Choose Site-Based Analysis to find the optimal locations for a number of sites you already have in mind, or choose Service-Based Analysis to let Sophus determine the optimal number of locations needed to hit a specific service target. The same model can answer either question.

Build Scenarios Around What Actually Worries You

Set up what-if scenarios in plain terms, like comparing one greenfield site against two, or checking whether thirty percent of customer volume can be serviced within a five-hundred-mile radius.

Sophus runs the comparison and shows you the trade-off.

Feed It With the Data You Already Have

Import customer locations, demand volumes, and existing facility data through Dastro’s automatic connection to your ERP, or bring it in directly with an Excel import, so the analysis starts from your real operating picture instead of a blank model.

Real World Impact

What Happens When You Actually Model the Hard Call

Not every network question has a clean answer. Here is what happened when a real manufacturer asked Sophus to model one of the hardest calls in the book.

A U.S.-based manufacturer running two factories, one in Cleveland and one in Belleville, Illinois, considered closing the Cleveland plant and consolidating production into Belleville alone.

Sophus X modeled the full network, two factories, four distribution centers, and 98 customer locations, and compared total cost under both scenarios. Closing the Cleveland plant did reduce fixed costs, but the added transportation distance pushed logistics costs up enough to lower overall profitability 

From Raw Data to a Real Answer

How a Greenfield or Brownfield Analysis Runs in Sophus

01

Collect Your Data

Gather customer locations, demand volumes, and any existing facility locations. Sophus can generate site coordinates directly from a postcode or address, so you do not have to source coordinates by hand.

03

Set Your Analysis Parameters

Choose Greenfield or Brownfield, decide between straight line or actual road distance, and set whether you are solving for a fixed number of sites or a service level target.

05

Run the Analysis

Sophus processes the data and returns results, without the weeks of manual modeling a traditional center of gravity study usually takes.

02

Bring It Into Sophus

Import your data through Dastro’s automatic connection to your existing systems, or bring it in directly with an Excel import, so everything lands in the platform accurately.

04

Define Your Scenarios

Set up the specific what-if comparisons that matter to your business, such as one site against two, or a coverage radius against a service commitment.

06

Review and Act

Review the maps and dashboards, identify the strongest configuration, and bring the selected sites straight into Sophus for deeper network design work.

Typical Impact

What Getting This Right Is Worth

10-20%

Service Level Improvement

A facility footprint that actually matches where demand is today improves on-time delivery and coverage in the regions that need it most.

10%

Logistic Cost Reduction

Consolidating overlapping facilities and shortening the average distance to customers brings freight and handling costs down directly.

5-10%

Sourcing Cost Reduction

Better site placement relative to suppliers reduces inbound freight and sourcing cost alongside the outbound savings.

One Decision, Several Consequences

Getting the Site Right Sets Up Everything After It

A facility location is not a decision that stays in its own lane. The moment you lock one in, it becomes the starting point for cost, inventory, and routing decisions for years. Here is what that one choice feeds into.

supply chain network design

Supply Chain Network Design

Your new or consolidated site does not exist on its own. It becomes one node in the full network model, and every other facility gets reevaluated against it.

Cost-to-Serve Analysis

The site you choose sets your baseline cost to serve on every lane running through it. Model that impact by customer and product before you commit.

Multi-Echelon Inventory Optimization

Once a site is locked in, it needs a safety stock and replenishment policy of its own. Set that policy across every tier it feeds.

Transportation Optimization

Every route out of the new site still needs a carrier, a lane, and a schedule. Plan the freight network the location actually depends on.

Tariff Impact Planning

Where you place a facility changes what you pay on goods moving in and out of it. Test that exposure for each candidate site before you decide.

rapid-baseline

Rapid Baselining

You cannot measure what a new site improves without an accurate picture of what exists today. Baseline your current network first.

Verified By Gartner Peer Insights

What Verified Users Say on Gartner

4.8 ratings on Gartner Peer Insight

Common Questions

Greenfield and Brownfield Analysis FAQs

Do we need a data science team to use Sophus?

No. Sophus is built for supply chain teams, not data scientists. Most of our customers are running their first formal network design project and get productive without hiring additional technical staff.

How is Sophus different from hiring a consultant?

Consultants deliver an answer and then leave, often taking the knowledge with them. Sophus builds the capability inside your own team, so you can keep answering new questions long after the first project ends.

How long does it take to see our first model?

Most customers see a working baseline model within days of connecting their data, thanks to Rapid Baselining. A traditional manual build typically takes around 8 weeks.

Does Sophus replace our existing systems?

No. Sophus connects to your ERP and other systems through Dastro and works alongside them. You are not asked to rip out anything you already rely on.

What if we have never done formal network design before?

That describes most of our customers. Sophus is built specifically for teams building this capability for the first time, with guidance built into the platform rather than assumed prior expertise.

How does pricing work?

Sophus is priced as a predictable platform subscription, not hourly consulting fees or usage based solve pricing. Book a demo and we will walk through what fits your stage.

Know Before You Commit

Take the guesswork out of facility site selection

Book a demo and see how Sophus models real site decisions before the budget is locked in.