Sophus Cost-to-Serve
Sophus Cost-to-Serve: Granular cost-to-serve modeling for supply-chain profitability decisions. Ranked #20 of 33 in Profitability Management Software by our editors (7.4/10); pricing: Pricing on request; best for supply-chain teams measuring SKU and order costs.
At a glance
- Editor score7.4 / 10
- PricingPricing on request
- Best forSupply-chain teams measuring SKU and order costs
- Free planNo
- Allocation engineYes
- Facts checked29 Sep 2026
Where it wins
- Allocates costs across suppliers, plants, distribution centers, and customers
- Analyzes cost and margin at SKU, customer, and order levels
- Models network scenarios and updates costs as transactions and rates change
Where it doesn't
- Pricing requires contacting sales
- No free plan is offered
- Support is provided through email
Our verdict on Sophus Cost-to-Serve
Sophus Cost-to-Serve is profitability management software for organizations that need end-to-end supply-chain cost visibility. It traces costs across supply sources, production, distribution, and customer orders, then allocates fixed costs into variable components by product path. Teams can analyze cost and margin across SKU, customer, order, channel, region, supply source, and product dimensions. Cloud and self-hosted deployment options, with hybrid deployment in the category specification, suit mid-market and enterprise supply-chain teams evaluating pricing, service tiers, and network decisions.
Its standout capability is granular, changing cost-to-serve analysis. The system tracks bills of materials, transaction time, and location data to SKU and order level, while continuously updating models as transactions, lanes, and rates change. Network scenario modeling covers events such as facility closures and disruptions, giving planners a way to compare structural changes before acting. Sophus also automates extraction, cleaning, and transformation of ERP and financial data, reducing the manual preparation needed for these analyses.
Ecosystem fit is centered on operational and financial systems: Sophus lists ERP systems, financial data, warehouse management systems, and transportation management systems as integrations. The product runs on the web and supports cloud or self-hosted deployment, with email as the listed support channel and ISO 27001 as its compliance signal. Pricing uses a contact-sales model, and there is no free plan. Supply-chain teams that need detailed allocation, scenario analysis, and enterprise data connectivity should consider it; organizations seeking transparent self-service pricing or broader support channels may prefer another option.
Sophus Cost-to-Serve pricing
Sophus Cost-to-Serve fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Allocation engine | Yes |
| Cost-to-serve analysis | Yes |
| Analysis dimensions | SKU, customer, order, channel, region, supply source, product |
| Data source connections | ERP systems, financial data, WMS, TMS |
| Deployment | Hybrid |
| Scenario modeling | Yes |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | ISO 27001 |
| Support | |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 4 integrations: ERP systems, Financial data, Warehouse management systems (WMS), Transportation management systems (TMS) |
| Pricing | Pricing on request |
| Website | sophus.ai |
| Facts checked | 29 Sep 2026 |
Sophus Cost-to-Serve integrations
Sophus Cost-to-Serve lists 4 integrations on its own site.
- ERP systems
- Financial data
- Warehouse management systems (WMS)
- Transportation management systems (TMS)
Alternatives to Sophus Cost-to-Serve
- Oracle Cloud EPM Profitability and Cost ManagementA cloud tool for tracing complex cost allocations and comparing profitability scenarios.9.3
- CCH TagetikA broad FP&A suite for structured planning, consolidation, and enterprise reporting.9.0
- SAS Profitability ManagementDetailed cost-to-serve and profit modeling for mid-market and enterprise teams.8.9
See all Sophus Cost-to-Serve alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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