Should-Cost Modelling

A data-driven view of what a product or service ought to cost

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Should-Cost Modelling

Turn cost complexity into cost clarity

Assessing whether a quoted price is reasonable requires an independent view of what the product or service in question costs to produce. That is what a should-cost model provides, and it underpins negotiation, savings identification, and sourcing location decisions.

Beroe’s should-cost models are built bottom-up, identifying the cost drivers of a product or service and combining them with current prices for feedstock, labor, energy, process, packaging and freight, before adding overheads and margin. The output is a price per unit, validated through expert inputs and built to your specifications, purchase volumes and geographies.

20+

Industries covered, including pharmaceutical, chemicals, packaging, electronics, automotive, and agro and food

3,000+

Categories

30+

Cost modelling experts, supported by 400+ category specialists

What our should-cost models cover

Full cost build-up

Identify the contribution of every driver, including raw materials, labor, energy, logistics, packaging and overheads, combined with current prices for feedstock, wages and benefits, energy, process costs, packaging and freight rates.

Multi-level BOM decomposition

Break assembled products down through multiple levels of the bill of materials to reach component-level costs.

Regional cost variation

Compare what the same product or service costs to produce across multiple geographies.

Scenario and sensitivity analysis

Test how the modelled cost responds to movement in individual drivers.

Make vs buy and TCO benchmarks

Model the cost of producing in-house against sourcing externally and build total cost of ownership comparisons.

18-month forward view

Link cost components to their underlying driver indices to project the price of a product or service 18 months out, refreshed monthly.
     

Three ways to get a cost model

Models generated on demand and enhanced via conversational AI interface on a client-specific instance, to help teams build cost models at scale, but at fraction of cost. Refine outputs through our Cost Assistant feature, upload your own cost data, and export the result.

AI output validated by Beroe’s cost modelling analysts using enhanced datasets, market sources, industry benchmarks, and supplier and expert inputs on specific cost elements.  

 

Validated models with each cost component linked to its driver index, giving an 18-month forward price. Connected to Beroe DataHub for a monthly refresh and delivered through Power BI or Inflation Watch.

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Why Beroe

Extensive experience in cost modelling

Extensive experience in cost modelling

Knowledge gained from delivering 10,000+ cost models over two decades provides significant expertise that helps deliver better results.

AI speed with analyst validation

AI speed with analyst validation

In-house AI cost modelling tools generate models in minutes. Beroe analysts validate them against internal datasets, market sources, and expert inputs.

Independent of the supplier's quote

Independent of the supplier’s quote

The model is built from the cost of producing what you buy, so it stands as an independent reference in a negotiation.

Confidentiality by design

Confidentiality by design

The AI tool runs on a separate instance for your organization, with its own hosting and processing capacity, so your specifications and volumes stay yours.

Engagement that fits the decision

Engagement that fits the decision

Three delivery options, from models generated in minutes to analyst-validated models refreshed monthly, so the depth matches what the decision requires.

Make Better Decisions, Faster

Request a demo to bring an independent cost view to your next sourcing decision.