Digital Should Cost Model

Use our Digital Cost Model Tool to move beyond static spreadsheets and guesswork. Get a live, production-ready view of what a product should cost, how each input contributes, and where negotiation levers sit across suppliers, processes, grades, and regions.

About Our Tool

The Digital Cost Model offers a clear view of how supplier prices are built, converting engineering and financial inputs into interactive cost breakdowns. It supports should-cost analysis, scenario comparison, and stronger negotiation decisions.

About Our Tool

Bring clarity to production costs— compare scenarios, validate suppliers, and drive stronger cost decisions with one unified digital model.

  • Full Cost Breakdown

    Clear visibility across all cost components

  • Historical Cost Progression

    Track cost movements over time

  • Sensitivity & Scenario Analysis

    Test assumptions and cost drivers

  • Editable Simulator

    Adjust inputs and recalculate instantly

  • Multi-Product & Process View

    Compare products, grades, routes

  • Global Cost Benchmarks

    Evaluate costs across regions

  • Digital Repository & Version Control

    Centralized, auditable cost models

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What Procurement Teams Gain
  • Transparent, production-grade should-cost models for priority categories
  • Stronger negotiation positions with defensible cost breakdowns
  • Faster pricing decisions when markets move
  • Shared view of costs across procurement, finance, operations, and leadership
  • A living cost repository instead of scattered spreadsheets and email threads
Dashboard Example

Case Studies

Chemical Manufacturer

Strengthening Negotiation Control Through Should-Cost Intelligence

A specialty chemical manufacturer lacked clarity on how supplier prices were constructed across key raw materials, limiting negotiation effectiveness. Procurement Resource developed a Digital Cost Model covering 10 materials, including Ammonia, Caustic Soda, Soda Ash, Sodium Sulphate, and Phosphoric Acid. The model detailed cost structures across raw materials, energy, labour, overheads, and CAPEX, enabling accurate should-cost analysis across suppliers and regions. This supported stronger negotiations and improved cost control across critical chemical intermediates.

Chemical Manufacturer

Our Methodology for Building Digital Cost Models

We follow a structured approach so that every digital cost model is reliable, repeatable, and easy to maintain.

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01

Data Collection & Structuring

Data is sourced from ERP systems, contracts, technical documents, and market databases, then standardised into a unified cost structure.

02

Process Mapping

Manufacturing routes, material usage, utilities, and site overheads are mapped to reflect real plant operations.

03

Cost Model Development

Costs are calculated using engineering logic and market inputs, with assumptions kept transparent and traceable.

04

Validation & Refinement

Outputs are validated against historical costs and supplier quotes to improve accuracy.

05

Digital Deployment & Enablement

The model is deployed into interactive dashboards, enabling scenario analysis and ongoing updates.

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What They Say About Us

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Frequently Asked Questions