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United States · Private Equity Portfolio · Industrial Manufacturing
Spare-Parts Pricing Optimisation
PE-Owned Manufacturer of Access Equipment, US Installed Base
~85%
Of the installed base in the US, where pricing control is weakest
70%
Of US spare-parts revenue is dealer-driven
~40%
HQ-to-US transfer margin, repriced to market
10–14 wk
Diagnostic to implementation-ready, typical
The challenge
Spare parts are a high-margin pool, but pricing was misaligned with the market. A fixed transfer margin from HQ to the US business, cost-plus pricing to final customers with little market anchoring, and roughly seventy percent of revenue flowing through dealers left prices uncompetitive and margin on the table. Pricing ran on static lists with no segmentation.
Our approach
A diagnostic of price dispersion, discount leakage and SKU profitability. A value-based framework built on part criticality, availability and willingness to pay. Dealer and transfer-pricing governance. Then implementation: pricing tools and dashboards embedded in the CRM and ERP, with the sales team trained to run it.
Proven before
The method is drawn from delivered pricing transformations: a lifecycle-based parts-pricing framework for a Fortune 500 engine manufacturer, a value-led pricing overhaul for a roughly 330 million dollar manufacturer, and a tender-pricing recommendation tool with margin dashboards for a Power Systems division.
The approach, visualised
From cost-plus habit to value-based pricing
A diagnostic-led path that ends embedded in the CRM and ERP the team already uses, not in a slide deck.
1 · Diagnostic
Price dispersion across the installed base
Discount leakage versus list
SKU-level profitability
→
2 · Value-based framework
Cost-plus
Market floor
Value corridor
Critical premium
Corridors set by part criticality, availability and willingness to pay.
Benchmarked against the competitive set where data allows.
→
3 · Governance
Dealer pricing discipline, 70% of revenue
HQ transfer margin repriced to market
Discount-waterfall controls
→
4 · Embedded implementation
Pricing tools and dashboards in the CRM and ERP
Sales team trained to run it
Adoption tracked, not assumed
Typical path: 10 to 14 weeks from diagnostic to implementation-ready.
Read the complete case study
Full methodology, the diagnostic-to-implementation approach, the pricing tooling we build and embed, and how we have delivered it before.