Toll Group was suffering from pricing inconsistency and margin erosion across business units. We delivered a diagnostic, workshops, and algorithmic pricing strategy to recover profit and align national pricing governance.

Pricing Insight reviewed commercial practices and developed a customer-level optimisation model for Toll. The published model estimated A$8.39m of year-one EBIT improvement, rounded to A$8.4m.
Toll’s current website describes logistics, transport and supply-chain services. Present-day information does not establish the historical ownership or operating structure of the business units assessed.
Cost-plus rates, inconsistent major-account decisions and weak agreement boundaries made network value and service requirements difficult to price consistently.
Pricing Insight assessed commercial practices, reviewed agreements and rate cards, facilitated value-discovery workshops and developed customer-level pricing recommendations. Pricing roles, approvals and agreement structures were also addressed.
The financial headline is a modelled year-one result. It is not evidence of realised earnings or risk-free margin improvement.
The public source does not disclose the complete modelling assumptions or a realised reconciliation. Operational improvement claims require separate baseline evidence and are not used to convert the forecast into an achieved financial result.
Relevant capabilities: Cost to serve and profitability (Pr), Price modelling (Pm), and Value-based agreements (Va). The mapping is retrospective.
Model the economics of each service and account, and distinguish pricing potential from realised benefit.
Current context: Toll Group, reviewed 24 October 2026. Contact Pricing Insight.