Case Study: Cargolux cuts quote time 75% with Conga Smart CPQ and Price Optimization

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Preview of the Cargolux Case Study

Cargolux cuts quote time 75% with Conga

Cargolux, Europe's leading all-cargo airline, faced the challenge of managing extraordinarily complex pricing for its air cargo services. With up to 60 distinct price points per commodity on a single route, manual processes led to slow quotes, revenue leakage, and an inability to respond dynamically to market fluctuations. To modernize these operations, Cargolux selected Conga Price Optimization and Management (POM) and Conga Smart CPQ.

By implementing Conga's solutions, Cargolux centralized pricing controls and automated updates with AI-powered guidance. This transformation resulted in a 75% reduction in average quote time, from 20 minutes down to just 5 minutes. The solution, deployed by Conga in 180 days, enabled the company to capture millions in additional annual revenue and extend dynamic, AI-powered pricing to its customer portal and external marketplaces.


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