Case Study: Salvador Caetano achieves faster, more accurate used vehicle pricing with Devoteam's AI solution

Salvador Caetano cuts used vehicle pricing error to under 3% with Devoteam

Salvador Caetano, one of Portugal's largest automotive business groups, faced the challenge of needing to constantly update used car prices to remain competitive on digital platforms. Their traditional, manual process could not keep up with the required speed and data volume. They partnered with vendor Devoteam to develop an automated, accurate, and scalable solution for price forecasting.

Devoteam implemented a Machine Learning solution built on the Microsoft Azure cloud platform, which integrated services like Azure Synapse Analytics, Azure Data Factory, and Azure Machine Learning. This solution automated the core pricing process, delivering highly accurate and consistent forecasts with an average error of less than 3%. The results drastically reduced the time needed to update prices, enhanced the group's digital competitiveness, and provided new strategic business insights, ensuring seamless adoption by the teams.

Salvador Caetano