Scraping for a leading company in the production of commercial vehicles

Customer's Need

The client, a company in the transportation and logistics sector, faced the challenge of efficiently determining the optimal price for its vehicles, including trucks and trailers. With a constantly evolving market and numerous factors to consider, such as the year of production, brand, model, and vehicle conditions, the client needed an automated system that could provide daily market price data.

Implemented Solution

Crawling and Data Collection from Target Sites
We developed a crawling system capable of collecting daily data from the most important online ad aggregators specialized in the commercial vehicle sector. We were able to analyze truck photos using machine learning to identify and evaluate parameters not listed in the ads and the similarity between products when it was not possible to identify them from the data on the page.

Customized Interface and Data Analysis
Through an intuitive user interface, the client can easily access truck ads from different countries, compare available options, and analyze historical price changes. The platform also allows adding or removing trucks from the monitoring list according to the client's specific needs. The implementation of this solution provided the client with greater visibility on the prices of its fleet, composed of over 1000 trucks and trailers. Thanks to a robust data quality management system, the client was able to promptly react to any deviations, gaps, or anomalies in the collected data.