We implemented a web scraping process.

Previsora S.A. is one of the leading entities in the Colombian insurance sector, with a wide range of products in general insurance, property, and personal insurance, and providing its services with a broad national presence.

About the client

Service

Insurance

Industry

Insurance

Location

Insurance

The project objective

The project's objective was to address the difficulty in identifying the tender processes of interest for PREVISORA S.A., which was hindered by the considerable volume of information published on various public tender websites.

The project solution and outcome

ADA implemented a web scraping process to extract data from public tender pages, along with the creation of a supervised machine learning model to classify relevant processes. As a result, the identification and effective loading of processes into the SALESFORCE platform were achieved. Additionally, a user interface was developed for process classification, serving as a basis for model retraining. This has led to a significant reduction in the time required to identify and track tender processes. Currently, the team is in the process of fine-tuning the artificial intelligence model in ADA's testing environment, with plans to deploy it in La Previsora's BETA environment in the near future.

At ADA, we provide technological solutions to companies.

We specialize in providing companies with personalized and efficient technological solutions. Our focus is on understanding the specific needs of each client and developing innovative solutions that drive their growth and success in the digital world.
  • Colombia, USA, and Ecuador
  • secretaria.bogota@ada.co

At ADA, we provide technological solutions to companies.