SaaS scale-up in the construction industry
Client
The client in this success story is a founder of a SaaS scale-up in the construction industry. The company is looking to use data science to automate a laborious document data extraction process in order to improve the value of their service and make it more appealing to their target market.
Introduction
Enter Tilix AI, a consulting firm specializing in artificial intelligence and machine learning solutions for businesses. The client approached Tilix AI with the goal of finding a way to use data science to streamline their document data extraction process, and Tilix AI was eager to take on the challenge.
Challenge
The main challenge faced by the client was the manual nature of their document data extraction process. The process was time-consuming and prone to errors, which made it difficult for the company to offer valuable insights to their users. Additionally, the client was looking to cost-effectively improve the value of their service, which meant finding a solution that would not only streamline the process but also be cost-effective.
Action
Tilix AI began by working closely with the client to understand their business and the specific challenges they faced with their document data extraction process. After analyzing the client’s needs, Tilix AI developed a custom machine learning solution that automated the process of extracting data from documents.
The solution was designed to be highly accurate and efficient, allowing the client to extract data from large numbers of documents in a short amount of time. Tilix AI also worked with the client to integrate the solution into their existing systems and processes, ensuring a seamless transition to the new method.
Result
The results of the project were impressive. The machine learning solution developed by Tilix AI was able to significantly streamline the client’s document data extraction process, allowing them to extract data from large numbers of documents in a fraction of the time it had taken before. This allowed the client to offer more valuable insights to their users, improving the value of their service and making it more appealing to their target market.
Additionally, the solution was cost-effective, allowing the client to improve their service without incurring significant additional expenses. Overall, the project was a resounding success, and the client was extremely satisfied with the results achieved by Tilix AI.
Conclusion
In the end, Tilix AI was able to help the client achieve their goals of using data science to automate their document data extraction process and improve the value of their service. The custom machine learning solution developed by Tilix AI was able to significantly streamline the process and provide cost-effective results, leading to a successful project for both the client and Tilix AI.