Project Overview
The Company:
Germany-based construction technology company
Industry:
Construction
Services:
Text Annotation
Business Needs
The client needed to enhance their construction leads data platform with high-quality, real-time data on construction projects. They aimed to share this data with Fortune 500 companies in the USA and Europe. The data, captured from various online sources, required accurate classification into segments such as property type, project timelines, location, size, cost, and construction phases.
To ensure data accuracy and completeness, the client partnered with Hitech BPO for verification, validation, and manual annotation of unclassified data.
The Challenges
- Comprehending and extracting relevant information from construction articles.
- Tagging or labeling the information based on categories like project size, phase, location, architects, and more.
- Handling large volumes of articles with a 24-hour timeline without compromising on quality.
- Training the workforce to comprehend data and validate auto-classified information.
Solutions and Results
Want to enhance AI algorithms efficiently?
Speak to us todayHitech BPO delivered a precise and effective solution tailored to the client’s needs:
- Conducted an in-depth project assessment to understand the client’s business needs, defining KPIs, SOPs, and other essential metrics.
- Provided domain and functional training for text annotators and quality check specialists, guided by the client.
- Gained access to the client’s auto-classified input data portal and manually verified and validated this data to ensure accuracy.
- Appended missing information to enhance the performance of future tools.
- Manually verified 20% of the articles that were too complex for auto-classification.
- Implemented a two-step quality check process for each batch of articles to ensure labeling accuracy.
- Successfully classified and labeled over 10,000 construction-related articles with a specialist team.
- Enhanced the accuracy of the AI algorithms, leading to better and more relevant search results for construction project data.
Business Impact
50% cost reduction on the project
Enhanced AI model performance
Actionable insights for the clients
