CASE STUDY
Industry | Construction
Technology | AI/ML
Location | UK
Our client is a global leader in the construction chemical industry known for its innovative solutions and high-quality products. Committed to excellence, our client serves a wide range of construction projects worldwide, from commercial buildings to infrastructure developments. They need advanced tools and solutions to ensure optimal operations across their extensive network of manufacturing facilities and supply chains.
Manual cement formulation, leading to expensive trial & error.
Needed help coming up with the formulation solution.
Track the supply chain to adapt to the fluctuating availability of cement additives.
Needed to operate within strict cost limitations.
30-50%
Improvement in Operational Efficiency
20-30%
Savings in Additive Costs
Increased
Market Share & Competitive Edge
Created feature stores based on data extracted from data lakehouse.
Using regression techniques and models like XGBoost, Decision Tree, and Multi-Model approach.
Azure ML-based scalable and cloud-based CI/CD pipeline solution
Built intuitive dashboards and visualisation tools for stakeholders
Congratulations, and a big thank you to everyone who worked on the AI-cement formulation project and successfully implemented it. Our accumulated savings have been substantial, and we have advanced beyond the need to operate through trial and error.
$100,000 to $200,000
in Savings with Predictive Analytics
Audience
- Executives, CTOs, Director
- IT Consultants
- Business Analysts
- Project Managers
- IT Project Coordinators
- Architects and Specialists
