Case Studies / Selected Case
AI-Powered Customer Insights & Data Strategy
Context
Client: Global Industrial Equipment Manufacturer
Industry: Manufacturing & IoT
Challenges
- Fragmented data across IoT, customer, and warranty databases, limiting actionable insights.
- Inefficient manual processes, slowing audience segmentation and engagement.
- Lack of scalable AI-powered models for predictive analytics and customer journey optimization.
Solutions
- Designed and deployed an AI-driven data platform integrating IoT, customer, and warranty databases.
- Implemented LLM-based AI algorithms (Random Forest, Decision Trees) to replace outdated scoring systems.
- Established a 360° customer view, enabling predictive insights and improved decision-making.
- Enhanced security protocols to protect sensitive customer and IoT data.
Results
- +35% improvement in predictive accuracy for customer engagement.
- -40% reduction in manual data processing time.
- +20% increase in marketing campaign efficiency through AI-powered audience segmentation.