Case study: AI-Powered Customer Insights & Data Strategy for a Global Manufacturer
Client: Global Industrial Equipment Manufacturer
Industry: Manufacturing & IoT
Challenge:
🚨 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.
Solution:
✅ 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✅ Implemented LLM-based AI algorithms (Random Forest, Decision Trees) to replace outdated scoring systems.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.