Case Studies

Supply Chain AI Transformation

Goal: Reduce operational costs and improve delivery efficiency through AI-powered route optimization and predictive analytics.

“AIRwelt.ai transformed our entire supply chain. The AI automation delivered results beyond our expectations.”

— Sarah Chen, CTO

Key Outcomes

Predictive Maintenance System

Goal: Implement IoT sensors and AI algorithms to predict equipment failures and optimize maintenance schedules.

“The predictive analytics solution saved us millions in prevented downtime. Exceptional enterprise understanding.”

— Marcus Rodriguez, VP Operations

Key Outcomes

AI Customer Service Platform

Goal: Deploy intelligent chatbots and automated support systems to improve patient satisfaction and reduce response times.

“From concept to deployment in just 8 weeks. The AI customer service system exceeded all expectations.”

— Dr. Amanda Foster, Head of Digital Innovation

Key Outcomes

Smart Manufacturing IoT Platform

Goal: Create connected factory ecosystem with real-time monitoring, predictive maintenance, and quality control automation.

“The IoT platform revolutionized our manufacturing process. Real-time insights are absolutely game-changing.”

— James Wilson, Manufacturing Director

Key Outcomes

Fraud Detection ML System

Goal: Develop advanced machine learning models for real-time fraud detection with minimal false positives.

“The ML fraud detection system caught 99.7% of fraudulent transactions while reducing false positives dramatically.”

— Lisa Thompson, Risk Management Director

Key Outcomes

E-commerce Personalization Engine

Goal: Build AI-powered recommendation system and personalization engine to increase sales and customer engagement.

“The personalization engine transformed our customer experience and drove incredible sales growth.”

— Michael Park, Head of E-commerce

Key Outcomes