Optimizing operations and increasing the production of electric engines posed a significant challenge amid the growing shift toward electric vehicles. Enhancing process efficiency, reducing waste, and adapting to evolving market demands were crucial to meeting industry expectations and maintaining competitiveness.

A comprehensive supply chain assessment led to standardized processes for cost reduction. An AI-powered app was developed for defect detection, and machine learning was implemented for visual inspection, enabling real-time monitoring of rotor inventory using camera systems. This solution enhanced quality control, minimized waste, and improved production efficiency, ensuring the company could meet the growing demand for electric vehicles while optimizing overall operations.

Enhanced Quality Control: Custom AI model deployed on Anthos cluster detected defects, ensuring high-quality production.

Real-time Problem Recognition: Google Cloud Platform and AI swiftly identified assembly line issues, preventing errors.

Cost Savings: Millions were saved by reducing errors and waste, reallocating funds to R&D initiatives.

Increased Efficiency: Quick and efficient systems optimized processes, supporting development of electrical pumps.