Insurance Operations

Faster production cycles, reduced supply chain disruptions, and lower operating costs

Background

Electric vehicle (EV) demand is accelerating—but so are the complexities of production. From managing high-precision manufacturing to navigating global supply chain volatility, our client needed a smarter, more agile system to scale efficiently and maintain quality.

The Challenge

⚙️ Manufacturing inefficiencies, including bottlenecks, defects, and inconsistent process adherence

📦 Supply chain disruptions due to volatile raw material availability, long lead times, and limited visibility across suppliers

Traditional systems lacked the predictive intelligence and real-time decision-making needed to support their ambitious production goals.

The Solution

Azranta partnered with the client to implement a fully integrated AI-powered manufacturing and supply chain optimization platform, featuring:
🧠 Computer vision + ML for defect detection and quality control across robotic assembly lines
⏱️ Predictive maintenance on key manufacturing equipment to reduce downtime
📊 AI-driven supply chain forecasting, dynamically adjusting inventory and supplier orders based on demand, delays, and risk factors
🔁 End-to-end visibility with automated production planning, optimizing resource allocation across factories


What the Retail Chain Said

Azranta’s AI solutions didn’t just automate our operations—they gave us control.

This case shows how AI can move beyond efficiency—it becomes the nerve center of intelligent manufacturing. For EV makers, this means staying ahead of demand, maintaining quality, and building a smarter, more resilient production future.

20% faster production cycles across key EV models
40% reduction in unplanned maintenance incidents
Real-time supply chain optimization, cutting lead time volatility by 35%
Significant drop in production halts caused by part shortages or quality issues

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