Challenge
Client is a medium-sized company that specializes in the production of automotive parts. The company was struggling to keep up with demand, and they were looking for ways to improve their supply chain efficiency. They decided to turn to AI-based data analytics to help identify bottlenecks and inefficiencies in their operations.
Solution
TechElligence AI implemented an AI-based data analytics platform that analyzed data from multiple sources within the company, including production data, sales data, and supply chain data. The platform used machine learning algorithms to identify patterns and trends in the data and provide insights into areas of the supply chain that could be improved.
Results
The AI-based data analytics platform helped the client to identify several areas of the supply chain that were causing delays and bottlenecks. For example, the platform revealed that the company was using an inefficient routing system for transporting parts between warehouses, which was causing delays. By implementing a new routing system, Our Client was able to reduce transport times by 25%. Additionally, the platform identified that the company was experiencing a high rate of defects in one of its production lines, which was causing delays. By implementing quality control measures, XYZ Manufacturing was able to reduce defects by 50%.
Overall, the use of AI-based data analytics helped them improve the efficiency of their supply chain and increase their production capacity. The company was able to meet increased demand and improve customer satisfaction as a result.
