India’s leading energy company overcomes inventory challenges with data analytics

Are you an asset-intensive company facing inventory challenges?

You are not alone. Our customer, one of India’s largest energy companies, also faced challenges in optimizing their inventory levels.

Proactive inventory management was critical for our customer to ensure production continuity while controlling the inventory carrying costs.

However, traditional approaches in inventory management were ineffective in accurately estimating the economic order quantities (EOQ) and reordering points  (ROP).

As a result, our customer would often experience unplanned shutdowns resulting from inventory stockouts. Being in the energy sector, our customer would also experience bottlenecks in their global supply chains due to factors that were beyond their control.

These conditions made inventory optimization highly critical for our customer to ensure streamlined production lines and to reduce operating costs.

With the help of Saxon AI, our customer, India’s leading energy company, tapped into the potential of their enterprise data and transformed their inventory management.

What was the data analytics solution Saxon AI offered to the energy company?

How did we integrate the solution into their inventory management?

What were the results achieved?

This case study helps you find answers to all these questions.