This multinational technology company is one of the largest of its kind in the world and is listed on the Fortune 500. It serves a global customer base in 180 countries and has extensive R&D and manufacturing operations worldwide.

CHALLENGE
‍

A multinational technology company struggled to optimize inventory and consistently meet on-time delivery targets.

Demand planning processes were fragmented and inflexible, with data siloed across products and planning locations. This limited visibility into demand patterns and made it difficult to respond to variability, resulting in inefficiencies across inventory and fulfillment operations.

• Siloed data across products and planning locations
• Time-consuming, manual forecasting processes
• Inflexible systems unable to adapt to changing demand
• Limited visibility into inventory and demand signals
• Inconsistent performance in on-time delivery

SOLUTIONS
‍

Aligned Automation implemented a demand forecasting MLOps framework integrated with intelligent inventory planning to enable real-time visibility and proactive decision-making.

The solution unified data across the organization, applied machine learning models to improve forecast accuracy, and introduced automated workflows to continuously optimize inventory levels.

By connecting forecasting with execution, teams gained the ability to anticipate demand shifts and act before disruptions occurred.

Key capabilities included:

• MLOps-driven demand forecasting for continuous model improvement
• Integrated inventory planning for end-to-end visibility
• Unified data foundation to eliminate silos
• Real-time insights and recommendations for proactive decision-making
• Scalable architecture to adapt to changing business needs

What Changed
‍

Planning and inventory operations shifted from reactive and fragmented to predictive and connected.

The organization achieved a 10% improvement in on-time delivery, an 18% increase in forecast accuracy, a 12% reduction in excess and obsolete inventory, and a 15% improvement in overall operational efficiency, enabling more agile and reliable supply chain performance.

‍