Driving 30% Better Forecast Accuracy with AI-Led Supply Chain Transformation
Overview
A global industrial gases company faced increasing complexity in managing demand across its supply chain. Variability in demand, combined with manual planning processes, limited the organization’s ability to respond efficiently. Applexus partnered with the company to build an AI-driven forecasting and planning solution, enabling more accurate, proactive, and scalable decision-making.
The Challenge
Demand for specialty gases such as Neon, Xenon, and Krypton fluctuated across regions and time periods. Planning relied heavily on historical trends and manual inputs, leading to inefficiencies across the supply chain.
This resulted in excess inventory in some locations, shortages in others, reactive production planning, and inefficient raw material procurement. The organization needed a more intelligent and forward-looking approach.
The Solution
Applexus implemented an AI-driven forecasting engine on Databricks. The solution analyzed historical data, trends, and patterns to generate accurate demand forecasts across products, locations, and time periods.
These forecasts were used to drive multiple planning functions, including inventory optimization, capacity planning, equipment allocation, and raw material procurement. The solution was delivered in phases, allowing the business to adopt capabilities progressively.
Industrial Gases AI Forecasting
Client
Global Industrial Gases Enterprise
Solution
AI Driven Forecasting and Supply Chain Planning on Databricks
At a glance
Applexus implemented an AI driven forecasting and planning solution to improve demand visibility across specialty gases operations. By analyzing historical trends and operational patterns, the platform enabled proactive inventory planning, optimized procurement decisions, and improved production planning. The organization gained faster access to insights, improved responsiveness to demand fluctuations, and achieved stronger supply chain efficiency across regions.
Business Impact
The transformation enabled a shift from reactive to proactive planning across the organization.
Forecast accuracy improved by up to 30 percent, providing a stronger foundation for decision-making. Inventory levels were better aligned with demand, reducing both excess stock and shortages.
Production planning improved with early visibility into demand fluctuations, while procurement decisions became more precise and cost-effective. Business teams gained faster access to insights, enabling quicker and more confident decisions.
Business Impact
- Shift to proactive planning across the organization
- Forecast accuracy improved by up to 30%
- Inventory aligned to demand reduced excess and shortages
- Stronger production planning with early demand visibility
- More precise procurement decisions driving cost efficiency
- Faster access to insights for quicker, more confident decisions
Why Applexus
Applexus combined expertise in AI, data engineering, and enterprise platforms to deliver a solution aligned with business outcomes. The use of a phased, MVP-led approach ensured faster realization of value while managing complexity effectively.
Conclusion
By introducing AI-driven forecasting and integrated planning, the organization transformed its supply chain into a more efficient and resilient system. The result was improved accuracy, reduced operational inefficiencies, and a stronger foundation for future growth.
