Causometrix

Causometrix is a comprehensive cloud-based platform designed for supply chain planning, focusing on crucial aspects such as demand management, inventory replenishment, and sales & operations planning. The application leverages an advanced AI and machine learning-driven demand forecasting engine that learns from historical data to optimize inventory levels and minimize excess stock. This platform is particularly beneficial for manufacturers, distributors, and retailers across various sectors, including industrial manufacturing, medical devices, and pharmaceuticals.

Key functionalities include:

• Management by Exception: Automatically identifies forecast exceptions using techniques like ABC Classification, allowing businesses to prioritize significant anomalies in demand forecasting.
• Statistical Forecasting: Utilizes a robust engine that combines multiple statistical models to enhance forecast accuracy, analyzing historical trends and seasonal patterns without overfitting.
• Causal Factor Analysis: Enhances forecast quality by incorporating external factors affecting demand, using correlation analysis to improve insights.
• Promotions and Events Planning: Utilizes historical data from past promotions to inform future inventory and forecasting decisions.
• Supply Planning & Inventory Replenishment: Focus on managing exceptions related to inventory levels and generating supply plans based on real-time data.
• Sales & Operations Planning (S&OP): Integrates financial analysis with capacity and resource planning to align operations with business goals.

Causometrix aims to transform organizations from reactive to proactive supply chain management, facilitating enhanced collaboration across functional teams and improving data analytics capabilities. With one of the shortest implementation timelines in the market, Causometrix strives to streamline planning processes, reducing the time spent on redundant tasks and improving operational efficiency.