Coca-Cola Case Study
Demand Prediction with AI.
Coca-Cola Andina is one of the largest Coca-Cola bottlers in Latin America, operating in Chile, Argentina, Brazil, and Paraguay. With a focus on innovation and sustainability, the company is dedicated to producing, distributing, and selling Coca-Cola beverages, maintaining high standards of quality and operational efficiency. Its commitment includes resource optimization and adapting to the changing needs of the market to strengthen its position in the beverage industry.
The Project.
Coca-Cola required an advanced solution to accurately forecast the demand for its products, enabling them to optimize inventory and efficiently plan resources. The main need was to implement a predictive system that could analyze complex patterns, seasonality, and trends to improve their supply chain and operations.
Our Solution.
Coderio developed a predictive system using time series models and machine learning to identify trends and seasonality in Coca-Cola Andina’s demand.
The solution offers an accuracy rate of over 85%, enabling the forecasting of daily retail sales, production planning in manufacturing, and workforce optimization in services. Additionally, the system adapts to special events and is scalable, ensuring dynamic adjustments to business needs, maximizing operational efficiency, and reducing costs associated with inventory management.
