| dc.description.abstract | Effective management of perishable inventory presents a significant challenge for
businesses like coffee chains. This thesis explores the use of demand forecasting techniques
and inventory optimization to minimize waste and maximize profitability. The study
proposes a system design that leverages Time series forecasting techniques for accurate
demand forecasting of perishable coffee products. The system then utilizes the FEFO (First
Expired, First Out) policy for inventory management, recommending optimal order
quantities based on the forecasts. The proposed approach offers several benefits: reduced
spoilage of perishable products, improved profitability through minimized waste and
optimized ordering, enhanced customer satisfaction via consistent product availability, and
data-driven decision making for inventory management. | en_US |
