EOQ-BASED INVENTORY OPTIMIZATION FOR SOCIAL MEDIATRENDING REAL-WORLD PRODUCTS USING HEPTAGONAL FUZZY NUMBERS AND AI FORECASTING

This study explores the collected information of real -world case as example to obtain
predictable demand in advance, combining fuzzy inventory modeling and AI and Fuzzy EOQ
(Economic Order Quantity), Heptagonal Fuzzy Number to represent uncertain demand values for
prior prediction of unexpected demand surges. The case consideration of Trending Matcha tea, a
globally trending product is taken as example to demonstrate the effectiveness of the integrated
model. This is the hybrid framework to optimize inventory control under complexity that integrates
Fuzzy logic- to manage uncertainty and Artificial Intelligence (AI) to forecast demand patterns
based on real –time Data streams