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The LSTM technique for demand forecasting of e-procurement in the hospitality industry in the UAE
IAES International Journal of Artificial Intelligence (IJ-AI)
The hospitality industry is growing at a faster pace across the world which has resulted in the accumulation of a huge amount of data in terms of employee details, property details, purchase details, vendor details, and so on. The industry is yet to fully benefit from these big data by applying ML and AI. The data has not been fully investigated for decision-making or revenue/budget forecasting. In this research data is collected from a chain hotel for advanced predictive analytics. Descriptivedoi:10.11591/ijai.v9.i4.pp757-765 fatcat:epcaxn2qurc7neojuunjnncmt4