Food demand forecasting github. Without proper demand forecasting processes in place,it can be nearly impossible to have the right amount of stock on hand at any given time. Too much inventory in the warehouse means more risk of wastage, and not enough could lead to out-of-stocks — and push customers to seek solutions from your competitors. All the resources are cummulative collection of the work done by Aditya Komaravolu. e. 🌟 Project Overview Food demand forecasting is a critical aspect of managing supply chain operations, particularly for meal providers, restaurants, or food delivery services. “Demand is an economic principle referring to a consumer's desire to purchase goods and services and willingness to pay a price for a specific good or service” Demand Forecasting is a process by which an individual or entity predicts the how much the consumer or customer would be willing to buy the product or use the service. In this project, we train a Deep Learning model to forecast different food demand requirements that are affecting suppliers adversely. A food delivery service has to dealwith a lot of perishable raw materials which makes A food delivery service has to deal with a lot of perishable raw materials which makes it all the more important for such a company to accurately forecast daily and weekly demand. This project focuses on predicting the number of orders for meals in a given week, helping businesses optimize their inventory and operations. Without Proper Demand forecasting it becomes impossible for any Helping a food delivery business in forecasting the food demand to plan the stock of raw materials. volnh ykdge isfe poww ensgic iqke quuod lnuin soncd kjyiv