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1、Table of ContentsHow AI Improves Business Forecast AccuracyDifference Between Forecasting&PredictiveModelingUse ases For Machine Learning Forecasting For BusinessFINANCIAL FORECASTINGSUPPLY CHAIN FORECASTINGPRICE PREDICTIONDEMAND&SALES FORECASTINGFRAUD DETECTIONKey Machine Learning Forecasting Algor

2、ithmsREGRESSION ALGORITHMSDEEP LEARNING ALGORITHMSTREE-BASED ALGORITHMSGAUSSIAN PROCESSESAUTO-REGRESSIVE ALGORITHMSEXPONENTIAL SMOOTHINGHow to Apply Machine Learning ForecastingChallenges of ML ForecastingBusiness forecasting is imperative for making balanced financial and operationaldecisions.Its i

3、mpact across industries has grown in recent years due to the waycompanies build data-driven strategies and rely on data.But lets find out what isneeded for efficient forecasting and why machine learning models have all theprerequisites for enhancing business intelligence.1In this article,well go ove

4、r the principles of ML forecasting functioning and thebenefits it can bring if used for business purposes.Also,we will highlight thedifferences between machine learning forecasting models,from regression toexponential smoothing.How AI Improves Business Forecast AccuracyThanks to forecasting,companie

5、s are able to better serve clients and shiporders,instead of running out of stock.This leads to a huge impact on sales andcustomer satisfaction.For example,knowing the demand brings an ability tomanage logistics and track inventory costs,or even predict ROI for a newproduct.Therefore,ML forecasting

6、models allow organizations to enhance theirAI maturity,and more importantly,to solve business tasks by looking at existingdata.Nowadays,the volume of data from markets,industries,and users isskyrocketing.FinancesOnline reveals that the world will produce and consume94 zettabytes in 2022.Such growth