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Comparison Analysis of FB Prophet, Amazon DeepAR+ and CNN-QR Algorithms for Sales Forecasting

Data Science Conference via YouTube

Overview

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Explore a 29-minute conference talk from Data Science Conference Europe 2022 that delves into the comparative analysis of three prominent forecasting algorithms - Facebook Prophet, Amazon DeepAR+, and CNN-QR. Learn how these algorithms optimize business processes and generate cost savings through effective time series data analysis and sales forecasting. Discover real-world applications and benefits demonstrated through a case study conducted at one of Bosnia and Herzegovina's largest retail companies, where these algorithms were tested in a production environment using actual sales forecasting benchmark data. Gain practical insights into the capabilities and performance differences between these popular forecasting models in a real-world retail context.

Syllabus

Comparison Analysis of FB Prophet, Amazon DeepAR+ & CNN-QR Algorithms | Emir Zunic | DSC Europe 2022

Taught by

Data Science Conference

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