List of papers, code and experiments using deep learning for time series forecasting

Machine Learning for Retail Sales Forecasting — Features Engineering

Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

Time Series Decomposition techniques and random forest algorithm on sales data

Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more

A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.

使用LSTM预测商品销量，考虑销量激增点影响

Consumer Buying pattern Analysis and Sales Forecasting using Artificial Intelligence.

Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions

DataCo SMART SUPPLY CHAIN FOR BIG DATA ANALYSIS

Exponential Smoothing, SARIMA, Facebook Prophet

Predicting the sales of a particular product in the year 2019 provided the sales of the same item from the year 2014-18. Improvements required(need some suggestions)

An example of multi-variate time-series prediction

Rossmann Store Sales Kaggle competition

MSc thesis about sales forecasting in high-dimensional contexts taking into account product relationships and promotions

This project aims to forecast the weekly sales of Walmart stores across the USA.

Example of Sales Forecasting

A project part of ACI AI/BI Team

Enable stakeholders with an engaging Power BI dashboard illustrating key e-commerce performance indicators and patterns. Evaluate sales data, predict forthcoming trends, and formulate knowledgeable approaches to foster business expansion.