sales-forecasting

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

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

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

A stateless, open-source CRM built on Google Sheets

使用LSTM预测商品销量，考虑销量激增点影响

📦 AI-Powered Inventory Management System with LSTM predictions, real-time analytics, and beautiful dashboard

This project involves using multi-layer LSTMs to predict the sales problem.

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

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.

This project predicts the sales demand for various items in different stores based on historical sales data. The objective is to develop a machine learning model that can provide accurate forecasts for future sales of each store-item combination.

This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retailer. The goal is to build a model that accurately predicts the unit sales for thousands of items sold at different Favorita stores.

Consumer Buying pattern Analysis and Sales Forecasting using Artificial Intelligence.

Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions

End-to-end sales forecasting and XAI pipeline for weather-sensitive retail demand using PostgreSQL, dbt, FastAPI, and Streamlit.

Exponential Smoothing, SARIMA, Facebook Prophet

Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.

Reproducible Python time-series forecasting benchmark with walk-forward validation, leakage-safe backtesting, classical models, lag-based machine learning, tests, and CI.

AI-powered demand forecasting for Magento 2 — turn your sales history into per-product stock forecasts, with an optional AI layer (OpenAI, Claude, Gemini) on top of a free built-in statistics engine.