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

Sales forecasting system prototype w/ dashboard using SARIMAX model

This project performs time series analysis and forecasting of sales revenue using **moving averages** (3-day and 7-day windows). It also generates a clear line plot showing actual revenue and trendlines, then exports the full analysis and chart into an Excel file with image embedding.

Understanding how well a product that is published on the E-Commerce platform Wish is going to sell using Machine Learning.

A machine learning model for predicting future sales using historical data. Uses Linear Regression to analyze trends and forecast performance.

Retail-Forecast — tools, notebooks, and models for demand forecasting and time-series analysis 📈🧠 Designed for retail use-cases (sales, promotions, inventory) with reproducible pipelines and experiments 🛒🔁

Demand Forecasting with Quantile Regression Forest

End-to-end customer segmentation and sales forecasting project using machine learning

AI-powered supply chain optimization project combining MILP and neural network extensions for efficient bicycle production and inventory utilization.

End-to-end Sales Forecasting project using Time Series models and Streamlit

This project will involve building an advanced sales analytics dashboard using Google Looker Studio (formerly known as Google Data Studio). You will connect Looker Studio to a BigQuery database for large-scale data analysis, process sales data, and create insightful reports and dashboards.

Proyecto de análisis de datos para predecir las ventas de un supermercado. Utiliza Python (Pandas, Scikit-learn, etc.) para el procesamiento de datos y la construcción del modelo, y Power BI para un dashboard interactivo que muestra el rendimiento del modelo y explora los datos de ventas.

End-to-end AI Sales Forecasting system with MLflow, automation, and Streamlit UI

Forecast Rossmann store sales using machine learning and visualize trends with an interactive Streamlit dashboard.

ML-Based-Sales-Prediction-System

Proyecto de análisis de datos para predecir las ventas de un supermercado. Utiliza Python (Pandas, Scikit-learn, etc.) para el procesamiento de datos y la construcción del modelo, y Power BI para un dashboard interactivo que muestra el rendimiento del modelo y explora los datos de ventas.

Compact, reproducible POC for sales forecasting using gradient-boosted model

Sales Forecasting App