科赛 携程出行产品未来14个月销量预测 第2名

使用LSTM预测商品销量，考虑销量激增点影响

上海市计算机应用能力大赛一等奖、中国大学生计算机设计大赛二等奖 本作品（i-car第三方个性化汽车定制平台）是基于随着社会生产力和科技水平的不断提高，消费需求正日益呈现个性化和多元化的趋势以及现有购车方式或平台不足以满足消费者需求的现状所提出的有效尝试与解决方案。本作品的C2B汽车个性化定制服务打破了传统的购车模式，填补了高端产品第三方定制平台的空白。根据用户信息，分析用户需求，分析出用户在选车、定制时的习惯与喜好，不断优化定制流程和产品，为用户提供更加智能化的选配体验。同时为商家提供销售数据便于商家进一步制定销售计划。 主要特色、功能在于模型展示；智能推荐；生成付款二维码；自动发送购车合同（以邮件形式）；动态的数据可视化；销量预测。

Final Year Project | BSc Computer Science - Sales Forecasting and Inventory Optimisation Web Application

With over 200 million users, MercadoLibre is the most popular e-commerce site in Latin America. Find out if the ability to predict search traffic can translate into the ability to successfully trade the stock.

Projeto Fictício de previsão de vendas com Machine learning

This project compares Holt’s Linear Trend, Holt-Winters Seasonal, and Damped-Trend Exponential Smoothing methods using Excel Solver to improve stock ordering accuracy for a supermarket. The combined forecast approach delivered the highest accuracy in reducing stockouts and inventory waste.

Retail sales forecasting with Python: EDA, feature engineering, baseline models, and machine learning forecasts.

This project aims to forecast weekly sales for Walmart stores using machine learning techniques. By analyzing historical sales data with store, department, and holiday information, we build models that predict future weekly sales with improved accuracy.

Multi-layer perceptron with one hidden layer, using the error back propagation algorithm/

This repository contains the codes of the Data Science em Produção. - By Meigarom

Iowa Liquor Sales Forecast Model