A data analytics project using Python, Excel, and machine learning to forecast retail demand and optimize inventory levels. Includes scalable ETL pipelines, advanced forecasting models, and interactive dashboards, with weekly updates to showcase progress and commitment.

This project is based on supply chain analytics along with demand forecasting and inventory management of the top selling product. Demand forecasting is done by using the prophet time series model. Also, the dashboard consists of all the important insights related to customers, products, orders as well as the forecasting outcomes.

Multi-store Demand Forecasting & Auto-Replenishment SaaS. A comprehensive retail inventory management system with intelligent demand forecasting, automated purchase order generation, and real-time analytics.

End-to-end retail analytics platform featuring sales aggregation, demand forecasting, price optimization, and an interactive Streamlit dashboard.

An AI-driven multi-agent system for retail optimization, automating inventory management, dynamic pricing, and demand forecasting using Llama 3.2-1b, reinforcement learning, and real-time analytics.

Explore my data science internship project focused on demand forecasting for a retail store. Discover predictive analytics techniques to optimize inventory management and enhance business decision-making.

This is a streamlit dashboard for supermarket sales analysis, client segmentation via KMeans and revenue forecasting with a linear regression algorithm. All dataviz were made with Plotly and Pandas.

Retail Analytics for Store Optimization and Demand Forecasting

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Integrated Retail Analytics for Store Optimization and Demand Forecasting Advanced Machine Learning

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An end-to-end demand forecasting and analytics project using Python, SQL, and PostgreSQL. Built with synthetic retail data to analyze category-level demand, forecast trends, and deliver insights via APIs and dashboards.

📈 Retail sales analytics project implementing RFM customer segmentation 👥 and statistical time-series forecasting models (Exponential Smoothing, SARIMA) 🧠 for demand prediction and business insights 📊.

AI-powered retail analytics platform for demand forecasting and customer segmentation using machine learning models. Provides insights for better inventory management. Tech: Python, TensorFlow, Pandas, Power BI

Retail Sales & Inventory Forecasting Capstone Full-spectrum analysis of retail data using Python (Pandas, Seaborn, Matplotlib), covering demand forecasting, performance diagnostics, and deep-dive analytics across BR1–11 and GAR1–11. Features clean, executive-ready visualizations and end-to-end insights—all versioned on GitHub.

Retail Analytics Consultancy Project: how a fashion retailer can leverage demand forecasting to enhance its supply chain and thereby improve its operational efficiency and boost the company’s profitability

Retail Customer & Sales Analytics — Full ML ecosystem with SQL + MongoDB data sync, KMeans/DBSCAN segmentation, sentiment NLP model, purchase & profit prediction, and Prophet/SARIMAX demand forecasting. Modular Flask APIs managed via a centralized Gateway API.

End-to-end retail supply chain analytics demo: generate dummy data, engineer features, train weekly demand forecast model, and optimize replenishment under budget using linear programming. Exposed via FastAPI service.

This project builds an end-to-end analytics pipeline to forecast retail demand and evaluate dynamic pricing strategies to maximize revenue. Using historical transaction data, the workflow predicts future demand, models price elasticity effects, and quantifies revenue uplift from dynamic pricing compared to static pricing.

Summary The global "Retail Laundry Services" analysis offers in-depth perceptions of the size of the market by product type, application, and end-user. Based on their expenses, gross margins, revenue, market share, income, goods, and other firm information, the top rivals in the global "Retail Laundry Services" market research are evaluated. The research offers a thorough analysis of the supply chain, global marketing, opportunities, risks, and demand variables in order to accurately predict the global "Retail Laundry Services" category. Additionally, a number of strategies—including expansion, collaborations, mergers and acquisitions, production base, key player analysis, and key player sales—have all been carefully looked at in this study. This study includes a thorough description of significant industry developments, requirements, and regulations as well as the micro and macroeconomic metrics used in this study. 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Similar to this, the global "Retail Laundry Services" market offers a thorough analysis of cutting-edge competitor research as well as emerging market trends with market drivers, constraints, challenges, and lucrative opportunities to provide accurate insights and the most recent information for well-informed decisions. By examining the competitive landscape of the leading players and supporting businesses in securing their share by being aware of the various growth plans, the global "Retail Laundry Services" market report also offers a comprehensive view of the global market. Free Sample Report + All Related Graphs & Charts @ https://www.adroitmarketresearch.com/contacts/request-sample/3281 Different market sizes have been forecasted for all categories and sub-segments using a bottom-up methodology based on previous and expected patterns. This study provides an overview of the industry, sales data from the past and the future, a growth analysis, statistics on costs, production, and demand, and a business prediction. The "Retail Laundry Services" research study examines the important industry dynamics and significant sub-segments. Likewise, from a market standpoint, the 'Retail Laundry Services' research includes each top supplier in the global market's share and production capabilities. Purchase the report at https://www.adroitmarketresearch.com/researchreport/purchase/3281 Key Points Covered in the Report: A thorough analysis of value and volume at the worldwide, sector, and regional levels is included in the global 'Retail Laundry Services' market report. The study offers a full business size 'Retail Laundry Services' from a global point of view through a review of past facts and possible scenarios. Geographically, the Retail Laundry Services of market analysis includes the number of regions and their contrast of revenue. The The market analysis focuses on ex-factory costs, output volume, market share & sales for every manufacturer on a company level basis. Key Reasons to Purchase this Report: A comprehensive study of market size, share and dynamics is a global 'Retail Laundry Services' market research report and a thorough survey of developments in the field. It offers an in-depth overview of revenue growth and an analysis of the total business benefits. In addition to the strategic landscape for commodity pricing and marketing, the 'Retail Laundry Services' industry research also provides key players. This is a new post covering the latest impact on the target market. The research report addresses the rapidly evolving market climate as well as the initial and future impact assessment. ABOUT US: Adroit Market Research is an India-based business analytics and consulting company. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a market’s size, key trends, participants and future outlook of an industry. We intend to become our clients’ knowledge partner and provide them with valuable market insights to help create opportunities that increase their revenues. We follow a code– Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps. CONTACT US: Ryan Johnson Account Manager Global 3131 McKinney Ave Ste 600, Dallas, TX 75204, U.S.A Phone No.: USA: +1 9726644514/ +91 9665341414

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This project provides hands-on experience in building a large-scale data processing pipeline for demand forecasting, customer sentiment analysis, and real-time analytics for a retail company. It integrates historical data analysis, real-time monitoring, and predictive modeling, creating a complex workflow.

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Retail Sales Analytics and Real Time Demand Forecasting

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End-to-end demand forecasting and retail analytics solution featuring data preprocessing, EDA, feature engineering, SARIMA & ML models (XGBoost), anomaly detection, and interactive dashboards with Tableau/Power BI for store performance optimization

This project performs an end-to-end retail analytics study on Walmart's multi-store weekly sales dataset spanning 2010–2012.

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