SAMS: Stock analysis and management system
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Updated
Aug 26, 2018 - TypeScript
SAMS: Stock analysis and management system
sales analysis project using PySpark provides valuable insights into customer behavior, sales trends, and product performance. These insights can inform strategic decision-making to enhance customer satisfaction, optimize marketing efforts, and improve overall business performance
This R script analyzes Michaels store traffic, compares it with competitors, and assesses market share. Explore proximity, sales trends, and demographic insights for strategic decision-making.
This is detailed that shows a business’s sales aaperformance, as well as customer data and generated aarevenue.
By aligning marketing efforts with customer preferences and desires, this approach promises to enhance market presence and drive substantial sales growth.
FastTrack Sales Forecaster leverages ARIMA models for advanced time series analysis in fast food sales. It efficiently predicts future trends from historical data, aiding in strategic planning and market analysis. This tool is essential for data-driven decision-making in the fast food industry.
TateoMerch is a web application built by Gino Tateo. The application started as a merchandising data analytics platform and evolved into ShipTeo a warehouse management system.
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