salesanalyzer Python Package

About

A Python package designed to simplify retail sales data analysis for small to medium-sized businesses. This tool offers a set of pre-built functions that make it easy to identify market segments, predict future sales, and analyze seasonal revenue trends.

Why salesanalyzer?

Small to medium-sized businesses (SMBs) often lack the resources for in-house data teams or complex analytics tools. sales_analyzer is here to bridge that gap by providing easy-to-use, specialized functions that allow businesses to extract valuable insights from their sales data without requiring deep expertise in data science.

Key Benefits:

• Tailored for SMBs: No need for expensive or complex tools. Our package is designed specifically for small to medium-sized businesses to help them make data-driven decisions with ease.
• Easy-to-use functions: Simple, pre-built functions for common retail sales tasks so you can get started right away.
• Cost-effective: Instead of hiring a full-time data analytics team or paying for expensive software, this package offers an affordable, one-stop solution to meet your business’s analytical needs.
• Actionable Insights: Gain a better understanding of your market segments and sales trends, which can inform inventory management, marketing strategies, and customer outreach.

Functions

• segment_revenue_share: Segments products into three categories: cheap, medium, expensive, based on price, and calculates their respective share in total revenue.
• predictSales: Predicts future sales based on the provided historical data and the target.
• sales_summary_statistics: Calculates a variety of summary statistics that provide insights into overall sales performance, customer behavior, and product performance.

Contributors

Daria Khon, Yeji Sogn, Franklin Aryee