Coffee Shop Sales Analysis

Problem Statement

Coffee shops face challenges in understanding daily sales patterns, identifying top-selling products, and managing inventory efficiently. Without clear insights, they risk overstocking or understocking items, missing out on peak-hour opportunities, and failing to optimize store performance.

Project Goal

Develop an interactive dashboard to analyze sales trends, monitor product performance, and evaluate store-wise revenue, enabling better operational and marketing decisions.

Key Features

• Sales trend analysis by day, week, and month

• Product category and item-level performance tracking

• Store location comparisons based on revenue and sales volume

• Peak transaction time identification for staff and resource allocation

• Filters for product category, store location, and date ranges

Outcome

• Increased operational efficiency by aligning staff schedules with peak sales hours

• Improved marketing targeting through product popularity insights

• Reduced wastage and stockouts via data-driven inventory planning