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Stock problems are often hidden inside spreadsheets until something runs out—or cash is tied up in items that are not moving.
I built this editable Excel inventory dashboard to provide a clear management view of:
• Total inventory value
• Items requiring reorder
• Recommended order quantities
• Slow-moving stock
• Excess stock
• Category-level value and exceptions
The reorder points, ageing thresholds, stock records and calculations remain fully editable. This is a working Excel tool, not a static mock-up.
If your stock reporting is manual, difficult to interpret or spread across multiple files, send me a message. I can review an anonymised example and suggest what could be improved.
This project focuses on analyzing and visualizing e‑commerce sales data using Microsoft Excel. I designed a dynamic dashboard that consolidates key business metrics such as total revenue (₹5,022,392), total orders (1000), average sales value, and total quantity sold.
The dashboard integrates multiple interactive charts and filters:
Product by Discount – highlights discount distribution across items.
City by Amount – compares sales performance across major cities like Bengaluru, Chennai, Delhi, Kolkata, and Mumbai.
State by Quantity – shows product demand across states (WB, TN, MH, KA, DL).
Payment Method Analysis – pie chart breakdown of Card, Cash, NetBanking, and UPI transactions.
With timeline filters and customer/product selectors, the dashboard enables flexible exploration of sales trends.
Key Skills Demonstrated:
Data cleaning and preparation
Pivot tables and advanced Excel formulas
Dashboard design with interactive filters
Business insights through visualization
Impact: This dashboard provides a clear, data‑driven view of e‑commerce performance, helping identify top‑performing cities, customer preferences, and payment trends for better decision‑making.
