Case study · Business intelligence

Volvo Intelligence Hub

This project turns disconnected sales and inventory data into actionable business intelligence. Designed as a simulated case for Volvo Trucks, the dashboard enables dynamic filtering, KPI tracking, and automated insights, all hosted via a browser-based interface built in Streamlit. Clear, functional, and decision-ready.

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Year

2017–2018

Client

Volvo Trucks

Role

Reporting Analyst

Stack

Python · Streamlit

Project context

Use case. Simulated insight solution for Volvo Trucks (2017–2018 sales data).

Role. Reporting Analyst (self-directed simulation).

Challenge. Inconsistent data across Excel files, lack of visual sales tracking, no unified KPI structure.

Goal. Build a lightweight browser-based tool that informs both sales performance and inventory risk.

What it does

i.Regional and annual filters, by model, year and category.

ii.KPI-driven insights with built-in logic for high-risk inventory.

iii.Visual comparison of sales volume vs stock levels.

iv.Auto-generated written insights, tailored to selected filters.

v.Accessible, interactive front-end built entirely with Python and Streamlit.

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