Inspiration
I wanted to understand how coupon strategies impact business profitability across different markets and product categories.
What it does
Analyzes sales data from 4 countries (India, USA, Germany, UK) to identify profit drivers, measure coupon effectiveness, and generate AI-powered business recommendations.
How I built it
Built entirely on Zerve using Python (pandas, matplotlib), with the Zerve AI Agent writing and optimizing the analysis code automatically.
What I learned
Coupons increase average profit per order by 13%. Electronics dominates with $52,566 total profit. India is the strongest market.
Challenges
Mapping column names dynamically to work with any dataset structure.
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