AI article
DineIQ Analytics – TechWiz Data Science Arena | Team NN-Azm (Hunain, Anas, Ishraq, Ammar)
Community description: 1. The Business Problem A restaurant chain produces data every minute: orders, order...
Dev.to | Sep 28, 2026 | hunain siddique
Automated excerpt
Integration: PySpark and Spark SQL joins connect orders with customers, order items, menu items, categories, locations and promotions, and connect menu items with pricing history, ratings, inventory and wastage. Menu-item features: item revenue, cost, contribution margin, profit percentage, popularity, order frequency, repeat-purchase rate, average rating, rating trend, wastage percentage, promotion dependency, discount percentage and price-change percentage. Low Performer: weak demand or profit, heavy wastage or poor ratings. 10.
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