Problem Statement
What this section answers
What business problem are we solving, and what questions will the analysis answer?
Why this matters for the rubric
Demonstrates understanding of business context — foundational for the conclusion and recommendations sections.
Business Context
FoodHub is a food aggregator connecting customers, restaurants, and delivery partners through a single smartphone app. The platform earns a margin on every confirmed delivery, so customer satisfaction, restaurant performance, and delivery efficiency all feed directly into profitability.
Business Objective
Analyze historical order data to understand restaurant demand, customer behavior, delivery performance, ratings, and opportunities to improve the customer experience and platform economics.
Key Business Questions
- 1.Which restaurants and cuisines are most in demand?
- 2.What drives customer ratings?
- 3.How do preparation and delivery times affect satisfaction?
- 4.Are there differences between weekday and weekend orders?
- 5.Which areas offer revenue growth opportunities?
- 6.What business recommendations should FoodHub implement?
Why this problem matters
This is not simply a food delivery dataset. It is an operational intelligence problem involving customer demand, restaurant performance, delivery efficiency, and platform profitability. Understanding the interactions between cost, time-to-deliver, and customer ratings is what turns raw transactions into actionable business strategy.
AI: Why this matters for FoodHub
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