Pizza Order No-Shows

Requirements Clarification & Assessment

Objective:

• Develop a predictive model to foresee pizza order no-shows.

Key Questions:

1. Scope: Are we predicting for a specific location or all restaurants under the franchise?
2. Order Process: How do customers place orders (online, call, in-person)?
3. Definition of No-show: What constitutes a no-show (e.g., time window post order placement)?
4. Data Availability: What data is available regarding past orders?
5. Customer Interaction: Are payments made before or after pickup?
6. Delivery Options: Is there a home delivery service, or is it strictly pickup?

Data Collection:

• Order Data: Order type, cost, time, and mode (pickup/delivery).
• Customer Data: Demographics, order history, location.
• Environmental Data: Weather conditions, day of the week.

Challenges:

• Data acquisition and integration.
• Handling of unbalanced datasets.
• Model adaptability to new data.