Uber Eats Dataset

Phone Number - The contact phone number for the venue.

• Phone Number - The contact phone number for the venue.
• Email Address - The email address, often used for initial contact.
• Official Website(s) - The URL of the restaurant's official website.
• Legal Organization Name - The legal name of the company operating the venue.
• Owner / Contact Person - The name of the owner or a key contact person.

Venue Type - The final, refined classification of the venue (e.g., Restaurant, Retail, Bar, Cafe).

• Venue Type - The final, refined classification of the venue (e.g., Restaurant, Retail, Bar, Cafe).
• Operational Status - Indicates whether the venue is open, temporarily closed, or permanently closed.
• Opening Hours - The venue's opening hours for each day of the week.
• Average Rating - The average rating given by users on a specific platform.
• Total Rating Count - The total number of reviews, which provides context for the average rating.
• Source-Specific URLs - Direct links to the venue's profile on specific platforms (e.g., Uber Eats, Wolt).
• Delivery Type - Specifies whether deliveries are handled by the platform or the venue itself (Marketplace vs. Platform).
• Product Categories - More detailed categories assigned to the venue, e.g., Pizza, Sushi, Burgers.
• Estimated Time of Arrival (ETA) - The estimated delivery time provided by the app, key for analyzing logistical competitiveness.

Base Price - The standard price of a product on the menu.

• Base Price - The standard price of a product on the menu.
• Sale Price - The product's price after a discount is applied.
• Delivery Fee - The basic fee for the delivery service.
• Delivery Fee After Discount - The delivery fee after a promotion is applied.
• Service Fee - An additional service charge added by the platform.
• Small Order Fee - A fee for orders that are below a certain value threshold.
• Other Fee Components - Other fee elements, such as a bad weather fee or a marketplace fee.
• Minimum Order Value (MOV) - The minimum order total required for a delivery, often dependent on distance.

Item Name - The name of the dish or product.

• Item Name - The name of the dish or product.
• Item Description - A marketing description of the dish.
• SKU / Item ID - A unique identifier for the product in the system.
• Menu Categories - Categories within the menu, e.g., "Soups," "Main Courses," "Beverages".
• Item Image URLs - Links to the photos of individual dishes.
• Missing Menu Descriptions - A flag indicating that a product is missing a description.
• Missing Menu Images - A flag indicating that a product is missing an image.

Promotion Details - Detailed information about active promotions.

• Promotion Details - Detailed information about active promotions.
• Standardized Promotion Types - Standardized promotion categories, e.g., "2 for 1" (2_FOR_1) or "delivery discount" (DELIVERY_DISCOUNT).
• Banner Promotions- Information on participation in banner promotions on the app's main page.
• Advertised Delivery Fee - A promotional, advertised fee for delivery.
• Sponsored Listings - Indicates whether a venue's position in a list is sponsored/paid.
• Subscription Plan Participation - Shows if a venue is part of a subscription program like Uber One or Wolt+.

Group ID / Cross-Platform Presence - A unique ID assigned to the same venue appearing on different platforms. This allows for analyzing where competitors are present.

• Group ID / Cross-Platform Presence - A unique ID assigned to the same venue appearing on different platforms. This allows for analyzing where competitors are present.
• Chain Identification - A flag indicating if a venue is part of a larger restaurant chain (e.g., McDonald's, KFC).
• QSR & Chain Coverage - Data on the market coverage of Quick Service Restaurants (QSRs) and chains, crucial for analyzing strategic partnerships.
• Delivery Zone / Radius - The area within which a venue provides delivery, allowing for analysis of competitor reach.
• Trending Restaurants - Identification of venues that are rapidly gaining popularity, for instance, through a fast increase in the number of ratings.