/FAASO_SQL_ANALYSIS_PROJECT

Rebel Foods, formerly known as Faasos, is a renowned food delivery company in India. It originated as a restaurant chain but transitioned into an online platform. Rebel Foods is known for providing affordable meals, a wide variety of cuisines, and prompt delivery services. They operate numerous brands and leverage technology to enhance the overall

FAASO_SQL_ANALYSIS_PROJECT

Faasos, now known as Rebel Foods, is a well-known food delivery company that primarily operates in India. It was established in 2011 and initially started as a quick-service restaurant chain specializing in wraps and fast food items. As the demand for convenient food options grew, Faasos transformed itself into an online food delivery platform.

The company gained popularity by introducing the concept of "wraps on wheels" and gradually expanded its menu to include a wide range of Indian and international cuisines. Faasos focused on delivering tasty and affordable meals with efficient delivery services.

In addition to operating its own kitchens and delivery fleet, Faasos partnered with local restaurants to offer an even broader selection of dishes. By utilizing technology, they streamlined the ordering process, enabling customers to conveniently place their orders through a user-friendly mobile app or website.

Faasos experienced significant growth and secured funding from various investors, which allowed it to expand its operations across multiple cities in India. To reflect its broader vision of becoming a global cloud kitchen network, the company rebranded itself as Rebel Foods.

Today, Rebel Foods operates several brands, including Faasos, Behrouz Biryani, Oven Story, and Mandarin Oak, among others. These brands cater to different culinary preferences, offering a diverse range of cuisines and food options to customers. Rebel Foods has revolutionized the food delivery industry in India by leveraging technology, innovation, and a vast network of cloud kitchens, providing a seamless and enjoyable dining experience for its customers.

In this Fassos Analysis Project I have solved Business Problems --

** ROLL_METRICS **

  1. HOW MANY ROLLS WERE ORDERED?
  2. HOW MANY UNIQUE CUSTOMER ORDERS WERE MADE?
  3. HOW MANY SUCCESSFULL ORDERS WERE DELIVERED BY EACH DRIVER?
  4. HOW MANY OF EACH TYPE OF R
  5. OLL WAS DELIVERED?
  6. HOW MANY VEG AND NON VEG ROLLS WERE ORDERED BY EACH CUSTOMER?
  7. WHAT WAS THE MAXIMUM NUMBERS OF ROLLS DELIVERED IN A SINGLE ORDER?
  8. HOW MANY ROLES WERE DELIVERED THAT HAD BOTH EXCLUSIONS AND EXTRAS?
  9. WHAT WAS THE TOTAL NUMBER OF ROLLS ORDERED FOR EACH HOURS OF THE DAY?
  10. WHAT WAS THE NUMBER OF ORDER FOR EACH DAY OF THE WEEK?

** DRIVER AND CUSTOMER EXPERIENCE **

  1. WHAT WAS THE AVERAGE TIME IN MINUTE IT TOOK FOR EACH DRIVER TO ARRIVE AT THE FASSOS HEADQUARTERS TO PICK UP THE ORDER?
  2. IS THERE ANY RELATIONSHIP BETWEEN THE NUMBER OF ROLLS AND HOW LONG THE ORDER TAKES TO PREPARE?
  3. WHAT WAS THE AVERAGE DISTANCE TRAVEL FOR EACH CUSTOMER?
  4. What was the longest and shortest deilivery times for all orders?
  5. WHAT WAS THE AVERAGE SPEED FOR EACH DRIVER FOR EACH DEILIVERY AND DO YOU NOTICE ANY TREND FOR THIS VALUES?
  6. WHAT IS THE SUCCESSFUL PERCENTAGE FOR EACH DRIVER?