Task 3 – Strategic plan for launching an online ordering system for restaurants from home

April 2, 2020 – April 6, 2020

Research and lots of reading

Online food ordering is not new, and online delivery apps have made ordering food even more seamless, faster, and convenient.

Thinknum.com

After a lot reading, I had a choice of doing a ‘deep dive’ into the UberEats, Grubhub, Doordash, Postmates.

  • Doordash – delay IPO?
  • Grubhub – SEC S-1; 350,000 restaurants in 3,200 cities; 500,000 daily orders; 22 million active users; $2.5 billion in total tips; $6 billion gross food sales in 2019.
  • Postmates – delay IPO? 500,000 restaurants, groceries, convenience stores in 3,500 cities.
  • UberEats – SEC S-1 on April 11, 2019: under Business section (220,000 restaurants in 500 cities)

I decided to do a ‘deep dive’ into the UberEats model. I also found the technology stack of Uber.

  • JavaScript
  • Python
  • Node.js
  • Redis
  • MySQL
  • MongoDB
  • React
  • Objective-C

Here is a complete technology stack of Uber.

UberEats app is both a restaurant aggregator and a delivery agent. Besides, UberEats app can:

  • recommend restaurants
  • have an advanced search filters
  • track orders
  • customizable delivery details

How does UberEats make money?

From the S-1 and my research, the company makes money three ways:

  • Delivery fee
  • Revenue sharing from restaurants
  • Advertising

Since you know about UberEats business model, I need to come up with something more than copying UberEats feature list and monetization model.