UberEats Overview and Outlook

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1 UberEats Overview and Outlook Keith Cochrane, Operations Lead UberEats Toronto March 1, 2017

2 1 The Uber Story 2 Uber Everything 3 UberEats Mission 4 Operations 5 The Future

3 The Idea The App The First Weekend

4 Transportation as reliable as running water for everyone everywhere

5 GLOBALLY M+ Millions Countries Cities Driver Partners of Rides a Day CANADA Montreal November 2013 Ottawa October 2014 Quebec City February 2015 Calgary October 2015 Toronto March 2012 Halifax June 2014 Edmonton December 2014 SW Ontario (London, Guelph, Hamilton, Waterloo) July 2015 Ontario (Kingston, Windsor Niagara) November 2015

6 From Uber Rides to Uber Everything

7 Early Forays into Food Delivery Instant Eats! Lunch only food delivery service launched across US/Canada in 2015 Eaters select food from a curated list with 3-5 options per day Delivery drivers would pick up meals from restaurants or distribution sites Meals would be delivered in <10 minutes

8 Challenges of Instant Eats Model Difficult to scale Logistically intensive Challenging economics The last instant meal was delivered in August 2016

9 New UberEats Launches in Toronto! Toronto became launch city for stand-alone UberEats app in December 2016 Started with ~100 restaurants in downtown Toronto many who had never done delivery before Leveraged existing network of ride-sharing partners to deliver meals Why go to a restaurant when the restaurant can come to you

10 First Toronto Then the world 20 Countries Daily UberEats Trips 50+ Cities 25k+ Restaurant partners

11 Our mission Make eating well effortless at any time, for anyone

12 Quality Temp control Restaurant selection Nutrition info Dish search Smart recommendations Flawless deliveries Our mission Make eating well effortless at any time, for anyone Speed Scheduling Operating hours Accurate ETAs Low cost More cities Dietary restrictions

13 Trends shaping the future The Labor The Food Eating Restaurants Landscape System More recreational More convenient More competitive and Truth & transparency More informed More affordable flexible Nimble supply chain More curated Closing the food gap Less homemade Less waste More healthy

14 The Future of Food: No more boring food Any bite, anytime Eating is data driven Restaurants put delivery first Farm-to-table scales Dishes go viral

15 UberEats Customers Three-sided marketplace Eaters Restaurants Delivery Partners

16 The Anatomy of a Delivery Trip The never-ending search for efficiencies 1. Delivery partner accepts trip and travels to restaurant 2. Delivery partner picks up food from restaurant 3. Delivery partner travels from restaurant to eater 4. Delivery partner drops off food to eater

17 Batched Orders The uberpool of UberEATS Deliver more orders with the same number of delivery partners We batch orders together to increase the productivity of our delivery partner network Delivering thousands of meals each day is a real life example of the vehicle routing problem (VRP)

18 How do we make batching decisions? By balancing all sides of marketplace Two Meals Give to two drivers? Driver 1 Driver 2 Give to one driver? Driver 1 Variables to consider include food quality; additional delivery time; additional waiting time; time saved; order size; order locations; delivery speed; etc.

19 The end result

20 The Future of Uber Everything

21 The Future of Uber Everything

22 The Future of Uber Everything

23 Thank you Keith Cochrane Operations Lead, UberEats Toronto Proprietary and confidential 2016 Uber Technologies, Inc. All rights reserved. No part of this document may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage or retrieval systems, without permission in writing from Uber. This document is intended only for the use of the individual or entity to whom it is addressed and contains information that is privileged, confidential or otherwise exempt from disclosure under applicable law. All recipients of this document are notified that the information contained herein includes proprietary and confidential information of Uber, and recipient may not make use of, disseminate, or in any way disclose this document or any of the enclosed information to any person other than employees of addressee to the extent necessary for consultations with authorized personnel of Uber.

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