Z-Dash project Udacity Product Management Nano Degree

1. Gen Z Delivery Management
Product Owner: Ruthy Lichtenstein

2. Background ● Fast, robotic delivery
● 100% remote troubleshooting
● Extensive reporting
● Sustainable delivery solution
● People-first
Gen Z Delivery Management

3. Business Case

4. Initial Focus
• Creating a live dashboard that will serve as the main
management tool for restaurant staff and Doordash managers
who are using Z-dash to manage bot deliveries
• Acquiring trust of business owners by allowing them to
participate as delivery operators for other restaurants,
Providing self-troubleshoot tools.
• Provide extensive reports for restaurant managers
as well as Z-dash managers.
4

5. 5
Opportunity
By the end of the next decade, I believe that it will be
more effective—in terms of time, cost and effort—to
order literally any type of food one desires and have it
delivered to your doorstep by drone/robot, rather
spend another tedious evening sweating it out in the
kitchen. But then again, you just might not have a
kitchen to cook in any more.
Viroop Narla, author of "Future of Global Online Food Delivery Services Market"

6. 6
Opportunity
200B
Estimated market value
for food delivery apps
60%
Estimated deliveries
within 4 mile radius
120B
Delivered by a bot
within 10 years
=
Forbes Sep 2019

7. 7
Opportunity
Restaurant Dive
19%Annual Growth Rate
Need an outstanding
management system
x 3Robot Delivery
By 2024

8. Proposal
8
Proposal
Managers can view their bots on a live map
and are alerted about issues within seconds
Reporting: provide reports for restaurants:
View delivery times, qty, and income from outsourced
Restaurant owners can operate their leased robots
for deliveries of other restaurants as well
Reporting: provide reports for Doordash about the
performance of bots and comparison to humans

9. Proposal
9
Proposal
Vast self-diagnosis and remote access tools
for managers when troubleshooting a stuck bot
IT team escalation: after performing self-diagnosis
and testing, a failed test creates an automated ticket
Show users the savings (and how much the
restaurant is making) on bot VS human
Allow people around the bot to assist for a free
delivery, if needed (example: move the bot to corner)

10. 10
ROI
Revenue Streams:
● Bot leasing
Including 1 user for admin system
$399 per month
● Additional admin users
$15 per month
● Pay per delivery = for all deliveries
$1.99 per order paid by end user
$930 average restaurant will pay per month
(2 bots, 2 admin users, ~50 deliveries)
Build Estimation:
● 5 months to market
● Team of 10 people
● Total of $313,000 in salaries
● Total of $18,000 for technical tools
● Bot leasing: $99 each (*1,000)
$430,000
With 500 restaurants using the 1,000 bots,
we’ll cover building costs within 1 month!

11. 11
ROI
Revenue Streams:
● Bot leasing
Including 1 user for admin system
$399 per month
● Additional admin users
$15 per month
● Pay per delivery = for all deliveries
$1.99 per order paid by end user
$930 average restaurant will pay per month
(2 bots, 2 admin users, ~50 deliveries)
Ongoing Costs:
● Team of 20 people
● Total of $120,000 in salaries
● Total of $4,000 for technical tools
● Bot leasing: $99 each (*1,000)
$223,000
240 average restaurants = break even

12. 12
ROI
61% ROI for first year
Building Costs
Before launch
Monthly Costs
For 7 months
Annual Revenue
500 average customers * 7 mo
460k3.25M 1.56M- ( )+ 1.23M=
Total Investment
First year
2.02M

13. 13
ROI
108% ROI for monthly ops
Monthly Costs
After launch
Monthly Revenue
500 average customers
223k465k -
242k=
223k

14. • Sell leasing agreements of at least 1,000 robots
• Deliver at least 85% of deliveries on time
• Handle 80% of the issues within 1 hour
• Handle 90% of the issues without IT escalation
• Partner up with at least 500 restaurants
• Increase brand satisfactory score by 10%
(Right now, many are upset about the restaurant’s small cut)
14
Measurement

15. Competitors
© 2019Udacity. All rights reserved.

16. Starship Robots
16
➔ Leading the market for robotics food delivery
➔ Raised 82.2M so far (Series A)
➔ 250 employees
Key Features:
● Excellent machine-learning
system allowing the robot to
function safely
● Sleek design
● Capacity: 10kg (22lb)
● 4-mile radius
● 6 wheels to provide
maximum accessibility
● Safe and secure - you need
to scan a code to open it
● Operating their own
food delivery app

17. Kiwibot
17
➔ Raised seed round only
➔ 50 employees
➔ Feels like a “real start-up” ● Excellent machine-learning
system allowing the robot to
function safely
● Special corner-recognition
allowing users to tag objects on
the way & help with recognition
● 2-mile radius
● Capacity: 7kg (15lb)
● Safe and secure - you need to
scan a code to open it
● Requires human interaction
Key Features:

18. 18
Our Advantages
➔ We can use both as resources!
➔ Z Dash provides a management system, tailored to robotic team needs
➔ Extensive remote troubleshooting
➔ Extensive reporting for all levels: end users, mid level & C level
➔ New stream of income for restaurants, delivering food for others

19. Roadmap and Vision
© 2019Udacity. All rights reserved.

20. 20
Roadmap Pillars
Map-based Dashboard
Customized for different user types
We’re building the delivery management system of the future.
Mobile-first is so 2019, we’re going for people-first, via robots.
Build a Relationship
With restaurant staff and customers
Remote troubleshooting
Initiating tasks remotely & IT escalation

21. Where everything happens live, and the view is tailored to your needs
© 2019 Udacity. All rights reserved.
Map-based Dashboard
21
Icon size varies based
on trip length
(larger = longer trips)
Customizable color
system to categorize,
and easy display for
dispatch operation
Trip attributes
available on click:
- Order number(s)
- Total cost
- Estimated arrival
- Battery life
- Error details

22. Give users the IT power to solve issues on their own. Escalate when necessary
© 2019 Udacity. All rights reserved.
100% Remote troubleshooting
22
Handling issues:
Alert shown to manager,
directs to live
troubleshooting.
Build a ticketing system
that redirects the user
to troubleshoot on their
own in a few clicks.
If error comes back,
escalate to IT.

23. Give users the IT power to solve issues on their own. Escalate when necessary
© 2019 Udacity. All rights reserved.
100% Remote troubleshooting
23
Escalating issues:
After the user tried the
required troubleshooting
steps, if an error comes
back an automated task
opens for IT to handle
ASAP
Z-dash will provide
another carrier for a
stuck delivery if needed.

24. Where everything happens live, and the view is tailored to your needs
© 2019 Udacity. All rights reserved.
Map-based Dashboard
24
Z-dash managers need
a different layer of
information on the map.
The customized stats
pop-up includes issues
and total quantities.
The trip details include:
- Restaurant name
- Order number(s)
- Total cost
- Estimated arrival
- Food type
- Battery life
- Error details
- Error History

25. Create a positive relationship between humans and robots
© 2019 Udacity. All rights reserved.
Build a relationship
25
Restaurant Owners:
We’ll provide value in:
- Extensive reports
- Comparison reports
- Savings reports
And additional value:
- New revenue stream
- Ability to offer free
bot delivery for
some customers

26. Create a positive relationship between humans and robots
© 2019 Udacity. All rights reserved.
Build a relationship
26
Performance reports
will help restaurant staff
analyze trends and
adjust internal SOPs to
improve them.

27. Create a positive relationship between humans and robots
© 2019 Udacity. All rights reserved.
Build a relationship
27
New revenue stream:
Restaurant can provide
delivery services with
their leased bots.
The system will show
the manager which bots
are available for the job
and what’s the new
expected return time,
So they can make their
decision in seconds

28. Create a positive relationship between humans and robots
© 2019 Udacity. All rights reserved.
Build a relationship
28
End-user is pushed to
use bots by promoting
the most important
factors:
- $$ savings for the
user (if any)
- Delivery speed
- Pay difference to
restaurant

29. 29
Where do we go next?
Make the map smarter
Collect traffic reports and issues from other bots
We’re building the delivery management system of the future.
Some of the things we’ll use weren’t invented yet!
Deepen the Relationship
Add voice messaging: Bot to Human