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MoveBot Video
MoveBot
A.I. based full solution allowing
autonomous picking and placing for
ecommerce and logistics warehouses
A software layer for industrial
robot arms to pick and place
random objects
Target market Interviews
B2B: Warehouse Automation 114
PhD Mech Eng.
MS École Centrale
eboigne@stanford.edu
MBA GSB
BCG/Uber/IIT
ssankhla@stanford.edu
Visiting Prof.
PhD Eng. MIT
whitebl@stanford.edu
MBA GSB
E.Eng.UT Houston
rzhong0@stanford.edu
MSx GSB
MS CMU-RI
puneetp@stanford.edu
Controls Optimal Control RoboticsConsulting Logistics
Emeric
Boigne
Ray
Zhong
Surabhi SankhlaBrian White Puneet Puri
Team
Why Do
it?
Research
Breakthroughs
AI for
grasping
Dataset
available in 2017
6.7m
Grasps
Unfulfilled
need
Amazon
picking
challenge
Diverse team passionate about cool tech
WEEK
INTERVIEWS
0
Our Journey
0
First canvas
Key Partners
Robot arm
manufacturers
Cost Structure
Software development cost
Labor cost
Key Activities
Software R&D
Sales & BD
Aftersale Support
Domain knowledge
Key Resources
Software Simulation
Tool
Value proposition
Enable multiple use of
existing robotic arms
Cost saving
Efficiency increasing
Customer segments
E-commerce player:
such as Amazon and
Jet.com
WEEK
INTERVIEWS
0
Our Journey
0
Revenue Streams
Subscription/ licensing revenue / profit sharing
Customer
relationships
With e-commerce
players
Channels
Direct Sales
Nuclear power
Manufacturing
Waste management
Mining
Oil and gas
Agriculture
Medical
Assistance
Food processing
Warehouse & Logistics
Start of Journey
Warehouse
& Logistics
Warehouse
Picker Station
Manufacturing
Waste management
Warehouse & Logistics
WEEK
INTERVIEWS
0 1
0
Our Journey
12
Amazon interviews:
Automate picker station in
warehouse (FC)
High pull from the industry
Our in-house consultant:
‘Guys, narrow down industry!’
Criteria: Size vs Feasibility
Business Model Canvas Customer Segments
Customer feedback:
Since main income is
from govt., willingness to
adopt is low
Challenges faced by warehouses
1
Revenue loss due to packaging mistakes2
Labor Shortage during peak capacity3
Repetitive actions leads to injuries
Picker Station
WEEK
INTERVIEWS
0 1 2
0 12
Our Journey
Cost: ~$4.5 Million/ warehouse
(based on Amazon internal data)
23
=
A.I software for robot arms to pick and place random
objects
WEEK
INTERVIEWS
0 1 2
0 12
Our Journey
23
Warehouse Software
Movebot’s A.ICloud
Robot Control
Value proposition
1 Cost reduction with fewer errors
2 Ability to handle peak capacity
3 Safer work environment
Business Model Canvas Value Proposition
More Deployment → More Data→ Better A.I.
Additional value created : $2m
$2.5m solution for 20 stations pays for itself < 1 yr ROI
based on Amazon internal budget
Our first big “aha” moment!!
$3.5B Revenue
Top 5 robot Manf.
“The challenge is finding where to pick ..
.. the robot can do the rest”
“You are onto a big industrial problem”
Application Engineer, KUKA
“7 out of 10 sales people say bin picking biggest problem”
Business Dev. Manager, KUKA
“Can we have an exclusive partnership with you?”
Business Dev. Manager, KUKA
WEEK
INTERVIEWS
0 1 2 3
0 12 23
Our Journey
35
MVP - Proof of Concept
Given 3D image of any random object the deep neural network predicts where to grasp
trained 6.7m grasps from Dex-net 2.0 dataset
WEEK
INTERVIEWS
0 1 2 3 4
0 12 23 35
Our Journey
51
Grasp Points
Using Dex-net 2.0
Automation industry is complex!, how can we
reach?Oh Damn!
Tomorrow is last
day of expo you
wanna go??
Sure..lets book tickets
and fly out tomorrow.
Brian
Puneet
Here is the
brochure I just
designed.
Emeric
Automation expo
in 2 weeks in L.A
you want to go?
Rafi
WEEK
INTERVIEWS
0 1 2 3 4
0 12 23 35
Our Journey
51
2 weeks
later...
2,000 suppliers & partners
30+ meetings
Strong validation: from 1 to 7 arm manufacturers
“If you build this solution people will line up to buy it ”
Epson Robotics Sales
“Don’t mind my language but it is dope”
Epson Application Eng.
“I have a customer right now who is looking for a solution”
Denso Robotics Regional Sales Head
1
Learnings
WEEK
INTERVIEWS
0 1 2 3 4 5
0 12 23 35 51 61
Our Journey
114
10
Learnings
2
WEEK
INTERVIEWS
0 1 2 3 4 5
0 12 23 35 51 61
Our Journey
Realized the complexity of the ecosystem
System
Integrators
Own Warehouse
(Amazon.com/walmart.com)
MOVEBOT
3PL Manual
Warehouses
3PL Automated
Warehouses
Arm/hardware
manufacturers
Learnings
2
WEEK
INTERVIEWS
0 1 2 3 4 5
0 12 23 35 51
Our Journey
Realized the complexity of the ecosystemand identified customers
Arm/hardware
manufacturers
System
Integrators
MOVEBOT
Own Warehouse
(Amazon.com/walmart.com)
3PL Manual
Warehouses
3PL Automated
Warehouses
61
We had validated the need
1
We thought we had figured it out!
2
We understood the complex ecosystem
3
WEEK
INTERVIEWS
0 1 2 3 4 5
0 12 23 35 51 61
Our Journey
We had a go to market strategy
17 follow ups lined up with industry contacts who were excited about the problem
Testing Hypothesis with customers and expo
contacts
“I will pay for a solution, not a software”
Principal Engineer at Procter & Gamble 3PL
Reject from 4 automated facilities
“Customers pay for the HW, and expect
the SW for free” Engineer at Robotic System
Integrators
Reject from 3 system integrators
11 rejections
“Your vision system looks really good, can you
put it on a real arm?” Operations Manager at Amazon
Robotics
Reject from 4 Stakeholders
WEEK
INTERVIEWS
0 1 2 3 4 5 6
0 12 23 35 51 61 77
Our Journey
Software
Provider
Time to PIVOT !
Full Solution
Provider
Cloud
Camera Gripper
MoveBot A.I
Arm
WEEK
INTERVIEWS
0 1 2 3 4 5 6
0 12 23 35 51 61 77
Our Journey
Warehouse Software
Movebot’s A.ICloud
Robot Control
Pivot: new business model
Key Partners
Robot arm
manufacturers
Cost Structure
Software development cost
Labor cost
Key Activities
Software R&D
Sales & BD
Aftersale Support
Domain knowledge
Key Resources
Software Simulation
Tool
Value proposition
Enable multiple use of
existing robotic arms
Cost saving
Reduce errors
Customer relationships
e-commerce
warehouses
Channels
Direct Sale
Customer segments
E-commerce players:
Amazon, Jet.com
Robot Arm
Manufacturers
Robotics System
Integrators
Automated 3rd Party
Logistics
Robot Arm
Manufacturers
Rack manufacturers
System Integrators
Full automated solution:
relieve safety, health and
peak capacity painsAccess to an arm to
develop our software
Hardware IntegrationRack
manufacturers
System
integrators
Integration cost
One time sale
1 year ROI
WEEK
INTERVIEWS
0 1 2 3 4 5 6
0 12 23 35 51 61 77
Our Journey
Revenue Streams
Subscription/ licensing revenue / profit sharing
Test: MVP with robot
arm simulator
WEEK
INTERVIEWS
0 1 2 3 4 5 6 7
0 12 23 35 51 61 77 91
Our Journey
00
Hypothesis: Rack
manufacturers new partner
+
“Let’s work on a value
proposition together and talk to
the CEO next week.”
System Sales Director, Kardex Remstar
“Yes, we are looking at this
missing automation step and are
considering different solutions.”
CTO, Exotec
Learning: Rack manufacturers
new partner
WEEK
INTERVIEWS
0 1 2 3 4 5 6 7
0 12 23 35 51 61 77 91
Our Journey
00
Learning: Market opportunity
Total market:
Semi-automated warehouses (L3): 3000
At $2.5 m/warehouse: $7.5b
Growing at YoY:
~20%
Learning: Sales process
Corporate Committee Automation Technology
VP Engineering VP Operations VP Business Dev.
Decision Maker
Video of prototype
Plant Automation
Manager
Live demo
Corporate
Automation Manager
MVP
Through Trade
Show+ ASRS
Corporate
Automation
Director Internal Champion
WEEK
INTERVIEWS
0 1 2 3 4 5 6 7 8
0 12 23 35 51 61 77 91 101
Our Journey
9
“Let’s develop a prototype
together and take it to trade
shows”
Sales Manager, Automated rack
manufacturer
110
“We will take this to corporate”
Corporate Automation Manager, UPS
In just 10 weeks, we...
Mapped Complex EcoSystem and found partners: Rack & Arm Manufacturers
Identified right customer(3PL) and eliminated others (Amazon)
1
WEEK
INTERVIEWS
0 1 2 3 4 5 6 7 8 9
0 12 23 35 51 61 77 91 101 110
Our Journey
114
10
Evolved our our offering from software to full solution
Understood sales and go-to-market strategies4
2
3
What we have
learned in 10 weeks
takes similar
companies 1-2yrs
Based on conversation with
Director of automation at Major
Rack Manufacturer
.. and we keep finding new opportunities
SorterScanner (3D)
UPS - 70% Highly Automated
Truck loading
Another Big Opportunity
Truck loading
$9B value for UPS in 5 years
An opportunity we would never discover
without “leaving the building”
WEEK
INTERVIEWS
0 1 2 3 4 5 6 7 8 9
0 12 23 35 51 61 77 91 101 110
Our Journey
114
10
Next Steps
We are applying to incubators!
DENSO Robotics are
loaning us an arm
WEEK
INTERVIEWS
0 1 2 3 4 5 6 7 8 9
0 12 23 35 51 61 77 91 101 110
Our Journey
114
10
MoveBot is a logistics automation solution powered by an A.I. engine
that constantly learns from data aggregation
Broader vision
THANK YOU!
BACKUP SLIDES
Value created for an Amazon Warehouse
Cost/BenefitAnalysis
Cost
~$2.5M
Benefit
~$5M
Upfront Investment
~$2.4M
Saved Labor Cost
~$1.8M / year
Less Injuries and Safety
Liabilities
~0.2M / year
Avoid Human-error
Related Loss
~ $3M / year
Maintenance & Upgrade
~$0.1M / year
Packages delivered
in Peak Month
11M
# of packages robot
can pick per month
540k
# of robot needed 20
Cost/Robot $120k
Upfront Investment $2.4M
(Based on Real Data)
Value created for an Amazon Warehouse
Cost/BenefitAnalysis
Cost
~$2.5M
Benefit
~$5M
Upfront Investment
~$2.4M
Saved Labor Cost
~$1.8M / year
Less Injuries and Safety
Liabilities
~0.2M / year
Avoid Human-error
Related Loss
~ $3M / year
Maintenance & Upgrade
~$0.1M / year
# of worker saved 15
# of shifts 2
Annual compensation
& benefits per worker
$60k
Total saved labor cost $1.8M
(Based on Real Data)
Value created for an Amazon Warehouse ~2.5m
Cost/BenefitAnalysis
Cost
~$2.5M
Benefit
~$5M
Upfront Investment
~$2.4M
Saved Labor Cost
~$1.8M / year
Less Injuries and Safety
Liabilities
~0.2M / year
Avoid Human-error
Related Loss
~ $3M / year
Maintenance & Upgrade
~$0.1M / year
Reduce human error
rate
0.4%
Less # of mis-delivered
packages
~75k
Average cost of one
mis-delivery
$40
Total cost saved from
mis-delivery
$3M
(Based on Real Data)
3PL Automated
Warehouses
Hardware
providers
Buy
Provide a solution
Sell, integrate, maintain
$40k $120k
Rack Providers System Integrators
New Partner Map & Go to market
Partner
MoveBot
Cost for one robotic arm
Validate need
& solution
Loan robotic arm
and rack system
Build
prototype
First sale and
implementation
Partnership Process
Marketing at
trade shows
Sell a solution
Operation Cost
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4
2018 2019 2020 2021 2022 2023 2024 2025 2026
Product/Market Fit
Repeatable/Scalable/Profitable
Growth model
Scaling the Business
R&D
Financial & Operation Resources
Sales
Build
Solution
Deploy
Maintena
nce
Infrastru
cture
Others
Total
3 6 8 14 22
0 2 4 8 16
9 16 22 32 48
0 3 7 14 27
0 3 6 13 25
0.2 1.5 2 6 10
$1M $3.6M $8.8M $17.5M $43M$0.1M
$2.9M $9.9M $19M $42M $92M$0.1M
Operation Plan
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4
2018 2019 2020 2021 2022 2023 2024 2025 2026
Product/Market Fit
Repeatable/Scalable/Profitable
Growth model
Scaling the Business
Product
Milestone
Business
Milestone
Proof of
concept
Integrated
Industry
Solution
Simulation
Prototype Introduce AI-Cloud
Learning
Data + Platform
Industry Standard
Pilot
First
Installation
4
warehouses
10 warehouses
20 warehouses &
Diversification
50 warehouses
Financial & Operation Resources
Fundraising : Financial/Operation
Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4
2018 2019 2020 2021 2022 2023 2024 2025 2026
Product/Market Fit Repeatable/Scalable/Profitable Growth model Scaling the Business
$40M
$30M
$20M
$10M
Angel
$150K
$5M
$0M
Seed
$1.5M
Series A
$5M
Series B
$10M
Series C
$20M
Series D
$40M
M&A / IPO
$50M+
CashReserve
Product
Milestone
Business
Milestone
Proof of
concept Integrated
Industry Solution
Simulation
Prototype
Cloud
Data + Platform
Industry Standard
Pilot
First
Installation
4 warehouses
10 warehouses
20 warehouses
50 warehouses
$50M
Financial & Operation Resources

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Movebot ENGR245 Lean LaunchPad Stanford 2018

  • 2. MoveBot A.I. based full solution allowing autonomous picking and placing for ecommerce and logistics warehouses A software layer for industrial robot arms to pick and place random objects Target market Interviews B2B: Warehouse Automation 114
  • 3. PhD Mech Eng. MS École Centrale eboigne@stanford.edu MBA GSB BCG/Uber/IIT ssankhla@stanford.edu Visiting Prof. PhD Eng. MIT whitebl@stanford.edu MBA GSB E.Eng.UT Houston rzhong0@stanford.edu MSx GSB MS CMU-RI puneetp@stanford.edu Controls Optimal Control RoboticsConsulting Logistics Emeric Boigne Ray Zhong Surabhi SankhlaBrian White Puneet Puri Team
  • 4. Why Do it? Research Breakthroughs AI for grasping Dataset available in 2017 6.7m Grasps Unfulfilled need Amazon picking challenge Diverse team passionate about cool tech WEEK INTERVIEWS 0 Our Journey 0
  • 5. First canvas Key Partners Robot arm manufacturers Cost Structure Software development cost Labor cost Key Activities Software R&D Sales & BD Aftersale Support Domain knowledge Key Resources Software Simulation Tool Value proposition Enable multiple use of existing robotic arms Cost saving Efficiency increasing Customer segments E-commerce player: such as Amazon and Jet.com WEEK INTERVIEWS 0 Our Journey 0 Revenue Streams Subscription/ licensing revenue / profit sharing Customer relationships With e-commerce players Channels Direct Sales
  • 6. Nuclear power Manufacturing Waste management Mining Oil and gas Agriculture Medical Assistance Food processing Warehouse & Logistics Start of Journey Warehouse & Logistics Warehouse Picker Station Manufacturing Waste management Warehouse & Logistics WEEK INTERVIEWS 0 1 0 Our Journey 12 Amazon interviews: Automate picker station in warehouse (FC) High pull from the industry Our in-house consultant: ‘Guys, narrow down industry!’ Criteria: Size vs Feasibility Business Model Canvas Customer Segments Customer feedback: Since main income is from govt., willingness to adopt is low
  • 7. Challenges faced by warehouses 1 Revenue loss due to packaging mistakes2 Labor Shortage during peak capacity3 Repetitive actions leads to injuries Picker Station WEEK INTERVIEWS 0 1 2 0 12 Our Journey Cost: ~$4.5 Million/ warehouse (based on Amazon internal data) 23 =
  • 8. A.I software for robot arms to pick and place random objects WEEK INTERVIEWS 0 1 2 0 12 Our Journey 23 Warehouse Software Movebot’s A.ICloud Robot Control Value proposition 1 Cost reduction with fewer errors 2 Ability to handle peak capacity 3 Safer work environment Business Model Canvas Value Proposition More Deployment → More Data→ Better A.I. Additional value created : $2m $2.5m solution for 20 stations pays for itself < 1 yr ROI based on Amazon internal budget
  • 9. Our first big “aha” moment!! $3.5B Revenue Top 5 robot Manf.
  • 10. “The challenge is finding where to pick .. .. the robot can do the rest” “You are onto a big industrial problem” Application Engineer, KUKA “7 out of 10 sales people say bin picking biggest problem” Business Dev. Manager, KUKA “Can we have an exclusive partnership with you?” Business Dev. Manager, KUKA WEEK INTERVIEWS 0 1 2 3 0 12 23 Our Journey 35
  • 11. MVP - Proof of Concept Given 3D image of any random object the deep neural network predicts where to grasp trained 6.7m grasps from Dex-net 2.0 dataset WEEK INTERVIEWS 0 1 2 3 4 0 12 23 35 Our Journey 51 Grasp Points Using Dex-net 2.0
  • 12. Automation industry is complex!, how can we reach?Oh Damn! Tomorrow is last day of expo you wanna go?? Sure..lets book tickets and fly out tomorrow. Brian Puneet Here is the brochure I just designed. Emeric Automation expo in 2 weeks in L.A you want to go? Rafi WEEK INTERVIEWS 0 1 2 3 4 0 12 23 35 Our Journey 51 2 weeks later...
  • 13. 2,000 suppliers & partners 30+ meetings
  • 14. Strong validation: from 1 to 7 arm manufacturers “If you build this solution people will line up to buy it ” Epson Robotics Sales “Don’t mind my language but it is dope” Epson Application Eng. “I have a customer right now who is looking for a solution” Denso Robotics Regional Sales Head 1 Learnings WEEK INTERVIEWS 0 1 2 3 4 5 0 12 23 35 51 61 Our Journey 114 10
  • 15. Learnings 2 WEEK INTERVIEWS 0 1 2 3 4 5 0 12 23 35 51 61 Our Journey Realized the complexity of the ecosystem System Integrators Own Warehouse (Amazon.com/walmart.com) MOVEBOT 3PL Manual Warehouses 3PL Automated Warehouses Arm/hardware manufacturers
  • 16. Learnings 2 WEEK INTERVIEWS 0 1 2 3 4 5 0 12 23 35 51 Our Journey Realized the complexity of the ecosystemand identified customers Arm/hardware manufacturers System Integrators MOVEBOT Own Warehouse (Amazon.com/walmart.com) 3PL Manual Warehouses 3PL Automated Warehouses 61
  • 17. We had validated the need 1 We thought we had figured it out! 2 We understood the complex ecosystem 3 WEEK INTERVIEWS 0 1 2 3 4 5 0 12 23 35 51 61 Our Journey We had a go to market strategy 17 follow ups lined up with industry contacts who were excited about the problem
  • 18. Testing Hypothesis with customers and expo contacts “I will pay for a solution, not a software” Principal Engineer at Procter & Gamble 3PL Reject from 4 automated facilities “Customers pay for the HW, and expect the SW for free” Engineer at Robotic System Integrators Reject from 3 system integrators 11 rejections “Your vision system looks really good, can you put it on a real arm?” Operations Manager at Amazon Robotics Reject from 4 Stakeholders WEEK INTERVIEWS 0 1 2 3 4 5 6 0 12 23 35 51 61 77 Our Journey
  • 19. Software Provider Time to PIVOT ! Full Solution Provider Cloud Camera Gripper MoveBot A.I Arm WEEK INTERVIEWS 0 1 2 3 4 5 6 0 12 23 35 51 61 77 Our Journey Warehouse Software Movebot’s A.ICloud Robot Control
  • 20. Pivot: new business model Key Partners Robot arm manufacturers Cost Structure Software development cost Labor cost Key Activities Software R&D Sales & BD Aftersale Support Domain knowledge Key Resources Software Simulation Tool Value proposition Enable multiple use of existing robotic arms Cost saving Reduce errors Customer relationships e-commerce warehouses Channels Direct Sale Customer segments E-commerce players: Amazon, Jet.com Robot Arm Manufacturers Robotics System Integrators Automated 3rd Party Logistics Robot Arm Manufacturers Rack manufacturers System Integrators Full automated solution: relieve safety, health and peak capacity painsAccess to an arm to develop our software Hardware IntegrationRack manufacturers System integrators Integration cost One time sale 1 year ROI WEEK INTERVIEWS 0 1 2 3 4 5 6 0 12 23 35 51 61 77 Our Journey Revenue Streams Subscription/ licensing revenue / profit sharing
  • 21. Test: MVP with robot arm simulator WEEK INTERVIEWS 0 1 2 3 4 5 6 7 0 12 23 35 51 61 77 91 Our Journey 00 Hypothesis: Rack manufacturers new partner +
  • 22. “Let’s work on a value proposition together and talk to the CEO next week.” System Sales Director, Kardex Remstar “Yes, we are looking at this missing automation step and are considering different solutions.” CTO, Exotec Learning: Rack manufacturers new partner WEEK INTERVIEWS 0 1 2 3 4 5 6 7 0 12 23 35 51 61 77 91 Our Journey 00 Learning: Market opportunity Total market: Semi-automated warehouses (L3): 3000 At $2.5 m/warehouse: $7.5b Growing at YoY: ~20%
  • 23. Learning: Sales process Corporate Committee Automation Technology VP Engineering VP Operations VP Business Dev. Decision Maker Video of prototype Plant Automation Manager Live demo Corporate Automation Manager MVP Through Trade Show+ ASRS Corporate Automation Director Internal Champion WEEK INTERVIEWS 0 1 2 3 4 5 6 7 8 0 12 23 35 51 61 77 91 101 Our Journey 9 “Let’s develop a prototype together and take it to trade shows” Sales Manager, Automated rack manufacturer 110 “We will take this to corporate” Corporate Automation Manager, UPS
  • 24. In just 10 weeks, we... Mapped Complex EcoSystem and found partners: Rack & Arm Manufacturers Identified right customer(3PL) and eliminated others (Amazon) 1 WEEK INTERVIEWS 0 1 2 3 4 5 6 7 8 9 0 12 23 35 51 61 77 91 101 110 Our Journey 114 10 Evolved our our offering from software to full solution Understood sales and go-to-market strategies4 2 3 What we have learned in 10 weeks takes similar companies 1-2yrs Based on conversation with Director of automation at Major Rack Manufacturer
  • 25. .. and we keep finding new opportunities SorterScanner (3D) UPS - 70% Highly Automated Truck loading Another Big Opportunity Truck loading $9B value for UPS in 5 years An opportunity we would never discover without “leaving the building” WEEK INTERVIEWS 0 1 2 3 4 5 6 7 8 9 0 12 23 35 51 61 77 91 101 110 Our Journey 114 10
  • 26. Next Steps We are applying to incubators! DENSO Robotics are loaning us an arm WEEK INTERVIEWS 0 1 2 3 4 5 6 7 8 9 0 12 23 35 51 61 77 91 101 110 Our Journey 114 10 MoveBot is a logistics automation solution powered by an A.I. engine that constantly learns from data aggregation Broader vision
  • 29. Value created for an Amazon Warehouse Cost/BenefitAnalysis Cost ~$2.5M Benefit ~$5M Upfront Investment ~$2.4M Saved Labor Cost ~$1.8M / year Less Injuries and Safety Liabilities ~0.2M / year Avoid Human-error Related Loss ~ $3M / year Maintenance & Upgrade ~$0.1M / year Packages delivered in Peak Month 11M # of packages robot can pick per month 540k # of robot needed 20 Cost/Robot $120k Upfront Investment $2.4M (Based on Real Data)
  • 30. Value created for an Amazon Warehouse Cost/BenefitAnalysis Cost ~$2.5M Benefit ~$5M Upfront Investment ~$2.4M Saved Labor Cost ~$1.8M / year Less Injuries and Safety Liabilities ~0.2M / year Avoid Human-error Related Loss ~ $3M / year Maintenance & Upgrade ~$0.1M / year # of worker saved 15 # of shifts 2 Annual compensation & benefits per worker $60k Total saved labor cost $1.8M (Based on Real Data)
  • 31. Value created for an Amazon Warehouse ~2.5m Cost/BenefitAnalysis Cost ~$2.5M Benefit ~$5M Upfront Investment ~$2.4M Saved Labor Cost ~$1.8M / year Less Injuries and Safety Liabilities ~0.2M / year Avoid Human-error Related Loss ~ $3M / year Maintenance & Upgrade ~$0.1M / year Reduce human error rate 0.4% Less # of mis-delivered packages ~75k Average cost of one mis-delivery $40 Total cost saved from mis-delivery $3M (Based on Real Data)
  • 32. 3PL Automated Warehouses Hardware providers Buy Provide a solution Sell, integrate, maintain $40k $120k Rack Providers System Integrators New Partner Map & Go to market Partner MoveBot Cost for one robotic arm Validate need & solution Loan robotic arm and rack system Build prototype First sale and implementation Partnership Process Marketing at trade shows Sell a solution
  • 33. Operation Cost Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 2018 2019 2020 2021 2022 2023 2024 2025 2026 Product/Market Fit Repeatable/Scalable/Profitable Growth model Scaling the Business R&D Financial & Operation Resources Sales Build Solution Deploy Maintena nce Infrastru cture Others Total 3 6 8 14 22 0 2 4 8 16 9 16 22 32 48 0 3 7 14 27 0 3 6 13 25 0.2 1.5 2 6 10 $1M $3.6M $8.8M $17.5M $43M$0.1M $2.9M $9.9M $19M $42M $92M$0.1M
  • 34. Operation Plan Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 2018 2019 2020 2021 2022 2023 2024 2025 2026 Product/Market Fit Repeatable/Scalable/Profitable Growth model Scaling the Business Product Milestone Business Milestone Proof of concept Integrated Industry Solution Simulation Prototype Introduce AI-Cloud Learning Data + Platform Industry Standard Pilot First Installation 4 warehouses 10 warehouses 20 warehouses & Diversification 50 warehouses Financial & Operation Resources
  • 35. Fundraising : Financial/Operation Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 2018 2019 2020 2021 2022 2023 2024 2025 2026 Product/Market Fit Repeatable/Scalable/Profitable Growth model Scaling the Business $40M $30M $20M $10M Angel $150K $5M $0M Seed $1.5M Series A $5M Series B $10M Series C $20M Series D $40M M&A / IPO $50M+ CashReserve Product Milestone Business Milestone Proof of concept Integrated Industry Solution Simulation Prototype Cloud Data + Platform Industry Standard Pilot First Installation 4 warehouses 10 warehouses 20 warehouses 50 warehouses $50M Financial & Operation Resources

Editor's Notes

  1. https://youtu.be/WcWUfH-NMM0 General purpose robot automation software allowing robot arms to become intelligent by using learning & 3D-perception to pick and place objects not specifically trained for.
  2. General purpose robot automation software allowing robot arms to become intelligent by using learning & 3D-perception to pick and place objects not specifically trained for.
  3. Email?
  4. How we found the solutions
  5. Refer back to market sizing Taking the Class, not just doing product marketing. “And if a customer invests in G2P solutions today,” Schmidt says, “there will be no reason they can’t use a robot once they’re ready.”
  6. Rafi Remove boxes
  7. Rafi Remove boxes
  8. brian/slide : puneet editing it Great quote, great picture. Both visually fail. Suggestion: big picture, then quotes large on the image + who said that? [ok to make it up]
  9. Great quote, great picture. Both visually fail. Suggestion: big picture, then quotes large on the image + who said that? [ok to make it up]
  10. Way too busy slides. Have demo running, and that’s it: “we trained it, and we could pick this up. We proove it to ourself, we were happy” -> put smiley face
  11. Great story “how did we
  12. What did you learn? “We learned three big things: strong demand & Market players & Target customers” “More than 3 learnings, more like 10” “Tradeshows are awesome for customer discovery: instead of going one at a time, we were able to talk to 2000 companies/suppliers.” Find out: how many people to this tradeshow?
  13. Great quote, great picture. Both visually fail. Suggestion: big picture, then quotes large on the image + who said that? [ok to make it up]
  14. Rafi : ‘Explaing 3rd Party Warehouses. Great quote, great picture. Both visually fail. Suggestion: big picture, then quotes large on the image + who said that? [ok to make it up]
  15. Great quote, great picture. Both visually fail. Suggestion: big picture, then quotes large on the image + who said that? [ok to make it up]
  16. ATX: Big warehouses/industries are shopping solutions (Target, Wal-Mart, Amazon) Concluded offering .. Slide , conclude the validation and the positive. Great quote, great picture. Both visually fail. Suggestion: big picture, then quotes large on the image + who said that? [ok to make it up]
  17. Make the Rejects make feel bigger : brian
  18. As Puneet described, we had fallen off a cliff. It was time to pivot Instead of a software provider, we needed to be a full solution provider This would mean integrating the arm The vision system The cloud-based AI and learning algorithms Into one package
  19. As a result, our business model canvas changed completely Our customer segments would have to change Our value proposition had to be different Our partners and sales channels were now big unknowns
  20. We had to re-evaluate all of our assumptions. But we knew we needed a solution tailored to the needs of the customer: the automated warehouse And going back to basics helped us identify new partners: The automated rack providers After all, they would be bringing the “goods to our robot” So we developed a new MVP demonstrating our grasping algorithm in a physics simulator and showed it to rack manufacturers
  21. Their response was immediate and enthusiastic: They knew they were missing our step and were already looking for solutions One said “let’s take this to the CEO” We also learned about the total potential market: there are currently over 1000 semi-automated warehouse for a total serviceable market potential of $7.2 billion and growing
  22. Finally, talking to the rack manufacturers, and with automation managers at Amazon and UPS helped us understand the sales process and develop a go-to market strategy: We will build a prototype that works together with the automated rack system. Take it to trade shows, and find plant and corporate automation managers willing to champion our product and push it through to the corporate decision makers Once they signed off we could begin pilot testing in the warehouse
  23. So just to take a step back and summarize: In just 10 weeks, we came to understand the players in this complex industry, developed a product definition and a go-to-market strategy In fact, based on feedback from one corporate automation manager, we learned that it has taken similar companies 2-3 years to arrive at similar conclusions
  24. But… there is one more thing Toward the end of the course we got out of the building one more time, this time to UPS regional sorting center in Oakland It’s a automated facility, with package sorting and barcode scanners. But the last step – loading the truck that delivers packages to the regional shipping centers – is still manual and inefficient. Workers stack boxes by hand and the trucks are only 65% packed. We realized that an AI optimization algorithm information about the boxes in the pipeline could drastically improve efficiency Based on the estimates of the corporate automation manager just a 10% increase in efficiency would amount to a $9 billion opportunity An opportunity we would never have discovered without “getting out of the building”
  25. We are excited about our next steps: We are applying to summer accelerators We just had a visit from Denso robotics, who we connected with at ATX. They are planning to loan us an arm and gripper and are excited about working with us to develop our prototype to take to trade shows. Finally, since we keep finding opportunities for AI and automation, We have expanded our vision to one of an AI solution for logistics optimization and manipulation, that uses data aggregation to continuously learn and improve
  26. With that we want to thank everyone involved in Lean Launchpad, in particular our mentor, Rafi Holtzman, the entire instructional staff and each of the teams, all of whom made this course such a rewarding collaborative learning experience We’ll be happy to take any questions.
  27. This numbers/ Amazon from who already worked this numbers on a long time. All these numbers result from a discussion with an Amazon manager who did the math in 2014. Spreadsheet format? Standard budget format.
  28. All these numbers result from a discussion with an Amazon manager who did the math in 2014. Spreadsheet format? Standard budget format.
  29. All these numbers result from a discussion with an Amazon manager who did the math in 2014. Spreadsheet format? Standard budget format. Net postive warehouse , withing 1 year
  30. 1/ Prototype in the end 3PL WH 2/ Later on, sell to SI (OH Steve).
  31. Rolling fund / capital
  32. $2.4M / warehouse