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Uber Direct
Expansion into fashion
Problem
• As a customer, I have to wait for at least 24 hours to get my
delivery even if I choose the most expensive delivery option
today
• As a retailer, I want to cater to more customer preferences and
a lot of customers these days want faster delivery options
Target Audience
Retailers:
● Large retailers and high
end chains for better
reach
Customer:
● Customers who can
afford express delivery
Value Proposition
Faster delivery leading to
increase in satisfaction with
brand
Provide on demand delivery for
customers in a time when
leaving the home is not safe
Customer Retailer
Opportunity size
• Total Addressable Market
(Last Mile Delivery): $3.2 B
• Service Addressable Market
(Fashion Last Mile
Delivery): $928 M
• Service Obtainable Market:
$550M (luxury and large
retailers make up about
60% of the addressable
market)
$3.2 B
Source:
https://www.statista.com/statistics/278890/us-apparel-and-accessories-retail-e-commerce-revenue/
https://www.ibisworld.com/industry-statistics/market-size/clothing-boutiques-united-states/
https://www.ibisworld.com/united-states/market-research-reports/clothing-boutiques-industry/
Last Mile Delivery Market
Product Solutions
• Solution 1:Creating a marketplace for brands to showcase content
and provide option to fulfill deliveries through Uber
• Solution 2: Exposing an API which can be consumed by businesses
for a B2B integration with Uber Direct for on demand delivery
option on the retailer checkout page
*Prioritisation exercise in appendix
Product Solution - B2B integration
Integrating into existing applications gives enables
users to use their favourite apps while getting
delivery through Uber
MVP:
● API for fashion retailers to consume
powered by backend uber matching
engine
● Delivery window of 5 hours
● Limited onboarding of retailers
Experiment
Launch with one retailer for one location:
• Build an API and integrate into a retailer delivery page
• Location for the experiment can be a large city like New York,
San Francisco with high acceptance to new ideas
• Test the demand: Percentage of deliveries being fulfilled by Uber
Validating Hypothesis
Assumption Validation Mechanism
Customer demand exists
Painted door test
(Include the delivery option on the
website which on clicking validates user
interest)
Retailer willing to adopt the solution Conversations with the retailers
Operational capacity to meet delivery
demand Results from the MVP experiment
Expanding Uber Direct into retail globally
Standardising on demand delivery in the retail industry.
Think fast delivery, think Uber
What is the long term vision?
Post launch success (3 month period)
Primary Metric Benchmark
Number of
deliveries made
At least 10% capture
of the Last Mile
Delivery Market
Deliveries fulfilled
by Uber per brand
outlet
At least 30% of
deliveries through
Uber
Increase in sales for
retailer
Capture and increase
in sales through A/B
testing
Click through rate
on website
Large retail Chain:
5-10%
Luxury brand: 30%
Secondary Metric Benchmark
Delivery error
rate
Error rate below
5%
Number of
retailers
onboarded on the
platform
30% of total large
retailers and
luxury brands
Customer
Satisfaction
through NPS
3.5 - 4 star
Risks and mitigation
Risks Mitigation
Theft of merchandise by driver
Evaluate insurance coverage and place
a price limit if necessary
Integration Problem with retailer
Come up with older architectures
support for API integration
Customer service can’t coordinate with
store
Set up a point of contact for each retail
outlet for delivery
Returns cannot be processed easily
Return processing to be done through
existing retailer channels
Appendix
Ranking and prioritisation
Metric:
Convenience
delivered to the
customer
Resource
requirement to
execute
Return on
Investment
Ease of Adoption
for brands
Solution 1
(Marketplace)
Medium
(New platform
adjustment)
High
(High
development
cost and time)
Medium (Only
deliveries are
being made by
Uber)
Low (Brands need
to integrate with
the application)
Solution 2
(B2B integration)
High
(Customers can
use existing
platform)
Medium
(Easy to develop
technology but
logistic
execution is
complex)
High
(Low investment
good returns)
High
(Simple
integration)

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Uber direct - Expansion into Fashion

  • 2. Problem • As a customer, I have to wait for at least 24 hours to get my delivery even if I choose the most expensive delivery option today • As a retailer, I want to cater to more customer preferences and a lot of customers these days want faster delivery options
  • 3. Target Audience Retailers: ● Large retailers and high end chains for better reach Customer: ● Customers who can afford express delivery
  • 4. Value Proposition Faster delivery leading to increase in satisfaction with brand Provide on demand delivery for customers in a time when leaving the home is not safe Customer Retailer
  • 5. Opportunity size • Total Addressable Market (Last Mile Delivery): $3.2 B • Service Addressable Market (Fashion Last Mile Delivery): $928 M • Service Obtainable Market: $550M (luxury and large retailers make up about 60% of the addressable market) $3.2 B Source: https://www.statista.com/statistics/278890/us-apparel-and-accessories-retail-e-commerce-revenue/ https://www.ibisworld.com/industry-statistics/market-size/clothing-boutiques-united-states/ https://www.ibisworld.com/united-states/market-research-reports/clothing-boutiques-industry/ Last Mile Delivery Market
  • 6. Product Solutions • Solution 1:Creating a marketplace for brands to showcase content and provide option to fulfill deliveries through Uber • Solution 2: Exposing an API which can be consumed by businesses for a B2B integration with Uber Direct for on demand delivery option on the retailer checkout page *Prioritisation exercise in appendix
  • 7. Product Solution - B2B integration Integrating into existing applications gives enables users to use their favourite apps while getting delivery through Uber MVP: ● API for fashion retailers to consume powered by backend uber matching engine ● Delivery window of 5 hours ● Limited onboarding of retailers
  • 8. Experiment Launch with one retailer for one location: • Build an API and integrate into a retailer delivery page • Location for the experiment can be a large city like New York, San Francisco with high acceptance to new ideas • Test the demand: Percentage of deliveries being fulfilled by Uber
  • 9. Validating Hypothesis Assumption Validation Mechanism Customer demand exists Painted door test (Include the delivery option on the website which on clicking validates user interest) Retailer willing to adopt the solution Conversations with the retailers Operational capacity to meet delivery demand Results from the MVP experiment
  • 10. Expanding Uber Direct into retail globally Standardising on demand delivery in the retail industry. Think fast delivery, think Uber What is the long term vision?
  • 11. Post launch success (3 month period) Primary Metric Benchmark Number of deliveries made At least 10% capture of the Last Mile Delivery Market Deliveries fulfilled by Uber per brand outlet At least 30% of deliveries through Uber Increase in sales for retailer Capture and increase in sales through A/B testing Click through rate on website Large retail Chain: 5-10% Luxury brand: 30% Secondary Metric Benchmark Delivery error rate Error rate below 5% Number of retailers onboarded on the platform 30% of total large retailers and luxury brands Customer Satisfaction through NPS 3.5 - 4 star
  • 12. Risks and mitigation Risks Mitigation Theft of merchandise by driver Evaluate insurance coverage and place a price limit if necessary Integration Problem with retailer Come up with older architectures support for API integration Customer service can’t coordinate with store Set up a point of contact for each retail outlet for delivery Returns cannot be processed easily Return processing to be done through existing retailer channels
  • 14. Ranking and prioritisation Metric: Convenience delivered to the customer Resource requirement to execute Return on Investment Ease of Adoption for brands Solution 1 (Marketplace) Medium (New platform adjustment) High (High development cost and time) Medium (Only deliveries are being made by Uber) Low (Brands need to integrate with the application) Solution 2 (B2B integration) High (Customers can use existing platform) Medium (Easy to develop technology but logistic execution is complex) High (Low investment good returns) High (Simple integration)