Uber aims to improve the customer pickup experience using machine learning. Currently, there are pain points like drivers stopping in the wrong location due to GPS inaccuracies or riders not arriving on time. The ideal experience would have accurate rider location prediction. Uber is considering investing in machine learning to better predict rider locations using its large database, as this approach would be more sustainable than simple heuristics. Machine learning could also help optimize different strategies for pickups across countries by adapting to variables like cultural differences.

1. Applying Machine Learning to
Improve the Customer Pickup
Experience

2. • Founded in March 2009 in San Francisco by Travis
Kalanick and Garrett Camp.
• As a luxury car service which users can request a ride
via an application on their phone.
• By 2018, Uber had a worldwide presence and operated
in more than 785 metropolitan areas around the globe.
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3. PICKUP PAIN
POINTS
IDEAL PICKUP
EXPERIENCE
PICKUP
CHALLENGES
• Driver who stopped farther
down the street from
where a rider actually was
due to GPS inaccuracy.
• Riders did not arrive on
time at a busy street
where parking is an issue.
What should be the ideal
pickup experience for rider
and driver?
Cultural differences,
Modalities, Venue pickups,
Safety, Compliance, Rider
expectations.
INVESTMENT
Whether to invest in
machine learning or use
simple heuristics to
measure and improve the
pickup experience.
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4. PICKUP EXPERIENCE WITH
AUTOMATION
VARIETIES FOR PICKUP
• Using AI and ML technologies.
• Predicting the location of the rider.
1. Sense signals
2. Score the anchor location
3. Decide pickup location
4. Adapt pickup location
5. Refine pickup heuristics
• Different strategies for different countries.
• Good application interface and ease to use
can solve the problem of modalities and
venue pickups.
• Drivers’ background checks and riders’ live
location sharing to friends or relatives will
ensure safety.
• Communication with drivers and
governments of states for compliance.
INVESTMENT IN ML
• Investing in machine learning can be a good step
because there is a huge database for uber now. And it
can be used to predict the accurate location of riders.
• Using the heuristics model can be a laborious task and
less sustainable as compared to machine learning
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5. UNIQUE
App-based company which
offers cab facilities with a
click on phone
FIRST TO MARKET
First designed product
that's both useful and fast in
rented car facility.
TESTED
93 million users are active
at uber app.
AUTHENTIC
Designed with the help and
input of software experts
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6. Simple and efficient to use
Quick customer service assistance
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8. An app-based online platform that provides rented
cars at the rider’s location.
Revenue is generated through some percentage
cut from drivers and advertisements.
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