Case Study:
Delivering Compelling Digital Experiences with Smart Apps
Malik BilalPivotal
#PivotalForum #DataScience #BigData #Analytics
Sending a parcel from
How difficult can it be?
Not at all difficult!
After a high-tech journey
You have to deliver a parcel but
don’t know the exact address?
An easy task has now
become a difficult problem.
What a basic error!
It is common place, in
countries with no
postcodes.
Saudia Arabia
population of 28.9 million
India
population of 1.25 billion
Shahzia Holtom,
Behind Pine Mount School,
Shillong, India.
Largest logistics company
in middle east and India
Adding to the problem, in
Saudia Arabia, is it’s
culture
A Saudi Arabian women is not
allowed to interact with the delivery
guy without a male guardian
Rated the most useful comments
Growing
competition
Rated the most useful comments
Growing
competition
Rated the most useful comments
Growing
competition
Digital real estate is
precious
Rated the most useful comments
“I want to know when my
parcel is arriving”
The ability to plan is very
important
What did Aramex and Pivotal
do next?
Not just any app, but a smart
app
Using data science, build real time
predictions of time to delivery
Based on each individual
customer’s parcel delivery history
So, how was this achieved?
Data Science
Product Management
Product Design
Engineering
Continuous Improvement
Balanced Team
Data Science
Product Management
Product Design
Engineering
Continuous Improvement• User research
• Design features
Product Design
Data Science
Product Management
Product Design
Engineering
Continuous Improvement
Engineering
• Data migration
• App. creation
Data Science
Product Management
Product Design
Engineering
Continuous Improvement
Data Science
• Data science model
• Operationalisation
Right tools for the right job
Data Science ToolkitData science platform
Data Science Toolkit
Key Languages
Data science platform
Data Science Toolkit
Key Languages Key Tools
Data science platform
Improved data collection
• No free text entry
• Map based location
Real-time predictions
• Data science algorithms
• Learn patterns, for each individual customer, based on their history
Build, Measure, Learn
Build, Measure, Learn
• Build your idea
Build, Measure, Learn
• Build your idea
• Measure your customer’s reaction
Build, Measure, Learn
• Build your idea
• Measure your customer’s reaction
• Learn future improvements
Build, Measure, Learn
• Build your idea
• Measure your customer’s reaction
• Learn future improvements
• Iterate, then iterate again!
It’s the details that make you fall in love!