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Case Study: Smart Apps @ Aramex

This session will showcase some of the key ingredients needed to drive customer acquisition, satisfaction and loyalty. We will examine Smart Apps that Pivotal has developed for organisations looking to deliver superior digital experiences for their customers.

Speaker: Malik Bilal, Enterprise Architect, Pivotal

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Case Study: Smart Apps @ Aramex

  1. 1. #PivotalForum #DigitalTransformation Digital Transformation Forum Disrupt or Be Disrupted 1 NOVEMBER Ÿ ST. REGIS Ÿ DUBAI
  2. 2. Case Study: Delivering Compelling Digital Experiences with Smart Apps Malik Bilal Pivotal #PivotalForum #DataScience #BigData #Analytics
  3. 3. Sending a parcel from How difficult can it be?
  4. 4. Answer is ….....
  5. 5. Not at all difficult!
  6. 6. A=er a high-tech journey
  7. 7. Now imagine this…
  8. 8. You have to deliver a parcel but don’t know the exact address?
  9. 9. An easy task has now become a difficult problem.
  10. 10. What a basic error!
  11. 11. It is common place, in countries with no postcodes.
  12. 12. Saudi Arabia populaJon of 28.9 million
  13. 13. India populaJon of 1.25 billion
  14. 14. Largest logisJcs company in middle east and India
  15. 15. Adding to the problem, in Saudi Arabia, is it’s culture…
  16. 16. A Saudi Arabian woman is not allowed to interact with the delivery guy without a male guardian
  17. 17. Rated the most useful comments
  18. 18. Growing compeJJon Rated the most useful comments
  19. 19. Growing compeJJon Rated the most useful comments
  20. 20. Growing compeJJon Digital real estate is precious Rated the most useful comments
  21. 21. “I want to know when my parcel is arriving”
  22. 22. The ability to plan is very important
  23. 23. What did Aramex and Pivotal do next?
  24. 24. We built an app
  25. 25. Not just any app, but a smart app
  26. 26. Using data science, build real Jme predicJons of Jme to delivery
  27. 27. Based on each individual customer’s parcel delivery history
  28. 28. So, how was this achieved?
  29. 29. Data Science Product Management Product Design Engineering Continuous Improvement Balanced Team
  30. 30. Data Science Product Management Product Design Engineering Continuous Improvement • User research • Design features Product Design
  31. 31. Data Science Product Management Product Design Engineering Continuous Improvement Engineering • Data migraJon • App. creaJon
  32. 32. Data Science Product Management Product Design Engineering Continuous Improvement Data Science • Data science model • OperaJonalisaJon
  33. 33. Right tools for the right job
  34. 34. Data Science Toolkit GemFire for Pivotal CF Hawq for Pivotal CF Spark for Pivotal CF Spring Cloud DF for Pivotal CF Data science pla[orm
  35. 35. Data Science Toolkit GemFire for Pivotal CF Hawq for Pivotal CF Spark for Pivotal CF Spring Cloud DF for Pivotal CF Key Languages Data science pla[orm
  36. 36. Data Science Toolkit GemFire for Pivotal CF Hawq for Pivotal CF Spark for Pivotal CF Spring Cloud DF for Pivotal CF Key Languages Key Tools Data science pla[orm
  37. 37. The big reveal!
  38. 38. Improved data collecJon •  No free text entry •  Map based locaJon
  39. 39. Real-Jme predicJons •  Data science algorithms •  Learn pa^erns, for each individual customer, based on their history
  40. 40. Build, Measure, Learn
  41. 41. Build, Measure, Learn •  Build your idea
  42. 42. Build, Measure, Learn •  Build your idea •  Measure your customer’s reacJon
  43. 43. Build, Measure, Learn •  Build your idea •  Measure your customer’s reacJon •  Learn future improvements
  44. 44. Build, Measure, Learn •  Build your idea •  Measure your customer’s reacJon •  Learn future improvements •  Iterate, then iterate again!
  45. 45. It’s the details that make you fall in love!
  46. 46. #PivotalForum #DigitalTransformation Digital Transformation Forum Disrupt or Be Disrupted 1 NOVEMBER Ÿ ST. REGIS Ÿ DUBAI

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