Omar Kassim.
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Technology

The Future of Majid Al Futtaim

  1. Slide 1: None
  2. Slide 2: How do you turn a large retail and property enterprise into a technology business?
  3. Slide 3: None
  4. Slide 4: Majid Al Futtaim’s biggest challenge and its biggest advantage is its physical infrastructure
  5. Slide 5: How do you take that infrastructure and digitise it to allow it to be consumed both internally and externally?
  6. Slide 6: MAF LABS
  7. Slide 7: Today
  8. Slide 8: MAF LABS is an agile, fast, lean team of technologists compromising of Product, Engineering and UX specialists that can be dropped into projects across the organisation
  9. Slide 9: Tomorrow
  10. Slide 10: MAF LABS will own and operate various platforms, API services and will infuse a technology based approach across Majid Al Futtaim
  11. Slide 11: The Little-Bit-Further Future
  12. Slide 12: MAF LABS’ ultimate purpose is to turn every major function at Majid Al Futtaim into an API based service that can be consumed both internally and externally
  13. Slide 13: Everything Must Change
  14. Slide 14: MAF LABS becomes the catalyst to evolve Majid Al Futtaim from a provider of physical retail infrastructure into a technology business that provides physical infrastructure as a ser
  15. Slide 15: Today >> Tomorrow >> Future Projects >> Platforms & APIs >> PIaaS
  16. Slide 16: MAF LABS
  17. Slide 17: Why PIaaS?
  18. Slide 18: Turn our biggest challenge into our biggest opportunity. Digitise our physical infrastructure as the ultimate offence in an e-commerce world
  19. Slide 19: But merely digitising our infrastructure to meet our own needs is not enough. The real opportunity is to be the provider of choice for everyone else
  20. Slide 20: An internal services approach ensures that we’re always consuming our own services building an automatic feedback loop that results in the best external services
  21. Slide 21: Turning everything into an external service allows others to access, learn and contribute to our data and service set, creating a robust competitive moat
  22. Slide 22: MAF LABS is what AWS is to Amazon versus what Google X is to Google
  23. Slide 23: Examples
  24. Slide 24: Vox User Journey (Platform Example)
  25. Slide 25: Improve user journey to increase yield and margin by allowing the purchase of food and drink through all digital channels Profile customers and learn their preferences to allow eas
  26. Slide 26: Vox Pricing Engine (API Example)
  27. Slide 27: Drive better yields during slow and fast periods by working with multiple price points Ticket pricing will adjust based on a bunch of factors including customer profile, location,
  28. Slide 28: Mall Checkout (PIaaS Example)
  29. Slide 29: Check In to the mall on entry with your device Create customer profiles, learn and know customer navigation and purchase history Checkout out at any outlet across the mall, or acro
  30. Slide 30: Mall Dashboard for Tenants (PIaaS Example)
  31. Slide 31: Mall Dashboard for Tenants = AWS Console for Amazon Web Services Provide visitor data, performance data, checkout activity, returns activity and repeat purchase rates Provide compe
  32. Slide 32: Why, How, Who, When
  33. Slide 33: Why? This is the future of physical retail
  34. Slide 34: How Start by using best of breed platforms, ideally open source and knit together internal platform and API offerings Over time, replace third party platforms with internal technolo
  35. Slide 35: Approach Pick one or two projects (e.g. Carrefour) that have the highest need today Allow the team to stay focused by not taking on too much at a time Increase scope as resource av
  36. Slide 36: Team Product, Engineering and UX supported by Catalogue, Content, Localisation and other functions. Add Data Science, ML and AI in the near future Team of 35+ available to hire imm
  37. Slide 37: Culture MAF Labs should initially be at arms length and be allowed to create its own sub culture that reflects that of a technology organisation Not shorts and sandals, but open, c
  38. Slide 38: Funding Commitment of $Xm over three years Internal capital to access the right people, technology platforms and cover administrative costs
  39. Slide 39: Revenue Model MAF LABS will initially be a cost centre but will derive a variety of revenue models both internally and externally Deployment and transaction based billing on platfo
  40. Slide 40: Incentives Equity or Phantom Equity (likely to be more palatable) to provide the team with upside based on impact to the business Measured through an increase in MAF LABS’ share pr
  41. Slide 41: Omar Kassim ok@xxxxxxxx.com +97150XXXXXXX

A hypothetical deck that I put together in the summer of 2017 imagining the future of Majid Al Futtaim, one of the Middle East's largest mall, retail and leisure operators.

Originally published on SpeakerDeck · 2,351 views. Counts captured on 8th November 2026.

Slide text

Text extracted from the preserved PDF. Charts and illustrations are shown in the slides above.

Slide 1

None

Slide 2

How do you turn a large retail and property enterprise into a technology business?

Slide 3

None

Slide 4

Majid Al Futtaim’s biggest challenge and its biggest advantage is its physical infrastructure

Slide 5

How do you take that infrastructure and digitise it to allow it to be consumed both internally and externally?

Slide 6

MAF LABS

Slide 7

Today

Slide 8

MAF LABS is an agile, fast, lean team of technologists compromising of Product, Engineering and UX specialists that can be dropped into projects across the organisation

Slide 9

Tomorrow

Slide 10

MAF LABS will own and operate various platforms, API services and will infuse a technology based approach across Majid Al Futtaim

Slide 11

The Little-Bit-Further Future

Slide 12

MAF LABS’ ultimate purpose is to turn every major function at Majid Al Futtaim into an API based service that can be consumed both internally and externally

Slide 13

Everything Must Change

Slide 14

MAF LABS becomes the catalyst to evolve Majid Al Futtaim from a provider of physical retail infrastructure into a technology business that provides physical infrastructure as a service (PIaaS)

Slide 15

Today >> Tomorrow >> Future Projects >> Platforms & APIs >> PIaaS

Slide 16

MAF LABS

Slide 17

Why PIaaS?

Slide 18

Turn our biggest challenge into our biggest opportunity. Digitise our physical infrastructure as the ultimate offence in an e-commerce world

Slide 19

But merely digitising our infrastructure to meet our own needs is not enough. The real opportunity is to be the provider of choice for everyone else

Slide 20

An internal services approach ensures that we’re always consuming our own services building an automatic feedback loop that results in the best external services

Slide 21

Turning everything into an external service allows others to access, learn and contribute to our data and service set, creating a robust competitive moat

Slide 22

MAF LABS is what AWS is to Amazon versus what Google X is to Google

Slide 23

Examples

Slide 24

Vox User Journey (Platform Example)

Slide 25

Improve user journey to increase yield and margin by allowing the purchase of food and drink through all digital channels Profile customers and learn their preferences to allow easy repeat purchases Recommendations based on what other customers purchased, type of film, seasonality and what’s in stock Improve physical user journey by creating pickup only counters to skip the queue Use digital channels to test new items, bundling and experiences Use data to influence stock levels, new selection and pricing

Slide 26

Vox Pricing Engine (API Example)

Slide 27

Drive better yields during slow and fast periods by working with multiple price points Ticket pricing will adjust based on a bunch of factors including customer profile, location, time of day, weather, time of year, type of film and popularity of film Sell into new internal channels (e.g. cross listing THEATRE by Rhodes with hotel experiences) Sell through external channels such as third party booking engines and new experiences, e.g. Cinema tickets with Google Maps

Slide 28

Mall Checkout (PIaaS Example)

Slide 29

Check In to the mall on entry with your device Create customer profiles, learn and know customer navigation and purchase history Checkout out at any outlet across the mall, or across malls Create personalised recommendations, deals and other loyalty opportunities Provide direct consumer financing and other opportunities based on profile, purchase history and other activity Create an internal mall economy to kill external transaction costs and batch process and net settle merchants

Slide 30

Mall Dashboard for Tenants (PIaaS Example)

Slide 31

Mall Dashboard for Tenants = AWS Console for Amazon Web Services Provide visitor data, performance data, checkout activity, returns activity and repeat purchase rates Provide competitor and category data as well as recommendations on areas of improvement, e.g. stock levels Provide global view of how tenant’s locations are performing versus peers Ability to bid on new or newly available locations Real time bidding on digital advertising across all mall properties Services for key channels such as Carrefour. E.g. cross listing, advertising opportunities and sell through data

Slide 32

Why, How, Who, When

Slide 33

Why? This is the future of physical retail

Slide 34

How Start by using best of breed platforms, ideally open source and knit together internal platform and API offerings Over time, replace third party platforms with internal technology built specifically for our use cases Owning and controlling the technology layer is a key differentiator and will be the core of our competitive moat

Slide 35

Approach Pick one or two projects (e.g. Carrefour) that have the highest need today Allow the team to stay focused by not taking on too much at a time Increase scope as resource availability increases and as approach starts to show measurable results Other initial functions include helping with technology identification and roll out of devices, sensors and end user technology Provide high level training and outlook Assess M&A and investment opportunities

Slide 36

Team Product, Engineering and UX supported by Catalogue, Content, Localisation and other functions. Add Data Science, ML and AI in the near future Team of 35+ available to hire immediately Hire remotely as appropriate. Incredible talent that can propel progress but may not want to move to Dubai. Aim for the best talent, regardless of location Strong existing experiences of environment, policy and tooling to allow effective remote working

Slide 37

Culture MAF Labs should initially be at arms length and be allowed to create its own sub culture that reflects that of a technology organisation Not shorts and sandals, but open, collaborative, fast and commercially focused using tools like Slack, GitHub and a host of others. Casual, but not informal Own set of core values that reflect Majid Al Futtaim but also embrace the ethos of a technology business Take the best parts of this new culture and eventually allow it to permeate across Majid Al Futtaim

Slide 38

Funding Commitment of $Xm over three years Internal capital to access the right people, technology platforms and cover administrative costs

Slide 39

Revenue Model MAF LABS will initially be a cost centre but will derive a variety of revenue models both internally and externally Deployment and transaction based billing on platforms deployed internally Transaction and service consumption based billing on use of APIs both internally and externally Free tier to encourage use and lock-in

Slide 40

Incentives Equity or Phantom Equity (likely to be more palatable) to provide the team with upside based on impact to the business Measured through an increase in MAF LABS’ share price via revenue booked and other measures This is an important tool to create the right incentive culture and attract the best talent to MAF LABS and therefore MAF

Slide 41

Omar Kassim [email protected] +97150XXXXXXX

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