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The Future of Majid Al Futtaim

The Future of Majid Al Futtaim

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.

Omar Kassim

May 30, 2017
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  1. View Slide

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

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  3. View Slide

  4. Majid Al Futtaim’s biggest challenge and its 

    biggest advantage is its physical
    infrastructure

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

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  6. MAF LABS

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  7. Today

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  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

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  9. Tomorrow

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  10. MAF LABS will own and operate various
    platforms, API services and will infuse a
    technology based approach across 

    Majid Al Futtaim

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  11. The Little-Bit-Further Future

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  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

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  13. Everything Must Change

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  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)

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

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  16. MAF LABS

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  17. Why PIaaS?

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

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  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

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  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

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  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

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

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  23. Examples

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  24. Vox User Journey

    (Platform Example)

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  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

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  26. Vox Pricing Engine

    (API Example)

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  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

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  28. Mall Checkout

    (PIaaS Example)

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  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

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  30. Mall Dashboard for Tenants

    (PIaaS Example)

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  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

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  32. Why, How, Who, When

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  33. Why?

    This is the future of physical retail

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  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

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  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

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  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

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  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

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  38. Funding

    Commitment of $Xm over three years

    Internal capital to access the right people, technology platforms and
    cover administrative costs

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  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

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  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

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  41. Omar Kassim
    [email protected]
    +97150XXXXXXX

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