Product review: Ray-Ban virtual try on

I was keen to try Ray-Ban’s recently introduced virtual capability to see if it helps in figuring out the best sunglasses for me:

 

 

I have to admit, it initially wasn’t obvious to me how I could try on this pair of sunglasses, the “try them on” call to action underneath the product didn’t stand out to me. When I click on this call to action, I’m first being asked to enable my camera:

 

The process of putting your head within the exact dimensions of oval feels a bit fiddly; perhaps it’s the funny shape of my head which makes it harder to figure out where to best position my glasses? As soon as even the tiniest fraction of my head appears outside of the oval, the “Is anyone there?” message appears.

 

 

Even when it seems that my dimensions have been grasped – indicated by the “Good, stay still while fitting glasses” – as soon as I move my head, the the “Is anyone there?” message appears again.

 

 

Perhaps I should set my expectations more realistically, but it feels that the sunglasses are simply slapped onto my face, and I feel I’m not getting the best sense of how these glasses would look on me (in real life).

Adjusting the frame or changing the colour of the glasses, involves going through the process of the virtual mirror capturing my dimensions. I expected this process to be a one-off exercise, making trying on new glasses, in a variety of colours or with frame adjustments, more seamless.

 

Main learning point: While the experience of trying on sunglasses virtually feels a bit clunky and unrealistic at times, it still provides a good first indicator of which sunglasses could be a good fit for the customer.

App review: Forest

My quick summary of Forest before using the app – I think I first heard Nir Eyal, who specialises in consumer psychology, talk about Forest. Given that Nir mentioned the app, I can imagine Forest impacts people behaviour, helping them achieve specific outcomes.

How does Forest explain itself in the first minute? – “Stay focused, be presented” is Forest’s strap line which I see first. This strap line is followed swiftly followed by a screen that says “Plant a Tree” and explains that “Whenever you want to focus on your work, plant trees.” This suggests to me that Forest is an app which aims to help people focus on their work and eradicate all kinds of distractions.

How does Forest work? – The app first explains its purpose in a number of nicely designed explanatory screens.

After clicking “Go”, I land on a screen where I can adjust time; presumably the time during which I want to focus and avoid any interruptions.

I set the time at 10 minutes and click “Plant”. I love how, as the time progresses, the messages at the top of the screen keep alternating, from “Don’t look at me!” to “Don’t look at me!” to “Hang in there!” Nice messages to help keep me focus and not fall prey to checking my phone. At any stage, I can opt to “Give up” which presumably means that the tree that I’ve been planting – through staying focused – will be killed.

I’m motivated to see this through and plant my first tree. When I complete my 10 minutes of uninterrupted time, I expect to see a nice tree right at the end of it. Try and imagine my disappointment when I don’t see a tree but instead am encouraged to create a Forest account.

Did Forest deliver on my expectations? – I can see how Forest helps people to focus and avoid checking their phone constantly. Just want to explore the gamification element of the app a bit more.

Product review: Rocket Mortgage’s Instant Mortgages

Can the whole process of getting a mortgage made a lot easier!? Whether you’re looking to buy a home or refinance your current one, the mortgage process can be a real pain in the neck: slow, stressful and opaque. Given the emergence of players such as Trussle, Habito – both UK-based online mortgage brokers – and my professional interest from leading product at Settled, I’m keen to explore this further.

Let’s start with a look at Rocket Mortgage, an “instant mortgage” product by Quicken Loans.

My quick summary of Rocket Mortgage before using it: I expect a product that makes it very quick and easy for a me as a consumer to apply for a mortgage.

How does Rocket Mortgage explain itself in the first minute: “You May Be Surprised to See How Much You Can Save – Can’t Hurt to Look” and “We’ve Reinvented the Mortgage Process to Put the Power in Your Hands” are two strap-lines on Rocket Mortgage homepage that stand out to me. Both lines are ‘above the fold’ and do make me curious to learn more about what Rocket Mortgage does (differently) to established mortgage providers.

How does Rocket Mortgage work? Mortgage applicants can submit their personal and financial information online (“Share Your Info”), and they receive a mortgage quote in return. This initial quote can be reviewed and customised to meet one’s personal needs and circumstances (“Explore Your Options”).

Let’s look at the individual steps in more detail:

User answer pre-approval questions

To apply for a Rocket Mortgage loan, you’ll first need to create an account by entering your name and email address, followed by choosing a password. Once you’ve clicked the “Save & Continue” button, you’ll be presented with a number of questions about your personal situation, both from a personal and a financial point of view:

User uploads personal assets

Rocket Mortgage will connect to your bank account(s) and your asset information will then be uploaded automatically onto the platform. You can then update the information or remove assets from consideration from your mortgage application, , after the boxes have been auto-filled. With the advent of PSD2 and open banking, I expect loads of US mortgage lenders and startups to enable a similar synchronisation with a user’s personal accounts.

If you have any other financial assists, like investments in shares via platforms such as Betterment and Wealthify, you will need to enter this data manually as well as related documents. The same applies to Rocket Mortgage requiring you to enter specific info to be able to generate a personal credit report and score. In future, I expect platforms like these to seamlessly integrated with credit score companies like Experian and Equifax.

User explores options

 

User obtains a mortgage rate

Once you’ve locked down a mortgage rate, there’s a separate Rocket Mortgage online tool which lets you finalise the mortgage.

Who else is doing this? I had a brief look at “mello”, the digital loan platform by loanDepot, and the product and its experience feels quite similar to Rocket Mortgage. In the UK, Molo is a new player on the scene, promising to “reimagine mortgages.”

Main learning point: It’s clear for everyone to see that these players are aiming to make the experience of applying for a mortgage as intuitive, transparent and quick as possible.

 

Related links for further learning:

  1. https://www.highya.com/rocket-mortgage-reviews
  2. https://techcrunch.com/2015/11/24/this-could-be-the-mortgage-industrys-iphone-moment/
  3. https://studentloanhero.com/featured/quicken-loans-review-rocket-mortgage/
  4. https://digit.hbs.org/submission/quicken-loans-rocketing-forward-the-digital-mortgage/
  5. https://www.nerdwallet.com/blog/mortgages/for-rocket-and-its-rivals-mortgage-advice-is-next/
  6. https://www.nerdwallet.com/blog/mortgages/loandepot-mortgage-loans-review/
  7. https://www.loandepot.com/blog/inside-look-loandepot-mello
  8. https://www.roostify.com/
  9. https://molofinance.com/

Why Square and Klarna are looking to become banks?

Just a short post this time, as I just wanted to share my excitement about the likes of Square and Klarna becoming banks (eventually). As an outsider looking in, I can see the rationale for companies like Square and Klarna, payments platforms, for becoming full blowing banking entities:

  1. Logical extension of the payments ecosystem – Given that Square and Klarna already process payment transactions for thousands of merchants and their customers, it means that they’ve got a strong foot in the door with small businesses. It therefore makes total sense to offer new products and services to both merchants and their customers.
  2. Data, data, data – I can imagine that with the amount of transactional data being processed, Square and Klarna no doubt have built up great customer and merchant data profiles, and are now looking to further monetise on this customer understanding. Offering lending products jumps out at me as a key reason for Square and Klarna wanting to become banks. This pattern fits well on the trend involving challenger banks like Monzo and Chime starting out with limited features, but gradually expanding into fully fledged bank accounts.
  3. Regulatory relationships – As Square and Klarna start offering more bank-like products and services, they’ll need to put robust regulatory compliance frameworks in place. Establishing regulatory relationships by becoming a bank helps with establishing these frameworks.
  4. Hook at point of sale – Being able to engage with both consumers and merchants at the point of sale feels like a pretty strong hook to me! Loved how backend payment platform Adyen recently got valued at $8.3 billion, and it shows you that the financial sector is way off from calming down.

Main learning point: Whilst there are concerns about small businesses being impacted negatively by the likes of Square becoming banks, I’m excited by the ongoing disruption of the financial sector. Recent applications for banking licenses by Square and Klarna are a sign that the Fintech startups and challengers are scaling. As long scaling doesn’t happen at the detriment of the customer – both consumers and merchants – this can only be a good thing!

 

 

 

 

Related links for further learning:

  1. https://www.cnbc.com/2018/05/18/square-stumbles-into-the-banking-business.html
  2. https://www.americanbanker.com/news/the-story-behind-squares-bank-charter-application
  3. https://techcrunch.com/2017/06/19/klarna-gets-a-full-banking-license-gears-up-to-go-beyond-financing-payments/
  4. https://www.pymnts.com/news/banking/2017/square-makes-its-big-move-on-banking/
  5. https://bankingblog.accenture.com/might-fintechs-become-banks
  6. https://techcrunch.com/2017/03/23/revolut-launches-a-premium-subscription-and-starts-raising-a-new-round/
  7. https://techcrunch.com/2018/05/31/no-fees-mobile-banking-service-chime-raises-70m-series-c-valuing-its-business-at-500m/
  8. https://www.bloomberg.com/news/articles/2018-06-05/it-took-a-1-billion-ipo-for-everyone-to-see-why-adyen-matters

What’s so special about SenseTime!?

Question: What do the following products have in common?

Product 1 — Smart glasses worn by Chinese police officers

https://techcrunch.com/2018/02/08/chinese-police-are-getting-smart-glasses/

These smart glasses connect to a feed which taps into China’s state database to detect out potential criminals using facial recognition. Officers can identify suspects in a crowd by snapping their photo and matching it to their internal database.

Product 2 — Wrong360, a peer-to-peer lending app

               https://technode.com/2013/06/24/rong360-online-financial-product-search-platform/

Wrong360 is a Chinese peer-to-peer lending app which aims to make obtaining a loan as simple as possible. When users of the Wrong360 app enter the amount of loan, period, and purpose, the platform will automatically do the match and output a list of banks or credit agencies corresponding to the users’ requests. On the list, users can find the institution names, products, interests rate, gross interests, monthly payment, and the available periods, etc. Applying for a loan can done fully online, and the app uses facial recognition as part of the loan application process.

Product 3 — Security camera

Security cameras in public places to help police officers and shopkeepers by improved ways of face matching. Traditionally, face matching is based on trait description of someone’s facial features and the special distance between these features. Now, by extracting the geometric descriptions of the parts of the eyes, nose, mouth, chin, etc. and the structural relationship between them, search matching is performed with the feature templates stored in the database. When the similarity exceeds the set threshold, the matching results are shared.

                                                         http://www.sohu.com/a/163629793_99963310

 

Product 4 — Oppo mobile phone

                                      https://www.notey.com/blogs/device-SLASH-accessories?page=4

 

Oppo specalise mobile photography and uses artificial technology to enable features such as portrait photo-taking, bi-camera photo-taking, and face grouping.

Question: What do the following products have in common?

Answer: They’re all powered by SenseTime artificial technology.

Whether it’s “SenseTotem” — which is being used for surveillance purposes — or “SensePhoto” — which uses facial recognition technology for messaging apps and mobile cameras — it all comes from the same company: SenseTime.

The company has made a lot of progress in a relatively short space of time with respect to artificial intelligence based (facial) recognition. The Chinese government has been investing heavily in creating an ecosystem for AI startups, with Megvii as another well known exponent of China’s AI drive.

A project with the code name “Viper” is the latest in the range of products that SenseTime is involved. I’m intrigued and slightly scared by this project which is said to focus on processing thousands of live camera feeds (from CCTV, to traffic cameras to ATM cameras), processing and tagging people and objects. SenseTime is rumoured to want to sell the Viper surveillance service internationally, but I can imagine that local regulations and data protection rules might prevent this kind of ‘big brother is watching you’ approach to be rolled out anytime soon.

Main learning point: It seems that SenseTime is very advanced with respect to facial recognition, using artificial intelligence to combine thousands of (live) data sources. You could argue that SenseTime isn’t the only company building this kind of technology, but their rapid growth and technological as well as financial firepower makes them a force to be reckoned with. That, in my mind, makes SenseTime very special indeed.

Related links for further learning:

  1. The billion-dollar, Alibaba-backed AI company that’s quietly watching everyone in China
    Most Chinese consumers have likely never heard of SenseTime. But depending on where they live, it might be looking at…qz.com
  2. This Chinese Facial Recognition Surveillance Company Is Now the World’s Most Valuable AI Startup
    SenseTime raised $600 million from Alibaba and others at a valuation of over $3 billion, becoming the world’s most…fortune.com
  3. China Now Has the Most Valuable AI Startup in the World
    has raised $600 million from and other investors at a valuation of more than $3 billion, becoming the world’s most…www.bloomberg.com
  4. China’s SenseTime, the world’s highest valued AI startup, raises $600M
    The future of artificial intelligence (AI), the technology that is seen as potentially impacting almost every industry…techcrunch.com
  5. Chinese police are using smart glasses to identify potential suspects
    China already operates the world’s largest surveillance state with some 170 million CCTV cameras at work, but its line…techcrunch.com
  6. Facial Recognition in China with SenseTime – Nanalyze
    If you’ve spent any meaningful amount of time in a managerial role, you probably understand the importance of having a…www.nanalyze.com
  7. Rong360: Online Financial Product Search Platform · TechNode
    Launched in 2011, Rong360 operates an online financial product search platform providing loan recommendations for small…technode.com
  8. OPPO and SenseTime Jointly Build an AR Developer Platform
    OPPO and SenseTime Jointly Build an AR Developer Platform (Yicai Global) March 19 — Chinese handset maker Guangdong…www.yicaiglobal.com
  9. About Us – OPPO Global
    OPPO is a global electronics and technology service provider that delivers the latest and most exquisite mobile…www.oppo.com
  10. Megvii, Chinese facial recognition startup with access to government database, raises $460 million
    Megvii Inc., a facial recognition development startup also known as Face++, raised about $460 million from the…www.fastcompany.com