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Tinder-style ecommerce apps have been gaining momentum of late.
Tunsy uses this same addictive UI but, interestingly, it's a marketplace, where multiple retailers can find customers.
I got the inside story from Mehdi Boumendjel, co-founder and CCO.
In one sentence, what is your product/service?
Tunsy is the ultimate shopping app. It learns from your choices to push you more and more products you may love thanks to our machine learning algorithm.
What problem(s) does it solve?
1. Learning what you like and don't like:
Emmanuel & I are not what we may call fashionistas but the fact is we want to look great.
The problem is that we do not have the time and patience for shopping, whether we still know what we like or not.
That’s where Tunsy arrives. The more we swipe, the more the app learns about what we like and don’t like.
So, the more you use the app, the less you have to search for something you may like.
2. Multi-retailer shopping:
We are a marketplace working now with big brands but we want to be accessible to every retailer.
If you have three products in your cart (one from Macy’s, one from ASOS and the last one from Topshop), you won’t have to pay three times.
You just pay once without leaving the app (ever) and receive all your products from these retailers.
What were the biggest challenges involved in building the tech or growing your team?
The biggest challenge is all about making the app as easy as possible even if the tech side is really complicated. That’s what we love: making things look simple.
I find myself really lucky with the team we have.
We've come through good and bad times together and I wouldn't change this team for anything in the world.
How will the company make money?
That’s the best part of Tunsy.
Since we focus all our efforts on making the app user-centric, our business model is going this way too.
We want no commission and no margin on the products we sell. We’re aiming to build a perfect retail platform focused on data.
To explain that in an easy way, we want to be the Facebook ads of retailing by selling visibility and allowing retailers to target their products to the audience who might like it (again using machine learning).
Where would you like to be in one, three and five years' time?
In a year we want to start promoting the app with a dedicated budget and making it more social by updating and A/B testing the features we have already designed.
In three years, we want to be able to plug in any retailer who wants to join Tunsy, allowing smaller retailers to gain online visibility, to test their products and to sell them.
In five years comes the interesting part. One of our board members (CEO of one of the biggest clothing brands in the world) has got a problem. He needs to drive people from digital to physical stores, connecting online and offline.
Storytelling time again:
You swiped a Lacoste shirt to your wishlist and maybe forgot about it or maybe your size was out of stock online.
You’re walking along the high street and arrive in range of a Lacoste store (300 metres). You get notified - The Lacoste Shirt you liked is available in your size at the Lacoste store 300 metres away.
The Lacoste store gets notified too and is able to prepare everything for your arrival - Ben is on his way to the store for the Lacoste Shirt size X, please show him some love, Tunsy.
Who is in your team?
Other than your own, what are your favourite websites/apps/tools?
I’ll make this one quick, there's one app that I really love (and it took me some time to fully appreciate it). Snapchat.
What I love is not just the communication system but how they made it look so simple. It's easy to use and addictive.
I have lots more to say about it, probably too much, you should just follow me on Snapchat (@madouche) if you want to know more. :)
For more on Tinder UIs in ecommerce read How Tinder has changed ecommerce.