Decoded Fashion - Weekly Stories - Uber
Image source: Uber Rush

With a proposed $50bn valuation around the corner and rides in London alone growing at 5x to 6x per year, Uber’s position as the benchmark for creating real-life convenience from mobile technology has been firmly cemented. As the taxi service continues to expand at mind-boggling speed, other industries are looking for ways to Uber their own offerings. How can fashion retailers capitalise on the growing opportunities of the new convenience economy? This is one of the questions that panellists will work towards answering for audience members at our New York Summit this October.

Among those panellists will be Orkun Atik, the founder of a new start-up that promises to make personal shopping as smart as getting around the city. Currently in beta and invitation-only, Mona is an app that helps users find personalised real-time deals. A standout feature is ‘Mission’, which aims to emulate how individuals tend to shop in real life. Are you the kind of person who sets out onto the high street with a specific shopping goal? The app keeps you up to date on exactly what you’re looking for, so you can avoid rifling through the racks.

Mona is just one of a growing list of shopping apps that hope to meet consumers’ growing expectations for ultimate convenience through personalisation. Grabble emphasises the “hand-picked” nature of its shopping recommendations, as though you were shopping with a real stylist. Meanwhile, Net-A-Porter’s new social network The Net Set has a Shazam-like feature that recognises images – for instance, a photo of a dress you spotted someone wearing in a café and uploaded – and then matches the look to an item sold on its website. You can also upload your inspiration pictures – flowers, a beach scene – and the app will channel that into recommendations for clothes and accessories that fit the mood.

Let’s not forget Uber itself, which is making a play for the home delivery market with super-speedy service Uber Rush. Currently available in NYC, the service lets you request, track and confirm deliveries from A to B as easily as if you were requesting a car. While it’s not a direct target for the fashion retail market, it reflects the industry’s current battle for the quickest at-home delivery. Could next-day delivery soon be one-hour delivery? Matches and Net-A-Porter are currently leading the way, offering same-day delivery for their offerings. But with Amazon proposing its own slice of airspace for its high-speed aerial drone deliveries this week, the future of high-speed deliveries could play out in the skies rather than on the roads.

Registrations are now open for Decoded Fashion’s NYC Summit. Check out the full agenda here and reserve your place.

Reported by Claire Healy

Decoded Fashion - Weekly Stories - Mona
Image source: TechCrunch

Seattle-based tech firm Mona – founded by former employees of Amazon – has released an eponymous app which aims to create the ultimate personalised mobile e-tail experience through data intelligence and personal assistance.

Mona tracks every interaction with the app as shoppers browse the available product selection (currently composed of 100 of the top 300 fashion retailers in the US) to create a personalised product offering that evolves with each tap. To improve suggestions from the get-go, Mona mines consumers’ emails once they connect with the service – looking through inboxes for marketing newsletters, order confirmations and receipts.

Doubling up the personalised experience with an assistance aspect that pulls it beyond the limitations of pure algorithms, Mona also offers “missions” – a service designed to challenge the traditional browse-and-search shopping model. For example, Mona can be tasked with a mission to notify a user when a particular pair of boots in their size and preferred colour becomes available, or goes on sale.

Outlining the value in capturing consumer missions, founder Orkun Atik remarks: “We have strong intent for purchase in the form of missions from consumers. We can connect that purchase intent from the buyers with the sellers in a more efficient way than other marketplaces.”

An undoubted concern for some may be the intrusion of privacy required in order to craft such a personalised experience – all emails are scoured to create the best matches. However, many younger consumers are already willing to trade privacy for more relevant, speedier shopping journeys or discounts.

Guest post by Saeed Al-RubeyiKatie Baron


“The e-commerce world just a whole lot smarter. A Seattle-based team of former Amazon employees bring to life your new personal shopping assistant, Mona. Set to redefine retail consumption, the consumer-centric app merges personal assistance and data intelligence to create the ultimate personal shopping experience.”

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Decoded Fashion - Fashion Tech Daily - Mona