Meet Mona, the World’s Smartest Personal Shopper

Meet Mona, the World’s Smartest Personal Shopper

Former employees are about to change the identity of personal shopping through a pyramid of personalization, simplification and aggregation

Christina Mauro
  • 24 june 2015

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.

The team uses technology and software that enable the application to think on behalf of the user. Leveraging machine learning functions on a more humane level than its competitors, Mona tailors style recommendations and tracking products that may need replaced (read: six-month old gym shoes). The app gives consumers the tools necessary to input preferred sizes, styles, brands and budgets which over time help inform a more personal, effective experience.

In speaking with the team about the development process, Mona Co-Founder Orkun Atik emphasizes the importance of research and taking into consideration hundreds of experiments and recommender systems to yield a beautiful and smart experience.

One-size-fits-all experiences also put the burden on consumers. Most shopping sites are cluttered with mechanical features, merchandising widgets and advertising. We believe that these issues can be solved by personalization, simplification and aggregation.

The Mona Beta launch, available on iTunes June 24, will offer a number of features. Each feature aims to cut through the noise of online shopping by working seamlessly with the customer’s email inbox to feature only the best selection of items that match the user and his-her interests. To progress with a purchase, the user is connected directly with the brand page to complete the transaction; however, the team envisions in-app purchasing in the near future.

The development team has a number of hopes for Mona. From voice integration services to single-tap returns, they promise continuous improvement to a typically laborious purchasing process. As consumer input continues to shape the functionality and user experience, brands can utilize Mona to create a hyper-personal 1-1 channel between buyer and seller, and to optimize brick-and-mortar retail experiences.


While personal assistance apps are becoming increasingly more common, Mona focuses on key attributes to break the one-fits-all model. As culture continues to adopt such technologies, the increase of trend turnaround will impact big brands and ultimately redesign the way in which we consider and consume fashion.


+fashion / apparel
+fitness / sport
+Market Research
+personal assistance apps

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