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

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.

READ THIS ARTICLE FOR $15
$15 provides access to this article and every case-study, interview, and analysis piece that we publish for the next 30 days. Our Premium Subscription also provides access to a database of over 100,000 articles on innovation in brand, customer, and retail experience.
Already a subscriber? Log in