Lilleo: Social Ecommerce Platform
In 2016 I was asked to research, invent, and design a mobile shopping platform that would facilitate impluse purchases. At the time there were only two major actors succeeding in this space, Wish and Spring. Together with a small team I documented both the strengths and weakness of the two plateforms approach. This information was heavy augmented with additional scholarly research into purchacing behaver and impulse buying.
The end result is a navigation system and wireframe that solved the three common issues inherent to mobile shopping: trust, speed, and discoverability.
The Key To Good Pricing Is Trust
The biggest finding of the teams achidemic research, came from highly sufficisticated study of online shopping and pricing. The team was able to prove over and over again that the number one factor in selling at a good price is trust by the purchacer.
The Lilleo model HHH this idea, by integrating customer service reprecentatives in live chat to anyone anywhere in the application. It is a primary navigation item. This helps build trust between the customer and the vendor. Second, like many ecommerce platforms, Lilleo allows users to rate and comment on its products. And finally, trust is also acheived through payment options. Many users see PayPal as a safer checkout option than Visa, while others may prefer a Visa to PayPal.
And finally, Lilleo was intentially conceived as a mobile application, rather than a website, because people trust applications more than websites
Speed and Checkout
Impulse purchases are made without research, comparison, or planning. Thus, removing all delays in mobile checkout is the first step toward impulse purchancing. This is challenging because entering standard ecommerce data such as shipping and billing addresses are time consuming and awkward on most mobile devices.
Through careful design and implimentation of ApplePay I was able to remove six steps in the process and virtual distance between points substantially.
Speed and Navigation
There are two types of discovery: first, finding a specific item, and two, discovery new intersting items.
Both types are representented and optimized in the Lilleo model, by first flattening the site down to only three distinct layers (home, category, and item), and by integrating machine learning and analytics into the sort.
The result, after careful design, is that any item is only three clicks away from any other item, without search.
Status And Conculsion
At the time of it's creation, Lilleo represents months of research and design, in combination with the best practices from the most cutting edge ecommerce/mobile sites.