PWA App Platform

The project started with the goal of improving the conversion rate of application forms for service and product purchases.
In order to reduce customer abandonment, we introduced a function that remembers what the customer has entered in the form and automatically restores the past entries when the customer revisits the form, and a system that reduces the customer's input load by capturing camera photos and transcribing the text.

Technically, the project was built using AWS Lambda, with a policy of aiming for a completely pay-as-you-go system by utilizing AWS to achieve a serverless architecture. For the development language, TypeScript was introduced to unify the front-end and back-end development languages. For the front-end, React was introduced to realize PWA, and for the back-end, Express was introduced to improve productivity. After careful consideration, we decided to use Google Vision API only for the image loading part.

Although we were able to achieve certain results in terms of reducing abandonment rates and improving UX, the project made us keenly aware of the need to work on daily improvements without being satisfied with the status quo, as general consumers' expectations for UX are increasing day by day.