Shopping Mall Giant Garners Visitor Insights Through API Integrations
About
Mobile Fringe is a top-rated software development company specializing in creating dynamic, highly scalable applications for clients. They believe their passion and enthusiasm stems from years of experience and the desire to provide superior customer service at all times! In addition, they wanted a retail store development that could enhance their visitors’ experience.
Project Highlights
We have developed a responsive website that streamlines the provided design, using Mall Maverick API and CMS platform. The data will be fetched asynchronously from the Mall Mavericks API to support this quick shopping center application. We delivered both desktop and mobile versions depending on the client’s demand. Our designers were able to create an elegant layout in Adobe XD that are easily visible on different platforms like tablets & smartphones.
The Challenges
- Pixel Perfect UI/UX:The brand was particular about the look and feel of the entire website.
- Innovative 3D Map Integration:The client wanted to facilitate all necessary shop details to visitors through the website.
- Manage Filter Interactions:They desired an advanced filter so that visitors could run quick searches.
- Real-Time Analytical Reports:The client wanted a real-time analysis of visitors’ activities on the website.
Tech Stack
NodeJS
Vue.js
Bootstrap
Slack
Adobe XD
Mall Maverick API
Nuxt.js
Result
Implementation of Content Management System
The successful implementation of a single back-end shopping center and content management system made the website more functional. In addition, the use of appealing UI/UX improved the overall visitor journey.Quick Store Search
A 3D map allowed visitors to quickly search for stores they wanted to visit and their location at the mall.Alphabetic Search
The use of the JavaScript module and Ajax on the website facilitated increased search results and in alphabetic order.Improved Engagement
The real-time updates on visitor activities assisted the client with the most visited stores and other details. These details were further used to customize the visitor’s journey.
