endorsedCompleted

Web App and AI Integration for Social E-Commerce Platform

Services Covered:

AI and Machine Learning • Custom Software Development • Website Development

Industry

E-commerce & Retail

Duration

9 months

Budget

10K - 49K

Start Date

1 January 2023

Team Size

6-10 Employees

Engagement Model

Onshore

Project Capability Score (PCS)

80/100

Strong

Project Capability Score (PCS) estimates how capable Empat is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

WeBeJoy

San Francisco, United States of America

Project Summary

Empat developed the web application for a social e-commerce platform, building frontend features with Vue.js and JavaScript and backend services using PHP and Laravel, and deployed the app on AWS. They integrated Algolia search and AI-driven features to improve recommendations and personalization. The engagement increased user ratings and drove a 20% increase in revenue while improving traffic and engagement metrics.

Key Challenges

Backend development
Frontend development and UI/UX improvements
Product design
Product management

Project Deliverables

Enhanced frontend design and responsive UI
Optimized backend infrastructure (PHP Laravel)
Web app deployed on AWS
Design assets and collaboration via Zeplin
Algolia search integration
AI integration and continuous model refinement
Regular status reports and project updates

Project Solution

Empat delivered frontend development using Vue.js to enhance the UI/UX and ensure responsive design, and backend development using PHP Laravel to optimize performance and scalability. The team deployed the web app on AWS, integrated Algolia for advanced search and data management, collaborated with designers via Zeplin, and implemented AI features for personalized recommendations and analytics. They provided ongoing refinement of AI models and regular status reporting throughout the engagement.

Project Outcome

Achieved an average user rating of 4.5 out of 5.
Reached a customer satisfaction score of 85%.
Increased revenue by 20%.
Improved content discovery by 40% via AI-driven recommendations.
Grew overall platform traffic by 50%.
Increased daily active users by 30% and monthly active users by 25%.

Platforms

Web
Cloud

Tech Stack

Vue.js
PHP
Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Empat's work led to increased user ratings on the client's reviews and a 20% increase in revenue. The team showed impressive creativity and innovation. Empat's project management was spot on; they met deadlines and responded quickly to the client's questions and requests through email and meetings.”
Anonymous
Executive
Date: 10/24/2023