endorsedCompleted

Android Mobile App and Integrations for E-Shopping Platform

Services Covered:

Mobile Application Development

Industry

E-commerce & Retail

Duration

5 months

Budget

50K - 199K

Start Date

1 April 2016

Team Size

6-10 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

69/100

Good

Project Capability Score (PCS) estimates how capable Ardas 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

Confidential

Toronto, Canada

Project Summary

Ardas developed a native Android mobile app for an e‑commerce/gift-shopping platform, handling the client frontend, backend database and integrations with affiliate services. They implemented APIs, notifications, calendar and contact links, and an algorithm-driven recommendation/reminder system, plus an image-recognition proof-of-concept. The team used Jira and Confluence for documentation and GitHub for code review; the client praised their quality and involvement of principals.

Key Challenges

Small organization needed to outsource resources as required.
Build client frontend, backend database, and entity relationships.
Integrate APIs and links with affiliate companies and external apps.
Handle environment restrictions and user retention requirements.
Manage a large product database (~1 million SKUs at peak).

Project Deliverables

Mobile Android shopping app
Backend database and data model
REST API integrations with affiliates and apps
Image recognition proof-of-concept
Notifications and calendar/contact integration
Algorithm-driven recommendation and reminders

Project Solution

Ardas took full responsibility for implementing the client-facing frontend, the backend database and entity relationships, and for building API integrations and notification functionality. They pared down a large product database (~1M SKUs at peak), tied several apps together via linking, and incorporated an algorithm for recommendations and reminders. The team produced a native Android release (initially planned for iOS as well) and delivered an image-recognition proof-of-concept; project management and documentation used Jira, Confluence and GitHub.

Project Outcome

Launched Android app to app stores with minimal bugs that were fixed quickly.
Delivered an image recognition proof-of-concept enabling camera-based features.
Established documented processes and code review using Jira, Confluence, and GitHub.

Platforms

Mobile

Tech Stack

REST API
Android
iOS

Client Endorsement

Overall Review Rating

4.75

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The suggestions Ardas made ensured a product that resonated with target users, and the app is a success. Their principals were involved with the project, and the team regularly worked after hours to adjust to time zone differences and maintain a high level of communication.”
Anonymous
President
Date: 09/10/2019