Enosis Outsourcing logo
EndorsedendorsedOngoing

Custom SaaS Tech Stack Build for Fine Art E-Commerce

Services Covered:

E-commerce Development • Mobile Application Development
Project hero — replace with case study imagery
Industry
Industry

Arts, Entertainment & Recreation

Duration
Duration

29 months

Budget
Budget

Confidential

Start Date
Start Date

1 May 2018

Team Size
Team Size

11-15

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
78/100
Good

Project Capability Score (PCS) estimates how capable Vention 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

CollectorIQ, Inc.

mapNew York City, United States of America

Project Summary

Vention (formerly iTechArt) was engaged by CollectorIQ to build a fine-art SaaS platform comprising web and mobile applications with data aggregation and machine learning to estimate asset value. The vendor complemented the internal team through ideation and feature development and built an iOS app with an Android wrapper to maintain a single code base. The platform serves thousands of users with high reliability and minimal downtime, and stakeholders report strong technical execution and a long-term partnership.

Key Challenges

  • Build an e-commerce SaaS platform for fine art data and analytics
  • Aggregate diverse customer and asset data efficiently
  • Develop machine-learning algorithms to predict asset value quickly
  • Deliver mobile apps with a single code base strategy for iOS and Android

Project Deliverables

  • iOS mobile app
  • Android app wrapper (single code base)
  • Web application / SaaS platform
  • Data aggregation technology
  • Machine learning algorithms to predict asset value

Project Solution

The vendor complemented the client's internal resources across ideation and development, building web and mobile components of a fine-art SaaS platform. They implemented data aggregation technology to collect customer and asset data and developed machine-learning algorithms to predict asset value. The team delivered an iOS app and provided an Android wrapper to maintain a single code base, and supported incremental feature development and scaling.

Project Outcome

  • Thousands of users and no recorded site downtime
  • Scalable, robust architecture enabling incremental development
  • Enabled the client to develop a leading data service for fine art assets
  • Strong project management with work delivered on time and on budget

Platforms

  • MobileMobile
  • WebWeb

Tech Stack

  • iOSiOS
  • AndroidAndroid

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Internal stakeholders are impressed with the application, which has multiple thousands of users and has experienced little to no down time. Throughout the engagement, Vention (formerly iTechArt) has demonstrated high levels of technical and creative proficiency, resulting in an enduring, successful partnership.”

Christopher Vroom

Founder

Note: This endorsement is based on publicly available client feedback from external review sources.

More Projects by Vention

See All Projects by Vention