EndorsedendorsedOngoing

AI-powered Mobile MVP for Stildi

Services Covered:

Mobile Application Development • AI and Machine Learning
Project hero — replace with case study imagery
Industry
Industry

E-commerce & Retail

Duration
Durationinfo-circle

13 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 February 2018

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
78/100
Good

Project Capability Score (PCS) estimates how capable Cactus 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

Stildi

map Belarus

Project Summary

CactusSoft developed an AI-powered mobile MVP for a clothing startup, delivering iOS and Android apps with user registration and feedback mechanisms to improve recommendations. The product is still in testing but has received positive feedback on the interface and the vendor provided ongoing support and additional resources when needed.

Key Challenges

  • Develop a mobile application with AI features.
  • Deliver an MVP with an easy-to-use interface.

Project Deliverables

  • iOS mobile application
  • Android mobile application
  • AI-powered recommendation engine
  • User registration system
  • Feedback mechanisms to strengthen the AI model

Project Solution

They developed an AI-powered mobile application for style recommendation on iOS and Android. The vendor implemented user registration to collect inputs, matched those inputs with content created by professional stylists, and built feedback mechanisms to strengthen the AI model. The engagement included ongoing collaboration over more than a year and the vendor added resources as needed.

Project Outcome

  • App testing generated excellent results and users praised the interface.
  • The vendor provided valuable suggestions and shared expertise throughout the engagement.
  • Flexible resourcing allowed the team to implement changes quickly.

Platforms

  • MobileMobile

Tech Stack

  • iOSiOS
  • AndroidAndroid

Client Endorsement

Overall Review Rating

4.75star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The apps are yet to fully launch on the market but have received praise during the testing phase from users, particularly for the interface design. The team brought good ideas and suggestions to the table, ensuring any issues were effectively handled.”

Helen Kiklevich

CEO

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

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