endorsedOngoingAI-powered Mobile MVP for Stildi
Services Covered:
Industry
E-commerce & Retail
Duration
102 months
Budget
50K - 199K
Start Date
1 February 2018
Team Size
1-5 Employees
Engagement Model
Offshore
Project Capability Score (PCS)
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
BelarusProject 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
Mobile
Tech Stack
iOS
Android
Client Endorsement
Overall Review Rating
4.75
5 out of 5 stars
5 out of 5 starsTimeliness
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.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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