15K+ App Downloads & 48% Boost in AI Suggestion Clicks for an E-commerce Startup

AI-Enabled Mobile Experience That Scaled Quickly from MVP to Market Buzz

 

Client
VC-backed e-commerce tech startup with an AI-driven shopping assistant app.

 

Challenges
  • No mobile app presence or brand recognition
  • AI recommendation engine integration required for MVP
  • Inaccurate data affecting personalization outcomes
  • No launch materials like demo video or optimized product copy

 

Solution Provided

  • Built MVP app with AI integration using Python and React Native
  • Designed user-centric UI/UX for smoother AI-driven personalization
  • Integrated e-commerce APIs and set up real-time data pipelines
  • Created ASO-optimized product descriptions and a high-performing demo video
  • Led content creation and executed a targeted launch campaign across niche tech and social platforms

 

Results
  • Achieved 15K+ downloads in the first month post-launch
  • Boosted AI suggestion click-through rate by 48%
  • Demo video crossed 20K+ views in just 10 days
  • Improved personalization data accuracy by 50%
  • App featured in two top startup newsletters and gained visibility among VCs

 

From a vision to a viral launch, this collaboration brought together AI innovation, sleek design, and targeted promotion—resulting in real traction and investor confidence.

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