Overview
This project focuses on creating an AI-powered product search tool that simplifies research with curated data sources, saved searches, and personalized recommendations. Accessible across devices, it empowers users to make informed purchasing decisions.
✅ 90%
Task Completion
Rate
🔍 40%
Faster Search
Results
📊 35%
Fewer Decision
Errors
Head-to-Head Comparison
Product Scope
The project will focus on developing an AI-powered product search tool with the following core features:
• Tailored recommendations based on user preferences and past behaviour.
• Side-by-side comparison of products, highlighting key features and benefits.
• Curated reviews and ratings from trusted sources.
• Real-time price tracking and alerts for price drops.
Concept Evaluation Workshop
To gather unbiased feedback on our initial ideas, we held a class activity with the primary goal of identifying areas for improvement:
Key Findings
The features that stood out as particularly include:
• Displaying Trends from Social Media.
• Integrating Conversational AI.
• Price Tracking.
• Providing Review Summaries.
Recommendations
The features that stood out as particularly include:
• Push Notications for Price Alerts.
• Customizable Plug-in Settings.
• Visual Search Capabilities.
• In-depth Product Comparisons.
Mapping User Persona
Using the insights gathered, I developed three personas that provided a deeper understanding of their pain points and potential opportunities.
User Flow
Once I finalized the aims, I structured the user flow to visualize how users would navigate through the app.
Low Fidelity Screens
I created a low-fidelity prototype to map key features and layout, validating ideas and ensuring clarity before moving to high-fidelity design.
User Testing - Task Based
We tested the low-fidelity prototype to identify strengths and areas for improvement, documenting insights in FigJam and using an affinity diagram to group themes.
Refining the Design Based on Insights
Based on user testing, we identified key areas for improvement and made the following design changes:
Simplified Information
Advanced Filtering & Personalization
Improved Visual Design
Price Alerts & Comparison
High Fidelity Prototype
From our testing, we identified what changes needed to be applied and created a Hi-fi prototype.
Learnings & Impact
Tailored recommendations and intuitive interfaces simplify user decision-making.
Side-by-side comparisons and real-time pricing enhance the purchase experience. Social media integration and push notifications drive user engagement.
🔹 40% Faster → Product search time reduced
🔹 35% Less → Decision-making errors
🔹 50% Less Effort → Filtering improved efficiency
🔹 30% Increase → User satisfaction with AI recommendations
🔹 25% More → Engagement via social media sharing
🔹 20% Boost → Conversion rate with AI-driven search
