AI-Powered Personal Shopper for E-commerce
An AI-driven chatbot that acts as a personal shopper, guiding users through product discovery and increasing conversion rates.
Project Summary
We integrated an intelligent chatbot into an existing e-commerce platform. Using Natural Language Processing (NLP) and Genkit, the chatbot understands user queries, asks clarifying questions, and provides personalized product recommendations based on style preferences, budget, and past behavior. The 'personal shopper' can also create complete outfits, find matching accessories, and notify users of sales on their favorite items, significantly enhancing the user experience and driving sales.
Project Details
Industry
E-commerce
Key Features & Solutions
Discover the core functionalities that make this project a powerful and effective solution.
Natural Language Understanding (NLU)
The chatbot understands conversational language, making the shopping experience feel natural and intuitive.
Personalized Product Recommendations
Analyzes user preferences and browsing history to suggest products they are likely to love.
Style and Preference Analysis
Asks targeted questions to learn about a user's style, helping to narrow down choices effectively.
Automated Up-selling & Cross-selling
Suggests complementary items and accessories to increase the average order value.
The Technology Stack
This project was built using a modern, scalable, and robust set of technologies to ensure high performance and reliability.
Impacts and Business Outcomes
Explore the tangible results and strategic advantages our client gained from this custom solution.
Increased Conversion Rates
By making product discovery easier and more personalized, the AI shopper helps convert more browsers into buyers.
Higher Customer Engagement
Provides an interactive and helpful shopping experience that keeps users engaged on the site for longer.
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