Inspiration

E-commerce is a $7 trillion industry, yet brands struggle with influencer selection, costing billions in missed connections and ineffective campaigns. Studies show that 60% of marketers cite finding the right influencers as a major challenge, resulting in a significant barrier to growth and ROI. Our Influencer Recommendation System, powered by GPT-4o, addresses this billion-dollar problem by using advanced AI to intelligently match brands with influencers, boosting marketing efficiency and impact.

What it does

Our system enables users to find influencers effortlessly by analyzing brand data and suggesting ideal matches based on audience, engagement, and market relevance. With prompt-based influencer matching, personalized recommendations, and comprehensive dashboards summarization, this AI-driven tool helps brands make strategic marketing decisions.

1- Prompt-Based Influencer Matching: Users simply enter prompts such as "I need influencers for my sportswear brand," and the system intelligently generates a list of influencers who align with the brand’s target audience and goals. 2- Document Business Analysis and Suggestions: Using data analytics, the system examines brand objectives, market, and audience demographics to suggest the best influencers, ensuring alignment and maximizing ROI. 3- Interactive Dashboards Summarization: Users receive AI-summarization of dashboards that highlight key metrics from e-commerce and influencer activities, simplifying data for clear, actionable insights.

How we built it

Using agile methodology, Python, streamlit, and multi-modal AI, we crafted a solution that aligns influencer selection with brand goals. Led by Aqib and co-lead Abeera Malik, the system leverages the power of GPT-4 to enhance influencer targeting in e-commerce.

Challenges we ran into

Handling diverse influencer data and ensuring an intuitive user experience were our main challenges. We developed unique strategies to tackle these issues, ensuring a seamless tool that meets the complex needs of e-commerce marketing.

Accomplishments that we're proud of

Creating an AI-driven system that reduces marketing costs by up to 30% and matches brands with high-impact influencers, increasing engagement rates by up to 40%, is a significant achievement. This tool fills a crucial gap, bringing efficiency and intelligence to e-commerce influencer marketing, making campaigns more effective while optimizing resource allocation.

What we learned

This project highlighted the transformative power of AI and gpt-4o in solving real-world marketing challenges, allowing us to craft data-driven solutions that improve brand-influencer alignment.

What's next for NicheGenius: AI-Driven Influencer Insights

We aim to refine the system's capabilities, supporting a larger range of e-commerce brands and increasing collaboration opportunities across the industry.

Built With

  • agile
  • langchain
  • langchain-community
  • langchain-core
  • langchain-openai
  • openai
  • pypdf
  • python
  • streamlit
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