Device - Macbook Air

Challenge / Problem Statement

The sales outreach industry faced multiple challenges:

  • Generic cold emails resulted in low engagement and high bounce rates.
  • Manual personalization limited scalability in analyzing lead data.
  • Crafting tailored outreach was time-consuming.
  • Real-time prospect data was difficult to integrate into email campaigns.

Objectives

  • Automate personalized email creation at scale.
  • Increase open rates, click-throughs, and response rates.
  • Integrate real-time prospect data from social platforms.
  • Reduce manual effort while maintaining personalization quality.
  • Provide an API-ready solution for integration with CRMs and outreach tools.

Process & Implementation

  • Built pipelines to scrape and collect LinkedIn activity & personal data.
  • Converted data into vector embeddings for semantic understanding.
  • Used FAISS to create a vector store for fast retrieval.
  • Integrated RAG pipeline combining retrieval + generation.
  • Applied Gemini 1.5 + GPT-3 for natural, context-aware email generation.
  • Designed templated sales emails optimized for personalization and clarity.
  • Deployed as a REST API service for seamless CRM integration.

Our Solution

We engineered an AI-powered personalized email generator that:

  • Retrieves recent lead activity from LinkedIn and other sources.
  • Understands context using embeddings + FAISS.
  • Generates tailored outreach emails via Gemini 1.5 & GPT-3.
  • Optimizes tone, personalization, and clarity to boost conversions.
  • Delivers scalable automation through a CRM-ready API.

Tools & Tech Used

  • Backend: Python, FastAPI
  • AI/LLMs: Gemini 1.5, GPT-3
  • Retrieval: FAISS, RAG pipeline
  • Embeddings: Hugging Face / Sentence Transformers
  • Automation: REST APIs for CRM integration

Results & Impact

  • 25% higher response rates compared to generic outreach.
  • Significant boost in open rates and click-throughs.
  • Reduced manual content creation time by 70%+.
  • Delivered highly scalable, API-ready solution.
  • Enabled contextual, human-like personalization at scale.
  • Key Takeaways

Key Takeaways

  • RAG + LLMs deliver context-driven personalization.
  • Automated sales outreach can drastically improve conversion rates.
  • CRM integration ensures seamless adoption and scalability.
  • AI-driven personalization balances scale + quality in client engagement.

Project Duration & Team

  • Duration: 3-4 weeks
  • Team:1 AI Engineer, 1 Backend Developer, 1 Data Analyst
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