AI Integrations & Product Intelligence
Integrated GPT-4 + RAG pipeline into a B2B SaaS product, adding intelligent search, auto-tagging, and predictive churn analytics — increasing retention by 34%.
Retention Rate
Monthly Queries
Query Accuracy
The Challenge
The client needed to enhance user engagement and prevent customer churn in their B2B data analytics platform. Users spent too much time manually writing complex database queries, resulting in high frustration rates and account cancellations.
Our Solution
We integrated a state-of-the-art GPT-4 Natural Language Processing interface combined with a Retrieval-Augmented Generation (RAG) pipeline. This allowed users to query their dashboards in plain English. We also implemented predictive analytics models to flag users with declining activity and automate targeted retention sequences.
Interactive System Architecture
RAG Setup
Constructed vector databases using pgvector and OpenAI embedding models for contextual data lookup.
UI Integration
Created an intuitive conversational sidebar inside the dashboard with real-time streaming tokens.
Churn Predictor
Developed machine learning pipelines to detect usage patterns linked to client attrition.
Project Gallery & Mockups
The Business Impact
Customer retention spiked by 34% within the first quarter of release. The natural language interface now handles over 2 million queries monthly with 92% accuracy, significantly reducing support tickets.
Project Details
B2B SaaS · $12M ARR
4 Months
AI Engineers & Core Integration team