Projects Details

Project Name: Gen AI Marketing Automation Bot

Objective: Develop a marketing automation bot using advanced AI techniques to personalize customer experiences, predict trends, and optimize marketing campaigns. The bot aims to enhance marketing efficiency through automated content generation, customer segmentation, and targeted engagement.
Design:
Customer Segmentation & Personalization: Implemented machine learning algorithms (K-Means Clustering and Random Forest) to segment customers based on behavior, demographics, and purchase history, enabling highly personalized marketing strategies.
Content Generation: Utilized transformer-based models (like GPT-3) for generating tailored marketing copy, social media posts, and email campaigns, adapting the tone and style to fit different customer segments and communication channels.
Predictive Analytics: Integrated time series forecasting using LSTM (Long Short-Term Memory) networks to predict customer purchase patterns, optimize ad spend, and improve ROI by targeting high-potential customers at the right time.
Engagement Optimization: Implemented reinforcement learning techniques to optimize the timing and frequency of customer interactions, ensuring maximum engagement without overwhelming the audience.
Tools: Python, TensorFlow/Keras, PyTorch, Scikit-learn, Pandas, Numpy, OpenAI API.