Enhancing Customer Segmentation with Deep Neural Networks

How did BeautifulCode do it?

Challenges Encountered During Implementation

Data Integration: Integrating multiple data sources like partner, client, and contextual data was complex.

Model Training: Ensuring accurate real-time predictions required extensive ML model training and retraining.

Customer Segmentation: Segmenting and defining thousands of customer types for effective targeting was challenging.

Solution

Developed a real-time customer segmentation platform using Vertex AI and deep neural networks, improving targeting and boosting performance significantly.

Overview of Delivery Methodology

Step 1: Data Collection Gathered and integrated data from various sources.

Step 2: Model Training Trained deep neural networking models to create and score customer segments using Vertex AI.

Step 3: Customer Segmentation Defined and segmented customers using ML predictions.

Step 4: Real-time Optimization Continuously optimized customer segments in real-time.