AI & Machine Learning

Predictive analytics model forecasts revenue with 85% accuracy. Reduced 40% inventory with AI optimization.

We Build Web built recommendation system. Cross-sell revenue increased 35%. Customers satisfied with product suggestions.

Accurate NLP sentiment analysis. Good computer vision object detection. Just needs MLOps pipeline.

AI fraud detection prevented 95% fraudulent transactions. Automatic model retraining. Saved 500 million VND/month.

What problems suit AI/ML?

AI/ML at We Build Web suits: prediction (sales forecast), classification (spam detection), recommendation (related products), and computer vision (automated QC).

How much data needed to train model?

Data needed depends on problem: classification needs 1,000+ samples/class, regression needs 5,000+ records. We Build Web supports data collection and labeling.

Is model updated regularly?

We Build Web sets up MLOps pipeline for periodic model retraining with new data, model drift monitoring, and A/B testing model versions.