Using AI/robots for storage and picking.

By predicting demand accurately.

Predicting future sales using data.

Forecasts demand and optimizes stock levels.

Adjusting prices based on demand, competition, and behavior.

Recommending complementary products.

Suggesting higher-value products automatically.

A/B testing, personalization, behavior tracking.

Improving the percentage of visitors who buy.

Showing ads to users who visited but didn’t buy.