Online shopping has become deeply intertwined with AI, often in ways customers do not consciously notice while browsing a store.
Personalised Recommendations
Recommendation engines analyse browsing and purchase history to suggest products a shopper is likely to want, a feature that has become a major driver of sales for large e-commerce platforms.
Dynamic Pricing
Some retailers use AI models to adjust prices in near real time based on demand, competitor pricing, and inventory levels, aiming to maximise sales while remaining competitive.
Inventory Forecasting
AI demand forecasting helps retailers predict which products will sell well in a given season or region, reducing the costly problem of either running out of popular items or being stuck with unsold inventory.
Customer Service
AI chatbots handle a large share of routine shopping questions, from order tracking to sizing guidance, while visual search tools let shoppers find products by uploading a photo instead of typing a description.
These systems together have made online shopping faster and more tailored to individual preferences, though they also raise ongoing questions about data privacy that retailers continue to navigate.