Using AI in ecommerce without losing human judgement
How to apply AI to ecommerce catalogues, sales, customer service and automation without delegating business decisions to a model.
How to apply AI to ecommerce catalogues, sales, customer service and automation without delegating business decisions to a model.
An interface that grows without a system accumulates exceptions. Shared components, tokens and rules make it possible to evolve without multiplying inconsistencies.
Interactivity has a cost. The goal is not to eliminate JavaScript, but to load and run only what adds value to the experience.
Every requested detail needs a reason. Friction appears when the system asks for more effort than the customer understands as necessary.
People buy before they can physically inspect a product. The interface should make the information that reduces perceived risk easy to find.
Comparison requires people to keep several product attributes in mind. A good interface makes those differences visible.
A product page brings together information, expectations, objections and decisions. It is more than a technical specification sheet.
Filters should narrow the decision space while keeping a clear record of what people have already chosen.
Images let people inspect, contextualise and anticipate the physical product before it arrives.
A good product page answers, in the right order, the questions that stand between a visitor and a purchase: what it is, what it costs, when it arrives, what is included and what happens if it is not right.