Generic ecommerce chatbots usually start with support automation: delivery, returns, order questions, and simple store FAQs. A product advisor is built around the buying decision itself.
The difference in intent
An ecommerce chatbot answers store questions. A product advisor helps a shopper decide what to buy when the answer depends on product attributes, use case, constraints, or compatibility.
The difference in data
A product advisor needs product feed data, attributes, category rules, and source freshness visibility. Without that structure it can only give broad guidance or route to a person.
The difference in risk
Product guidance needs tighter wording. Safe systems should avoid unsupported answers, say when a product fit cannot be confirmed, and pass context to a human when the buyer needs specialist advice.
Next step
If your shoppers ask comparison, sizing, fitment, or specification questions, start with Product Advisor rather than a generic chat plan.