Why e-commerce AI support needs separate pre-sale and post-sale routing

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An AI support developer argues that e-commerce chat widgets effectively handle two distinct customer types: undecided shoppers and customers who have already paid. Pre-sale inquiries are treated as conversion opportunities, where fast and confident answers can directly influence a purchase decision. Post-sale questions are handled as retention events, where the priority is resolving issues quickly and escalating to a human agent sooner to protect customer loyalty. Rather than relying on page location to determine intent, the system classifies each message using a fixed set of intents, with the page context serving only as a weak secondary signal. The two branches are also given different tool access, with post-sale agents able to query order data while pre-sale agents are deliberately restricted to catalog and policy information only.

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