Upsell & Cross-sell
Second sale inside the support conversation
Every "where is my order?" is a customer already talking to you — the agent earns the second sale before the chat closes.
What it does
Your support queue is full of customers at the exact moment they are thinking about your products: checking stock, tracking a delivery, asking how something works. Most teams resolve the ticket and close the chat, and the moment is gone. This agent treats service traffic as a sales channel. Once the original question is genuinely resolved, it surfaces the right add-on, tier, or bundle for that customer, drawn from what they asked, what they own, and what memory holds about them. Where this pattern runs in production, support conversations convert at up to 2.5x the rate of ordinary sessions, and order values rise around 20%.
How it works
- 1Trigger. a support contact arrives on chat, email, voice, or WhatsApp: a stock check, a WISMO query, a product enquiry.
- 2Decision. the agent resolves the service question first, then weighs whether a second sale fits — purchase history, the need revealed in the conversation, and frequency caps all factor in. A quality judge gates the offer; if the customer is frustrated or the fit is weak, no offer is made.
- 3Action. the offer lands inside the same conversation as a natural next turn: the in-stock alternative plus its companion product, the larger size on the item they reorder monthly, the bundle that covers the need they just described.
- 4Follow-through. accepted offers go to the customer's cart or a secure payment hand-off on the client's hosted checkout; the outcome is written back to memory so the next conversation knows what was offered, taken, or declined.
Configuration
How the agent is wired for this use case.
- Messaging channel · resolves the service question, then surfaces the add-on, tier, or bundle as a natural next turn
- OMS · reads order and purchase history; adds the accepted item to the customer's cart
- Product catalog · checks stock and pricing for the alternative, larger size, or bundle
- Payment provider · hands off to the client's hosted checkout via a secure link
- Memory store · logs what was offered, taken, or declined for the next conversation
What you need
The inputs this use case runs on. Your channels stay yours; the agent supplies the judgment.
Signals
new support conversation, intent classification (WISMO, stock check, product enquiry), resolution-complete event
Data
order and purchase history, catalog with stock and pricing, customer memory of past offers and preferences
Guardrails
offer only after the service issue is resolved; judge gating on every offer; sentiment check suppresses offers to frustrated customers; frequency caps per customer; outcomes logged to memory
Metrics it moves
- aovup, as resolved conversations end with a fitting add-on instead of just a goodbye
- revenue-per-conversationup; the support channel starts carrying attributable sales
- attach-rateup on bundles and companion products surfaced in context
- conversion-rateup versus non-conversational sessions, because the customer is already engaged
Related use cases
See it on your own customer journey
Bring one drop-off, one churn cliff, or one silent segment. We will show you what a proactive agent with memory and judgment does with it.
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