In-app chat Quote Request Agent for Home Goods Stores

Home goods stores often deal with product fit, shipping expectations, material comparisons, and damage claims. A In-app chat quote requests agent gives the store owner, merchandising lead, or support manager a way to answer or route that work consistently, especially when custom requests arrive incomplete and slow down sales operations.

• Use dimensions, materials, delivery rules, variants, and room-use guidance instead of isolated chatbot knowledge.
• Fit the answer to authenticated in-app chat with account-aware memory and tools.
• Escalate with pricing approval, missing-field checks, and scope-change audit notes.

The first version should focus on a narrow loop: gather scope, validate required inputs, draft a quote packet, and route for approval. That is enough to prove value without asking the team to trust an agent with every edge case on day one.

• Classify the request before selecting tools or workflows
• Answer from approved sources when confidence is high
• Create a follow-up task or handoff when the request needs judgment

Zeiko is strongest when the agent must connect a customer or operator conversation to real execution. The same workspace can manage memory, tools, workflow bindings, approvals, and channel delivery, so the In-app chat agent is part of the operating system instead of a disconnected widget.