How does an AI receptionist answer oil type and pricing questions for an oil change service?

An AI receptionist answers oil type and pricing questions by pulling from a knowledge base you set up in advance, then delivering those answers conversationally when a customer calls. You give the system your service menu — conventional, synthetic blend, full synthetic, high-mileage options — along with current pricing for each tier, and the AI uses that information to respond accurately without putting the caller on hold or transferring them unnecessarily.

In practice, when a customer asks "how much does a full synthetic oil change cost?" the AI looks up your configured pricing and answers directly, something like "Full synthetic oil changes are $79.99 and include up to five quarts of oil and a new filter." If a customer asks which oil type their vehicle needs, the AI can either walk them through general guidance based on vehicle age and manufacturer recommendations, or let them know the technician will confirm the right spec when they arrive. The more detail you build into the knowledge base, the more confident and accurate those answers become.

The limitation worth knowing upfront is that the AI works from static information you provide. If your pricing changes or you run a promotion, you need to update the system or customers will get outdated answers. It also can't pull live inventory to confirm whether you have a specific oil brand in stock. For anything outside its configured knowledge, a well-designed AI receptionist will acknowledge the gap and offer to take a message or connect the caller to your team rather than guessing — which protects your credibility.

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