Not every customer inquiry needs a human agent. In fact, most support teams find that a large portion of incoming questions are repetitive, predictable, and perfectly suited for automation. Here are ten common customer questions that your Pravia chatbot can handle automatically.
1'What are your business hours?' — Operating hours are one of the most frequently asked questions across every industry. Your chatbot can pull this information from your knowledge base instantly.
2'How do I reset my password?' — Password reset instructions are a classic self-service candidate. Include the steps in your documentation and let the chatbot guide users through the process.
3'What's the status of my order?' — If your system tracks order status via API, the chatbot can check and report the current status using your internal documentation or a connected database.
4'What is your return policy?' — Return and refund policies are typically well-documented and rarely change. Perfect for automation with source citation.
5'Do you offer discounts for students / nonprofits?' — Pricing and discount policies are straightforward to document and automate. The chatbot can check eligibility criteria and provide relevant details.
6'How do I cancel my subscription?' — Cancellation procedures should be clearly documented. The chatbot can walk users through the steps, reducing churn support tickets.
7'What sizes / colors / options do you have?' — Product specifications are ideal for a chatbot trained on your product catalog or specification sheets.
8'How long does shipping take?' — Shipping policies, delivery windows, and tracking information can all be handled automatically.
9'Which plan should I choose?' — Feature comparisons and pricing plans are well-suited for AI. The chatbot can ask qualifying questions and recommend the right option.
10'How do I contact support?' — Even when escalation is needed, the chatbot can qualify the issue, capture relevant details, and route the ticket to the right team.
Key Takeaway
Automating these ten question types can significantly reduce your support volume. The key is having well-structured documentation — Pravia's RAG pipeline ensures that every answer is accurate, sourced, and up to date.