In this guide
Shipping times, return windows, payment options and service availability often come up before a visitor buys. A chatbot can help answer those questions from your published content, while your team handles enquiries that need judgement.
This article is a practical playbook, not a verified customer case study. No specific reduction in tickets is promised.
Start with repeated questions
Review the questions your team receives and group them by topic. Write a short, clear answer for each in a public FAQ or policy page. Include exceptions: where you do not deliver, which products cannot be returned, or when a person must confirm availability.
For a WooCommerce store, start with product descriptions, shipping, returns, payment options and contact hours. For a service business, add service areas and the information required for a quote.
Prepare sources and test the answers
Install the plugin using the setup guide, connect your own AI provider key and sync the selected public pages. Provider usage is billed separately from the plugin subscription.
Ask your top questions in the language customers use. Check the answer against the page it should come from. Test a question absent from your content; it should lead to an appropriate handoff rather than a confident invented policy.
When an answer is weak, improve its source page and re-sync. Keep private customer or order information out of public knowledge sources.
Make human help easy to find
Configure contact or WhatsApp handoff for questions the assistant cannot resolve. Publish your real response hours. Do not claim instant human support when nobody is available.
For after-hours enquiries, configure the minimum contact fields needed for follow-up and test that a submission reaches the selected lead destination. Ask for consent clearly and review the storage settings in the privacy documentation.
Example source-page wording to adapt to your actual policies:
- Shipping: “Delivery times depend on the destination. See the shipping policy for available areas and estimates.”
- Returns: “Eligibility and exclusions are listed in our return policy. Contact us if your item is not covered by the examples.”
- Human help: “Our team replies during the hours shown on the contact page. Leave an enquiry and we will follow up.”
Measure your own results
Record human support questions and visitor volume before launch. Compare similar periods after launch, separating bot conversations, human escalations and delivered enquiries.
Support questions per 100 visitors = human support questions ÷ visitors × 100.
Also check answer quality and customer satisfaction. A lower ticket count is not useful if frustrated customers have stopped asking for help.
Review unanswered questions weekly. Use them to improve the FAQ and repeat the relevant tests. When you have a measured result and customer permission, write a case study with the dates, baseline, traffic counts, definition of a ticket and other changes made during the period.
For sales enquiries rather than support workload, read the WordPress chatbot lead generation guide. For store-specific preparation, see the WooCommerce guide.
Written by Manvendra Singh. Manvendra is the founder of WPChatbot. He writes practical guides about WordPress chatbots, content preparation, lead capture and support workflows.