Customer service
chatbot
A customer service chatbot takes the questions that arrive after the sale: where is my order, how do I return this, can I move my appointment, are you open on Labor Day. It answers from your real order and booking data at any hour and hands anything delicate to a person, with the full conversation attached.
Free: a 30-minute call, an action plan and a price range in writing.
Support questions
a bot handles well
Look at last month's messages. Most of them are probably on this list.
The bot looks up the order by number or email and shares status and tracking.
Your policy explained in plain words, with the return form or label link.
Thanksgiving, Christmas Eve, the Fourth of July: holiday hours answered without anyone checking the calendar.
Reschedule or cancel within your rules, with the slot released for someone else.
Sizes, materials, care instructions, compatibility, what is included.
Damaged items, complaints and anything unusual go to a person, with the order and chat attached.
Launching a support bot
in 4 steps
I deliver chatbots with a trusted partner; the contract, deadlines and communication stay with me.
Customer service
chatbot pricing
Final prices in US dollars. AI usage or messaging platform fees, if any, are billed to your account.
One support bot on your main channel, connected to your order or booking data.
- Question analysis
- Approved answers and rules
- Store or booking connection
- Escalation to your team
- Weekly tuning after launch
Not sure what share of support a bot could take? An hour with your message history will tell.
- Message review
- Realistic estimate
Why a customer service chatbot pays off
A customer service chatbot earns its keep by taking repetitive after-sales questions off your team. In most online stores and service businesses, a handful of topics make up the bulk of support messages: order status, returns, delivery times, opening hours, booking changes. Each answer takes a minute, but together they eat hours a week and arrive at all hours, including the weekend after Black Friday when everyone is busiest.
When the bot answers those in seconds from real data, customers are happier and your staff can spend their time on the conversations that actually need judgment: complaints, unusual orders, loyal customers with a special request.
Different from a sales bot
A sales chatbot talks to people who have not bought yet and tries to qualify them. A support bot talks to people who already paid and expects them to be impatient, sometimes annoyed. That changes the tone and the design. Support answers are short and factual. The bot does not upsell to someone asking where their package is. And the path to a human is shorter, because a frustrated customer who cannot reach a person becomes a one-star review.
Connected to real data
A support bot that only recites your FAQ page is barely better than the FAQ page. The real value comes from connections. Linked to your store, it can look up an order and give the exact status and tracking link. Linked to your booking system, it can move an appointment within your rules. Linked to your help desk or CRM, it passes escalated cases with full context.
For stores I built, such as e-commerce websites on a custom CMS, these connections are direct. For other platforms, I use their official integrations where available.
Escalation done properly
The moment the bot hands off matters as much as everything before it. A good escalation tells the customer what happens next and when ("A person from the team will reply by email within four business hours"), creates a ticket or task with the order and chat attached, and notifies the right person. Customers should never have to explain their problem twice.
I set escalation triggers together with you: certain words like "refund" or "damaged", a second "that did not help", any request to talk to a person, and anything involving money beyond your rules.
Keeping answers current
Policies change. Holiday hours, shipping cutoffs before Christmas, a new return window, a discontinued product. The bot's answers live in one place you can edit, and I show you how. During the first weeks after launch I review conversations weekly and fix weak answers. After that, a monthly check is usually enough, and post-purchase email automation can answer some questions before customers even ask them.
US specifics
A few things to get right for American customers. Return and refund policies must match what the bot says, because the FTC and state consumer protection laws treat chat answers like any other statement to customers. Shipping promises should follow the FTC's mail order rule on shipping times and delays. If you sell to people with disabilities, the chat widget must work with keyboards and screen readers, since website accessibility claims under the ADA are common. And the bot should identify itself as automated. None of this is legal advice; check with your attorney if you are unsure.
Delivery and price
A customer service chatbot is $1,900 for one bot on one main channel, connected to your data. I deliver it with a trusted partner; the agreement, deadlines and communication stay with me. Typical delivery is two to four weeks, depending on your store or booking system. For complex question sets, an AI assistant that understands free text may be the better base.
More for
after-sales
Customer service
bot questions
Will a support bot annoy my customers?
A bad one will. A good one answers in seconds what used to take a day, and lets people reach a human whenever they ask. Most customers with a simple question prefer an instant correct answer to waiting for an email. The bot introduces itself honestly and never blocks the way to a person.
Can the bot see order details?
Yes, if your store or system allows it. The bot asks for an order number plus the email or zip code used at checkout, then looks up status and tracking. It shows only what the customer needs and never displays full addresses or payment details in the chat.
What about complaints?
Complaints go to a person, always. The bot acknowledges the problem, collects the order number and photos if relevant, and passes everything to your team so the customer does not have to repeat themselves. Handling a complaint well is one of the best chances to keep a customer, and that job belongs to a human.
Do I still need a help desk tool?
It depends on volume. Small businesses often manage with the bot plus a shared inbox. Larger stores already use a help desk, and the bot connects to it, so escalated chats arrive as tickets. I do not push you into new software if what you have works.
How do I know the bot is working?
You get simple numbers: how many conversations, how many the bot resolved, how many went to a person, and what customers rated the answers where ratings are on. The most useful report is the list of questions the bot could not answer, because that is the to-do list for the next improvement.
Let's hand routine
support to a bot
Export last month's customer messages or describe the top five questions. I'll reply within one business day with an estimate of what a bot could take over.