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AI Chatbot for Online Stores
AI chatbot for online stores that answers from your policies and order data and hands over when unsure
AI chatbot for online stores works well when every answer comes from a source you control, your returns policy, your shipping rules, your product data and the live status of the customer’s order, and when the bot knows how to say it is not sure and hand the conversation to a person with the facts attached, so this page explains how our chatbots are built, tested and measured, and what they cost.
- Fixed price from $890 for a first job
- Built inside your own tools
- Written replies within one working day
- What this coversAn AI chatbot for online stores answers from your own policies and order data and hands over to a person when it is unsure.
- Who it is forStore owners who want an AI chatbot that answers accurately.
- What we read firstYour an AI chatbot setup, the data involved, its limits and how it connects to your store.
- Jobs we buildWorkflows around the topic: drafts, checks, uploads, messages and reports, under written rules when considering an AI chatbot.
- OutputsA written plan, tested workflows, monitoring, a handover guide and a month of corrections after launch around an AI chatbot.
- Where you startChoose the job you need below and price it with the calculator, or ask for a quote that covers several on an AI chatbot.
The costly disconnect
What to know about an AI chatbot
These six points set out what matters most, in the order owners usually ask about them for an AI chatbot.
Answers from sources
The bot answers only from your policies, your product data and the customer’s order, and when no source supports an answer it says so and hands over. Many owners only notice this problem when a customer complains, so catching it earlier is one of the quiet benefits of chatbot for online stores.
Order lookups
With narrow, read-only access the bot can tell a customer where an order is and when it should arrive, which settles the most common question in support. Left alone, this problem repeats with every order, which is why chatbot for online stores is built to handle it by rule and not by memory.
Handover to a person
When a customer is upset, asks for a refund or raises something unusual, the bot hands over with the order, the history and a suggested reply. It is easy to overlook until a busy week exposes it, and by then the cost to online stores is already counted in refunds, hours or lost sales in the chatbot work.
Tone and language
The bot follows a written style guide and can answer in more than one language when you need it, checked by a native reader. The fix is not more effort but a better rule, and that is exactly what the chatbot build for online stores puts in place.
Testing before launch
We ask the bot real questions in a test widget, compare every answer with its source and fix gaps before any customer sees it. Many owners only notice this problem when a customer complains, so catching it earlier is one of the quiet benefits of chatbot for online stores.
Measuring the bot
We report the share of chats resolved, the handover rate and the questions the bot could not answer, so you can improve your policies and your answers. Left alone, this problem repeats with every order, which is why chatbot for online stores is built to handle it by rule and not by memory.
- 6core jobs can be built around this topic, from drafts to reports on an AI chatbot.
- 1written plan is delivered before any workflow is switched on.
- 30 daysof written corrections follow launch.
Limits and prices mentioned here are confirmed against your accounts at project start around an AI chatbot.
What changes in your support once a grounded AI chatbot is live for an AI chatbot
Customers get instant, cited answers, and your team sees only the conversations that need a person when considering an AI chatbot.
Your chatbot today
- The chatbot answers from general knowledge.
- Order questions always become tickets.
- Nobody reviews what the bot told customers.
- Handoff loses the conversation.
- Costs rise with every resolved chat.
Your chatbot after the build
- Every answer comes from your policies, help articles and catalogue, with the source shown when considering an AI chatbot.
- Order questions are answered from the live order and tracking.
- Each conversation is logged and wrong answers are flagged for review around an AI chatbot.
- Handoff arrives with the full chat and a summary.
- Your cost is a fixed build fee plus the model usage, which we estimate in writing around an AI chatbot.
What your tickets show
- Fewer wrong promises.
- Fewer tickets about orders.
- A record of what the bot said.
- Customers do not repeat themselves.
- A predictable monthly cost.
What the bot answers alone
- Answering policy, shipping and product questions with a cited source.
- Looking up order status and tracking for verified customers.
- Capturing the email and reason before handing over.
- Logging every conversation and flagging low-confidence answers.
- Summarising the chat when a person takes over.
What a person decides
- Refunds and goodwill above the limit you set.
- Upset or high-value customers.
- Changes to the policies the bot quotes.
- Damage, safety or legal complaints of any kind.
- Any answer the bot marks as uncertain.
Who gains most from an AI chatbot
Any store with more jobs than hours gains, and these three situations show it most clearly for an AI chatbot.
Stores with repeated questions
Stores gain hours back each week, and we look at this situation in the audit and give online stores an honest view of whether the build is worth doing now or later in the chatbot work. We look at this situation in the audit and give online stores an honest view of whether the build is worth doing now or later in the chatbot work.
Stores open across time zones
Stores gain night coverage, and if this describes your business, the chatbot work for online stores is likely to pay back quickly, and we will tell you plainly if it will not. If this describes your business, the chatbot work for online stores is likely to pay back quickly, and we will tell you plainly if it will not.
Stores with multilingual customers
Stores gain consistent answers in several languages. Owners in this position often say the biggest change is the time returned each week, and chatbot is built to deliver that first for online stores.
The conversation events that decide how the chatbot answers for an AI chatbot
The chatbot treats every message as an event with a clear next step rather than a free-form chat for an AI chatbot.
question_receivedCustomer asks a question
The message is classified as policy, product, order or other before any answer is chosen around an AI chatbot. The event is logged with the rule that handled it, which lets you check later exactly what chatbot did for online stores and why it did it.
source_matchedA source is found
The bot retrieves the matching policy or article and answers using its wording, with a link on an AI chatbot. Because this trigger is handled separately from the others, a problem with it never delays the rest of the chatbot work for online stores.
order_lookupOrder identity confirmed
After the customer confirms their email or order number, the bot reads the live order and tracking on an AI chatbot. You decide how much of this runs without approval, and for online stores we usually begin with a review step until the first results look right in the chatbot work.
low_confidenceNo good source exists
When nothing in the sources supports an answer, the bot says so and offers a person instead of improvising on an AI chatbot. Anything this trigger cannot decide safely is passed to you with the record attached, so chatbot for online stores never acts on a doubtful reading.
sentiment_flagCustomer sounds upset
Frustration, legal words or repeated contact route the chat to a person at once for an AI chatbot. We test this moment on your own records before launch, so the chatbot build for online stores has met it before it meets a real customer.
chat_closedConversation ends
The outcome and category are logged, and a short rating request can follow a resolved chat on an AI chatbot. The timing of this step is written down in the rule table, which means you can change when it happens without asking us to rebuild anything in the chatbot build for online stores.
One support chat followed from the question to a cited answer and a clean handoff for an AI chatbot
This shows how the bot stays within what it can support and how a difficult case reaches a person intact for an AI chatbot.
- 01
The question arrives
A visitor asks whether a personalised item can be returned, and the bot classifies it as a policy question about made-to-order goods for an AI chatbot. A check at the end of the step compares the result with the input, which catches the small mistakes that otherwise surface days later in the chatbot build for online stores.
- 02
The source is found
It retrieves the personalised items section of your returns policy, which says such items are final sale unless faulty around an AI chatbot. Because the steps are separate, a change to one of them, such as a new rule for online stores, does not disturb the others in the chatbot flow.
- 03
The answer is cited
The reply states the rule in your wording, links the policy and offers help if the item arrived damaged, without inventing any exception when considering an AI chatbot. The same step is repeated for every item in the batch, so the tenth record receives the same care as the first when chatbot runs for online stores.
- 04
The customer says it is faulty
The bot asks for the order number, confirms ownership by email and reads the order to check the delivery date when considering an AI chatbot. Anything unusual at this point is flagged in plain words, which saves you from reading logs to understand what the chatbot work found for online stores.
- 05
A limit applies
A faulty item may qualify for a replacement, which is outside the bot’s authority, so it writes a summary and passes the case to a person on an AI chatbot. At the end of this stage you can pause, adjust a rule or carry on, so chatbot for online stores always moves at the pace that suits you.
- 06
The log is updated
The conversation is categorised as faulty personalised item, and the pattern appears in the weekly report if it repeats for an AI chatbot. Every step like this is recorded, so the chatbot work for online stores can be traced from the first input to the final result without any gaps.
Pricing
Price your AI customer support chatbot
Choose a plan, tell us about your help desk and languages, and add any extras, and the total and live date update as you go.
What an AI customer support chatbot costs and what raises the price for an AI chatbot
Our fee is fixed and paid once, while the language model usage, your help desk and any tracking service are billed by their own providers on an AI chatbot.
Volume and size of the sources
A large catalogue or many policies take longer to index and test for an AI chatbot. We check this factor against your real records during the audit, so the number in the quote comes from your data and not from a guess in the chatbot build for online stores.
Actions the bot can take
Starting returns, issuing labels and applying capped refunds add rules and tests beyond answering when considering an AI chatbot. This is one of the factors we price in writing before work starts, so the chatbot quote for online stores reflects your real situation and not an average.
Languages
Each language multiplies the wording checks and the test questions. If this factor is small for you, it adds little to the price, and the written quote shows exactly how much it did add for online stores in the chatbot work.
Help desk complexity
Several queues, tags and approval rules add configuration. You can lower the cost by tidying this part first, and we say so plainly in the plan when the chatbot work for online stores would benefit.
Review and training needs
A larger team that reviews answers needs a fuller review queue and handbook around an AI chatbot. Anything extra that this factor creates later is quoted before it is built, so the fixed price for chatbot never grows by surprise for online stores.
Reporting depth
Topic maps and cost-per-ticket dashboards take extra build time. We explain this factor in the quote in plain words, because online stores should understand what drives the price before agreeing to anything in the chatbot work.
Language model usage, help desk plans and tracking services are billed by their providers on an AI chatbot.
Next step
Ready to price AI Chatbot for Online Stores?
An AI chatbot for online stores answers from your own policies and order data and hands over to a person when it is unsure.
- One fixed price from $1,790, paid once
- Every answer cites your own policy
- A month of corrections after launch
Three more jobs the same chatbot can take on for an AI chatbot
Once the sources and the handoff exist, the chatbot can do more than answer questions for an AI chatbot.
Product advice from the catalogue
Shoppers ask which size, material or option suits them and receive answers drawn from product pages and size charts around an AI chatbot. Results from this job appear in the same weekly report as the main chatbot work, giving online stores one place to judge whether it earns its keep.
Lead capture for custom orders
Visitors asking for quotes leave their requirements and email, and your team receives a structured request for an AI chatbot. We include this idea because owners who run chatbot for online stores often ask for it within a few months, and it is cheaper to plan for it early.
A map of what customers ask
Weekly reports group questions by topic so unclear pages and policy gaps become visible around an AI chatbot. The job follows the same approval rules as everything else, so nothing reaches a customer of online stores without passing the checks you already trust in the chatbot work.
Which data the chatbot reads and where each fact comes from for an AI chatbot
The bot is only as accurate as the sources behind it, so we list every source and who owns it on an AI chatbot.
| Store object | Fields we use | Direction | Source of truth |
|---|---|---|---|
| Policies | Returns, shipping, warranty, privacy text | Read and indexed | Your published policy pages |
| Help articles | Guides, size charts, care instructions | Read and indexed | Your help centre |
| Products | Titles, options, materials, stock status | Read before answering | Store catalogue |
| Orders | Status, items, fulfilment, tracking | Read for verified customers | Store orders |
| Conversations | Messages, category, outcome, rating | Written by the bot | Chat and help desk logs |
| Flags | Low-confidence answers and corrections | Written for review | Review queue |
Sources are re-indexed on a schedule and whenever you change a policy page, so the bot follows your latest wording on an AI chatbot.
Edge cases we test before launch for an AI chatbot
A chatbot is judged by its worst answers, so we test the awkward questions deliberately and keep the results on an AI chatbot.
Angry customers
Upset customers are handed over quickly, and your answer to this case is added to the rule table, so the same situation is handled automatically the next time it appears for online stores in the chatbot work. Your answer to this case is added to the rule table, so the same situation is handled automatically the next time it appears for online stores in the chatbot work.
Policy changes
The bot reads the current policy page. The weekly report counts how often this case occurs, which tells online stores whether it deserves a better rule or is simply rare in the chatbot work.
Questions outside scope
Out-of-scope questions are declined politely, and nothing about this case is hidden from you: it appears in the log with the date, the record and the rule that dealt with it in the chatbot build for online stores. Nothing about this case is hidden from you: it appears in the log with the date, the record and the rule that dealt with it in the chatbot build for online stores.
Free chatbots, help desk AI add-ons and a built chatbot compared for an AI chatbot
A free AI customer service chatbot is fine for testing, a help desk add-on is convenient for large teams, and a built chatbot suits stores that want control over answers and cost around an AI chatbot.
| Free chatbot | Help desk add-on | Checkout Loom build | |
|---|---|---|---|
| Answers cite your own policies | Partly | ✓ | ✓ |
| Reads live order data | – | ✓ | ✓ |
| Reviews wrong answers | – | Partly | ✓ |
| Fixed cost regardless of volume | ✓ | – | Partly |
| Your rules on refunds and promises | – | Partly | ✓ |
| Cost pattern | Free up to a cap | Per resolution | Our build fee plus usage costs |
Usage costs for the language model are small at typical store volumes, and we estimate them in writing before you commit around an AI chatbot.
How the support chatbot is built and what each part costs for an AI chatbot
We choose the parts that fit your store and write down what each one will cost every month next to our fixed build fee on an AI chatbot.
A language model with retrieval
A current model reads only the passages retrieved from your policies and articles, with instructions that forbid inventing terms around an AI chatbot. Its limits and prices are checked again at the start of each project, because tools change their plans, and online stores should not pay for last year’s terms in the chatbot work.
Your help desk
Gorgias, Zendesk, Help Scout or Freshdesk receive handoffs, tags and summaries, so your team keeps one queue when considering an AI chatbot. Everything this layer does for chatbot is logged, so you can see what ran, when it ran and what it cost on any given week for online stores.
Order and tracking connections
Read access to orders on Shopify, WooCommerce or BigCommerce, and carrier tracking through a tracking service around an AI chatbot. We test the layer on your own data before launch, so chatbot for online stores is proven on real records and not on tidy examples.
A chat widget
A lightweight widget matched to your brand, loaded after the page so it does not slow checkout around an AI chatbot. If the layer fails or changes its terms, the handover guide explains how to swap it, so online stores is never stranded by one supplier in the chatbot work.
A review queue
A simple view of low-confidence answers where you correct the sources and improve the next reply when considering an AI chatbot. Its role is written in plain language in the handover guide, which means a new team member at online stores can understand it in a few minutes in the chatbot work.
Make, Zapier or n8n
Glue for connections that lack a native integration, with retries and alerts on every step for an AI chatbot. The monthly price of this layer is written next to our fixed fee before you commit, so the true cost of running chatbot for online stores is clear from day one.
How we keep the chatbot accurate and available for an AI chatbot
Accuracy depends on sources and testing more than on the model, so that is where the reliability work goes for an AI chatbot.
Cited answers only
A reply must rest on a retrieved source, and otherwise it becomes a handoff for an AI chatbot. We compare the results of chatbot with your own records on a regular basis, so a small drift for online stores is repaired before it becomes a large one.
A test set of real questions
Every release is run against your own past questions, and the replies are compared with what your team sent on an AI chatbot. If a check fails, nothing is sent or changed for that record, and it waits in a short list for you, because a delay costs less than a wrong action in the chatbot build for online stores.
Re-indexing on change
Sources refresh on a schedule and whenever you publish a policy change around an AI chatbot. The safeguard is tested during the trial batch by feeding it deliberately awkward records, so online stores sees how it behaves before real customers are involved in the chatbot work.
Alerts for failures
Index failures, lookup errors and model outages raise alerts that name the part that failed for an AI chatbot. Everything the safeguard decides is written to the log with the reason, giving online stores a trail that is useful when someone asks what happened and why in the chatbot work.
Response time tracking
First reply and resolution times are tracked so slowdowns show early for an AI chatbot. During the month of corrections after launch, any gap in this safeguard is fixed in writing and the fix is added to the handover guide in the chatbot build for online stores.
Written answers from the owner
Anything that goes wrong in the first month is answered by the owner in writing with the cause and the fix around an AI chatbot. Reports on how often the safeguard fires show online stores whether the chatbot work is getting steadier or whether a rule needs attention.
Privacy, permissions and data handling for a support chatbot for an AI chatbot
A chatbot sees customer messages and order details, so we limit access and say clearly where the data goes when considering an AI chatbot.
Least-privilege access
The bot reads orders and writes only the notes and tickets you approve when considering an AI chatbot. The arrangement is reviewed at the end of the month of corrections, and any access that is no longer needed is removed in writing in the chatbot build for online stores.
Verified before order details
Order information is shared only after the customer confirms the email or order number when considering an AI chatbot. Customer details are never used to train outside models, and drafts for online stores are built only from the facts and records you supply in the chatbot work.
Keys held by you
Every API key is created in your own accounts, so you can cut our access off with one click on an AI chatbot. We explain in plain words what each permission allows, so the person approving it for online stores knows exactly what they are agreeing to in the chatbot work.
Minimal data to the model
Only the question, the retrieved passages and the needed order facts go to the model, never payment details for an AI chatbot. At the end of the engagement you receive a list of every connection that was made, so nothing stays open by accident in the chatbot build for online stores.
Retention you control
Chat logs are kept for a period you choose and deleted on request when considering an AI chatbot. For chatbot on online stores, access is limited to what the job needs and can be withdrawn in a minute, so ending the work leaves nothing behind.
Access removed at handover
You get a list of everything we changed, and our logins are closed on the day we finish around an AI chatbot. Nothing in this arrangement requires you to share a password, because access is granted from your own account in a form you can revoke in the chatbot build for online stores.
What you receive with your AI customer support chatbot for an AI chatbot
Each plan ends with a working chatbot, a tested set of answers and the notes to keep it accurate on an AI chatbot.
- A chatbot on your site that answers from your policies, articles and catalogue for an AI chatbot.
- Live order and tracking lookup for verified customers.
- Refund and promise limits written into the bot’s rules.
- Handoff to your help desk with the conversation and a summary when considering an AI chatbot.
- A question set drawn from your own past chats, with every result recorded on an AI chatbot.
- A review queue for low-confidence and corrected answers.
- A weekly report of the topics customers ask about.
- A written estimate of monthly usage costs for your volume.
- A month of repairs once the bot is live.
Verified client reviews and the evidence behind a grounded chatbot for an AI chatbot
These are the unedited words of verified clients of the Checkout Loom team, followed by the facts that shape how we build support chatbots on an AI chatbot.
- $0.90per automated interaction is the published Gorgias price on annual billing, one reason we compare fixed builds with per-resolution fees for an AI chatbot.
- 2024is when a tribunal held a business responsible for its chatbot’s statements, so every answer we build cites a source around an AI chatbot.
- 30 daysof fixes follow launch so the bot is stable before we step back around an AI chatbot.
Pricing is taken from vendor pages and confirmed again at build time; the legal case is Moffatt v Air Canada, 2024 BCCRT 149 when considering an AI chatbot.
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I am a returning customer because my first AI automation workflow worked so well. Once again everything was built exactly as requested, and the whole process was reliable from start to finish.
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How the chatbot build runs from sources to a launched, monitored bot for an AI chatbot
We build from your own words, because a bot trained on them gives answers your team recognises on an AI chatbot.
- 01
Collect the sources
We gather your policies, help articles and a batch of past tickets and list gaps where customers ask what you have never written down on an AI chatbot. A short summary of the step is added to the handover guide, so the way chatbot was built for online stores is never lost.
- 02
Write the rules
We write what the bot may say, may do and must never promise, and agree the rules with you in writing when considering an AI chatbot. You see the result of this step in writing before the next one begins, which keeps the chatbot build for online stores on schedule and under your control.
- 03
Connect orders and handoff
We connect order lookup and your help desk with the narrowest access that works on an AI chatbot. If this step shows a problem, we say so at once and propose the fix, and the date for chatbot is moved in writing rather than quietly for online stores.
- 04
Test against real questions
We run your past questions through the bot, compare its replies with your team’s and fix the differences around an AI chatbot. Nothing in this step touches your live customers, so online stores can review it calmly and ask for changes before anything goes public in the chatbot work.
- 05
Launch and watch
We switch the bot on for a share of visitors first, review its conversations and then widen it when considering an AI chatbot. The step has a clear finish line, which means you always know whether the chatbot work for online stores is on time or running behind.
- 06
Hand over
You receive the playbook, the review queue and thirty days of fixes, and we remove our access on an AI chatbot. Questions that arise here are answered in writing, so there is a record of every decision made about chatbot for online stores.
Estimate what a support chatbot could save compared with per-resolution pricing for an AI chatbot
Fill in your own chat volume and the estimate compares a per-resolution fee with the running cost of a built chatbot, using figures you can change around an AI chatbot.
Chats the bot resolves each month–
Yearly cost at the per-resolution fee–
Yearly usage cost of a built chatbot–
The comparison leaves out our one-time fee and your help desk plan, which you pay in both cases, and it is meant for planning only on an AI chatbot.
AI Chatbot for Online Stores, questions answered in full
These are the questions owners ask before they act on an AI chatbot.
What is an AI chatbot for online stores?
It is a chat assistant that answers customers from your policies and order data.
Will the chatbot make things up?
Not when it is built to answer only from sources and to hand over when unsure.
How much does an AI chatbot cost?
Fixed fees start at $1,790 for a first chatbot, and usage costs are billed by providers.
Does it work with Shopify and WooCommerce?
Yes, through each platform’s interfaces and widgets.
How much does a build around an AI chatbot cost?
Our fee for a first job around an AI chatbot starts at $890 and is fixed and paid once, while workflow tools and language model usage are billed by their own providers, and we estimate that monthly total in writing before you decide.
Do you need my logins for work on an AI chatbot?
We need only the narrowest access each job requires, granted from your own accounts and revocable at any time, and for an AI chatbot we never keep a copy of your keys or customer data.
How long does a build around an AI chatbot take?
A first job usually goes live in two to five weeks depending on volume and tools, and we confirm the date in writing after you order on an AI chatbot.
Can I start with one job for an AI chatbot?
Yes, most owners start with the job that costs them the most hours and add others later at priced steps when considering an AI chatbot.
Put an AI chatbot to work without the guesswork
Choose a plan in the pricing calculator and continue to checkout, or request a quote that names your tools and the job you want first when considering an AI chatbot. Within one working day you receive a written start date and a short checklist for an AI chatbot.
- One fixed price from $1,790, paid once
- Every answer cites your own policy
- A month of corrections after launch