I am genuinely impressed with the work the Checkout Loom team did on my AI and automation project. They are extremely professional, skilled, friendly and easy to work with, and I am delighted with the final result.
AI customer support chatbot for digital product sellers that solves access and download problems instantly
AI customer support chatbot for digital product sellers earns its place only when it answers from your real return policy, your real shipping times and the customer’s real order, because a chatbot that improvises costs more in refunds and trust than it saves in tickets. We build the chatbot on your site and your help desk, ground every reply in sources it can cite, set limits on what it may promise, and pass anything sensitive to your team with the whole conversation attached, for a fixed price instead of a fee on every conversation in a digital product seller shop. Digital product support is mostly about access, where is my download, the link expired, the file will not open, can I use it commercially, and a chatbot that reads the order, resends access safely and explains licence terms resolves most of it without a human.
- Fixed price from $1,790, no fee per chat
- Every answer is grounded in your sources
- Difficult chats go to a person with context
- Platforms supportedShopify, WooCommerce, BigCommerce, Wix and custom storefronts, with order lookup wherever the platform exposes an API in a digital product seller shop.
- Typical storeDigital product sellers with automatic delivery and customers who need help opening files.
- Knowledge sourcesYour policy pages, help articles, product catalogue and past tickets, kept in sync so the bot never answers from an outdated page with digital product sellers in mind.
- Stores coveredOne store per plan, with extra storefronts and languages available as priced options with digital product sellers in mind.
- HandoffGorgias, Zendesk, Help Scout, Freshdesk or a shared inbox, with the conversation and a short summary attached for digital product sellers.
- Live inTwo to three weeks for a standard build and up to six weeks for an advanced build with actions and several languages with digital product sellers in mind.
Why free and generic support chatbots disappoint the stores that install them for digital product sellers
Most store owners meet the same sequence, which is a free chatbot installed in an afternoon, a few strange answers in the first week and a quiet decision to switch it off because nobody can say what it told customers for digital product sellers.
Download links that expire
Customers lose links, and the bot resends access safely. Many owners only notice this problem when a customer complains, so catching it earlier is one of the quiet benefits of customer support chatbot for digital product sellers.
Files that will not open
Software problems need diagnosis, and the bot asks the right questions. Left alone, this problem repeats with every order, which is why customer support chatbot for digital product sellers is built to handle it by rule and not by memory.
Licence questions
Commercial use questions repeat, and answers cite the licence. It is easy to overlook until a busy week exposes it, and by then the cost to digital product sellers is already counted in refunds, hours or lost sales in the customer support chatbot work.
Refund requests
Digital refunds need policy, and the bot applies it fairly. The fix is not more effort but a better rule, and that is exactly what the customer support chatbot build for digital product sellers puts in place.
Chargebacks
Disputes cost money, and evidence is gathered. Many owners only notice this problem when a customer complains, so catching it earlier is one of the quiet benefits of customer support chatbot for digital product sellers.
Account and email mix-ups
Orders are placed under other emails, and the bot helps find them. Left alone, this problem repeats with every order, which is why customer support chatbot for digital product sellers is built to handle it by rule and not by memory.
- $0.90is the price Gorgias lists for each automated interaction on annual billing, which shows how per-resolution pricing scales with volume across a digital product seller business.
- 2024is the year a tribunal held an airline liable for what its website chatbot told a customer, which is why answers must be grounded with digital product sellers in mind.
- 1 in 5tickets is an order status question in published helpdesk data, so a bot without order access leaves the largest category untouched for digital product sellers.
Sources: Gorgias pricing page; Moffatt v Air Canada, 2024 BCCRT 149; Gorgias and Yuma published ticket category data in a digital product seller shop.
What changes in your support once a grounded AI chatbot is live for digital product sellers
Customers get instant, cited answers, and your team sees only the conversations that need a person across a digital product seller business.
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 across a digital product seller business.
- Order questions are answered from the live order and tracking.
- Each conversation is logged and wrong answers are flagged for review with digital product sellers in mind.
- 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 across a digital product seller business.
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.
Which digital product sellers should build a support chatbot instead of installing a free one
If your policies are written down and customers keep asking about them, a grounded chatbot pays back quickly, and the more specific your rules, the more it beats a generic one for digital product sellers.
Sellers with high volume
They gain hours, and this is the kind of situation where a fixed-price build is easier to justify than a monthly subscription for customer support chatbot for digital product sellers. This is the kind of situation where a fixed-price build is easier to justify than a monthly subscription for customer support chatbot for digital product sellers.
Sellers with complex software files
They gain troubleshooting, and we look at this situation in the audit and give digital product sellers an honest view of whether the build is worth doing now or later in the customer support chatbot work. We look at this situation in the audit and give digital product sellers an honest view of whether the build is worth doing now or later in the customer support chatbot work.
Sellers with licence tiers
They gain clear answers, and if this describes your business, the customer support chatbot work for digital product sellers is likely to pay back quickly, and we will tell you plainly if it will not. If this describes your business, the customer support chatbot work for digital product sellers is likely to pay back quickly, and we will tell you plainly if it will not.
The conversation events that decide how the chatbot answers for digital product sellers
The chatbot treats every message as an event with a clear next step rather than a free-form chat in a digital product seller shop.
question_receivedCustomer asks a question
The message is classified as policy, product, order or other before any answer is chosen across a digital product seller business. Each moment like this has its own rule, so customer support chatbot for digital product sellers behaves the same way every time and never has to guess what to do next.
source_matchedA source is found
The bot retrieves the matching policy or article and answers using its wording, with a link for digital product sellers. The event is logged with the rule that handled it, which lets you check later exactly what customer support chatbot did for digital product sellers and why it did it.
order_lookupOrder identity confirmed
After the customer confirms their email or order number, the bot reads the live order and tracking in a digital product seller shop. Because this trigger is handled separately from the others, a problem with it never delays the rest of the customer support chatbot work for digital product sellers.
low_confidenceNo good source exists
When nothing in the sources supports an answer, the bot says so and offers a person instead of improvising with digital product sellers in mind. You decide how much of this runs without approval, and for digital product sellers we usually begin with a review step until the first results look right in the customer support chatbot work.
sentiment_flagCustomer sounds upset
Frustration, legal words or repeated contact route the chat to a person at once across a digital product seller business. Anything this trigger cannot decide safely is passed to you with the record attached, so customer support chatbot for digital product sellers never acts on a doubtful reading.
chat_closedConversation ends
The outcome and category are logged, and a short rating request can follow a resolved chat for digital product sellers. We test this moment on your own records before launch, so the customer support chatbot build for digital product sellers has met it before it meets a real customer.
One support chat followed from the question to a cited answer and a clean handoff for digital product sellers
This shows how the bot stays within what it can support and how a difficult case reaches a person intact for digital product sellers.
- 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 in a digital product seller shop. Because the steps are separate, a change to one of them, such as a new rule for digital product sellers, does not disturb the others in the customer support chatbot flow.
- 02
The source is found
It retrieves the personalised items section of your returns policy, which says such items are final sale unless faulty with digital product sellers in mind. The same step is repeated for every item in the batch, so the tenth record receives the same care as the first when customer support chatbot runs for digital product sellers.
- 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 in a digital product seller shop. Anything unusual at this point is flagged in plain words, which saves you from reading logs to understand what the customer support chatbot work found for digital product sellers.
- 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 for digital product sellers. At the end of this stage you can pause, adjust a rule or carry on, so customer support chatbot for digital product sellers always moves at the pace that suits you.
- 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 with digital product sellers in mind. Every step like this is recorded, so the customer support chatbot work for digital product sellers can be traced from the first input to the final result without any gaps.
- 06
The log is updated
The conversation is categorised as faulty personalised item, and the pattern appears in the weekly report if it repeats in a digital product seller shop. If the step cannot finish, the record says why and waits for you, so customer support chatbot for digital product sellers never moves on with a half-completed task.
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 digital product sellers
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 with digital product sellers in mind.
Volume and size of the sources
A large catalogue or many policies take longer to index and test for digital product sellers. You can lower the cost by tidying this part first, and we say so plainly in the plan when the customer support chatbot work for digital product sellers would benefit.
Actions the bot can take
Starting returns, issuing labels and applying capped refunds add rules and tests beyond answering in a digital product seller shop. Anything extra that this factor creates later is quoted before it is built, so the fixed price for customer support chatbot never grows by surprise for digital product sellers.
Languages
Each language multiplies the wording checks and the test questions. We explain this factor in the quote in plain words, because digital product sellers should understand what drives the price before agreeing to anything in the customer support chatbot work.
Help desk complexity
Several queues, tags and approval rules add configuration. Changes to this factor after the quote are handled as a written change, with its own price, and never as a hidden charge on customer support chatbot for digital product sellers.
Review and training needs
A larger team that reviews answers needs a fuller review queue and handbook with digital product sellers in mind. A smaller first build can leave this factor for later, and digital product sellers can add it at a priced step once the first results are in in the customer support chatbot work.
Reporting depth
Topic maps and cost-per-ticket dashboards take extra build time. The tools around customer support chatbot bill separately, and we estimate their monthly cost for this factor so your running cost is known as well as the build for digital product sellers.
Language model usage, help desk plans and tracking services are billed by their providers in a digital product seller shop.
Ready to price AI Customer Support Chatbot for Digital Product Sellers?
AI customer support chatbot for digital product sellers answers download, access, licence and refund questions from the order system and written policies, and escalates abuse or disputes.
- 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 digital product sellers
Once the sources and the handoff exist, the chatbot can do more than answer questions with digital product sellers in mind.
Bug reports
Product issues are logged, and teams that run customer support chatbot for digital product sellers usually add this once the first batch has settled, because by then the data behind it is already clean. Teams that run customer support chatbot for digital product sellers usually add this once the first batch has settled, because by then the data behind it is already clean.
Update notices
Buyers hear of updates, and the extra job is measured against a simple before-and-after comparison, so digital product sellers can see whether it was worth adding to the customer support chatbot plan. The extra job is measured against a simple before-and-after comparison, so digital product sellers can see whether it was worth adding to the customer support chatbot plan.
Review prompts
Reviews are requested, and because the groundwork for customer support chatbot on digital product sellers already exists, this extra job needs very little new work and is quoted in writing before it starts. Because the groundwork for customer support chatbot on digital product sellers already exists, this extra job needs very little new work and is quoted in writing before it starts.
Which data the chatbot reads and where each fact comes from for digital product sellers
The bot is only as accurate as the sources behind it, so we list every source and who owns it in a digital product seller shop.
| 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 with digital product sellers in mind.
Edge cases in support chatbots that we test before launch for digital product sellers
A chatbot is judged by its worst answers, so we test the awkward questions deliberately and keep the results for digital product sellers.
Suspected sharing
Cases escalate, and the weekly report counts how often this case occurs, which tells digital product sellers whether it deserves a better rule or is simply rare in the customer support chatbot work. The weekly report counts how often this case occurs, which tells digital product sellers whether it deserves a better rule or is simply rare in the customer support chatbot work.
Gift purchases
Recipients are helped safely, 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 customer support chatbot build for digital product sellers. 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 customer support chatbot build for digital product sellers.
Region-locked content
Regional limits are explained, and we list the cases that matter most for customer support chatbot in your handover guide, so anyone on your team can understand how digital product sellers deals with them. We list the cases that matter most for customer support chatbot in your handover guide, so anyone on your team can understand how digital product sellers deals with them.
Free chatbots, help desk AI add-ons and a built chatbot compared for digital product sellers
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 for digital product sellers.
| 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 in a digital product seller shop.
How the support chatbot is built and what each part costs for digital product sellers
We choose the parts that fit your store and write down what each one will cost every month next to our fixed build fee across a digital product seller business.
A language model with retrieval
A current model reads only the passages retrieved from your policies and articles, with instructions that forbid inventing terms in a digital product seller shop. If the layer fails or changes its terms, the handover guide explains how to swap it, so digital product sellers is never stranded by one supplier in the customer support chatbot work.
Your help desk
Gorgias, Zendesk, Help Scout or Freshdesk receive handoffs, tags and summaries, so your team keeps one queue with digital product sellers in mind. Its role is written in plain language in the handover guide, which means a new team member at digital product sellers can understand it in a few minutes in the customer support chatbot work.
Order and tracking connections
Read access to orders on Shopify, WooCommerce or BigCommerce, and carrier tracking through a tracking service across a digital product seller business. The monthly price of this layer is written next to our fixed fee before you commit, so the true cost of running customer support chatbot for digital product sellers is clear from day one.
A chat widget
A lightweight widget matched to your brand, loaded after the page so it does not slow checkout across a digital product seller business. You can replace this layer later with another tool, because the rules live in a table you own and are not locked inside any one product in the customer support chatbot build for digital product sellers.
A review queue
A simple view of low-confidence answers where you correct the sources and improve the next reply for digital product sellers. We choose the lightest option that does the job for digital product sellers, since a simpler layer means fewer things to maintain and fewer ways to fail in the customer support chatbot work.
Make, Zapier or n8n
Glue for connections that lack a native integration, with retries and alerts on every step across a digital product seller business. If you already pay for something that covers this need, we use it, and we only add a new service when customer support chatbot for digital product sellers genuinely requires one.
How we keep the chatbot accurate and available for digital product sellers
Accuracy depends on sources and testing more than on the model, so that is where the reliability work goes in a digital product seller shop.
Cited answers only
A reply must rest on a retrieved source, and otherwise it becomes a handoff for digital product sellers. The safeguard is tested during the trial batch by feeding it deliberately awkward records, so digital product sellers sees how it behaves before real customers are involved in the customer support chatbot work.
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 in a digital product seller shop. Everything the safeguard decides is written to the log with the reason, giving digital product sellers a trail that is useful when someone asks what happened and why in the customer support chatbot work.
Re-indexing on change
Sources refresh on a schedule and whenever you publish a policy change with digital product sellers in mind. 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 customer support chatbot build for digital product sellers.
Alerts for failures
Index failures, lookup errors and model outages raise alerts that name the part that failed across a digital product seller business. Reports on how often the safeguard fires show digital product sellers whether the customer support chatbot work is getting steadier or whether a rule needs attention.
Response time tracking
First reply and resolution times are tracked so slowdowns show early for digital product sellers. Because this protection is written as a rule and not as a habit, it keeps working when staff change or the business gets busier in the customer support chatbot build for digital product sellers.
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 across a digital product seller business. When something goes wrong in customer support chatbot for digital product sellers, the failure is named, retried within safe limits and listed for you, instead of vanishing into a log nobody reads.
Privacy, permissions and data handling for a support chatbot for digital product sellers
A chatbot sees customer messages and order details, so we limit access and say clearly where the data goes for digital product sellers.
Least-privilege access
The bot reads orders and writes only the notes and tickets you approve in a digital product seller shop. If a key is ever lost, it can be replaced in minutes without rebuilding the customer support chatbot work for digital product sellers, because the rules do not depend on it.
Verified before order details
Order information is shared only after the customer confirms the email or order number with digital product sellers in mind. 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 customer support chatbot build for digital product sellers.
Keys held by you
Every API key is created in your own accounts, so you can cut our access off with one click for digital product sellers. Customer details are never used to train outside models, and drafts for digital product sellers are built only from the facts and records you supply in the customer support 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 with digital product sellers in mind. We explain in plain words what each permission allows, so the person approving it for digital product sellers knows exactly what they are agreeing to in the customer support chatbot work.
Retention you control
Chat logs are kept for a period you choose and deleted on request for digital product sellers. At the end of the engagement you receive a list of every connection that was made, so nothing stays open by accident in the customer support chatbot build for digital product sellers.
Access removed at handover
You get a list of everything we changed, and our logins are closed on the day we finish across a digital product seller business. For customer support chatbot on digital product sellers, access is limited to what the job needs and can be withdrawn in a minute, so ending the work leaves nothing behind.
What you receive with your AI customer support chatbot for digital product sellers
Each plan ends with a working chatbot, a tested set of answers and the notes to keep it accurate with digital product sellers in mind.
- A chatbot on your site that answers from your policies, articles and catalogue in a digital product seller shop.
- 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 for digital product sellers.
- A question set drawn from your own past chats, with every result recorded with digital product sellers in mind.
- 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 digital product sellers
These are the unedited words of verified clients of the Checkout Loom team, followed by the facts that shape how we build support chatbots in a digital product seller shop.
- $0.90per automated interaction is the published Gorgias price on annual billing, one reason we compare fixed builds with per-resolution fees in a digital product seller shop.
- 2024is when a tribunal held a business responsible for its chatbot’s statements, so every answer we build cites a source with digital product sellers in mind.
- 30 daysof fixes follow launch so the bot is stable before we step back in a digital product seller shop.
Pricing is taken from vendor pages and confirmed again at build time; the legal case is Moffatt v Air Canada, 2024 BCCRT 149 in a digital product seller shop.
The Checkout Loom team built an automation that simplified my workflow and worked perfectly from day one. Communication was excellent, delivery was fast, and I would happily recommend the service.
They set up my automation remarkably fast and executed everything perfectly. Communication and service were top tier, so I could not be happier with the results and I highly recommend the Checkout Loom team.
The automation was set up in a clean and practical way by the Checkout Loom team. It saved me a lot of manual work and made the whole process much easier.
I highly recommend ordering from the Checkout Loom team. I had slow responses and poor communication with other providers, but this team was great and I am very happy with their service.
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.
The determination and commitment to quality from the Checkout Loom team were clear from day one. They understood my requirements perfectly and completed everything with professionalism and care, and it is rare to find a team this dependable.
It was an excellent experience from start to finish, and the automation works reliably with everything configured properly. It is clear that the team has strong knowledge of automation, and I will definitely be returning for future work.
The team carefully investigated the problem, tested different scenarios and delivered a dependable solution. A duplicate contact issue had been causing problems for quite some time, and it is finally resolved.
How the chatbot build runs from sources to a launched, monitored bot for digital product sellers
We build from your own words, because a bot trained on them gives answers your team recognises with digital product sellers in mind.
- 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 across a digital product seller business. A short summary of the step is added to the handover guide, so the way customer support chatbot was built for digital product sellers 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 in a digital product seller shop. You see the result of this step in writing before the next one begins, which keeps the customer support chatbot build for digital product sellers 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 for digital product sellers. If this step shows a problem, we say so at once and propose the fix, and the date for customer support chatbot is moved in writing rather than quietly for digital product sellers.
- 04
Test against real questions
We run your past questions through the bot, compare its replies with your team’s and fix the differences across a digital product seller business. Nothing in this step touches your live customers, so digital product sellers can review it calmly and ask for changes before anything goes public in the customer support chatbot work.
- 05
Launch and watch
We switch the bot on for a share of visitors first, review its conversations and then widen it for digital product sellers. The step has a clear finish line, which means you always know whether the customer support chatbot work for digital product sellers 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 in a digital product seller shop. Questions that arise here are answered in writing, so there is a record of every decision made about customer support chatbot for digital product sellers.
Estimate what a support chatbot could save compared with per-resolution pricing for digital product sellers
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 with digital product sellers in mind.
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 in a digital product seller shop.
AI customer support chatbot questions, answered in full for digital product sellers
These are the questions store owners ask about accuracy, cost, free options and examples before they order a support chatbot in a digital product seller shop.
What is an AI customer support chatbot for an online store for digital product sellers?
It is a chat assistant on your website that answers customer questions using a language model, but only from your own policies, help articles, catalogue and live orders, and that passes difficult cases to your team with the conversation attached for digital product sellers.
Is there an AI customer support chatbot free option that is good enough for digital product sellers?
Free plans are useful for testing, but they usually cap conversations, offer little control over what the bot may promise and give no reporting on wrong answers across a digital product seller business. For a store with written policies and real order questions, a grounded build is usually safer in a digital product seller shop.
What do AI customer service chatbot examples look like in practice for digital product sellers?
Typical AI customer service chatbot examples include a bot that quotes your return window and links the policy, one that reads an order and gives the real delivery day, and one that suggests a size from your chart and offers a person when the customer is unsure across a digital product seller business.
How does AI customer service chatbot pricing usually work for digital product sellers?
AI customer service chatbot pricing is commonly a monthly plan plus a fee per automated resolution, such as the $0.90 per interaction that Gorgias lists on annual billing with digital product sellers in mind. Our model is a fixed build fee plus the language model usage, which we estimate in writing for your volume for digital product sellers.
How do you stop the chatbot from making up answers for digital product sellers?
It may answer only from passages retrieved from your sources, it must cite them, and when nothing supports an answer it says so and offers a person for digital product sellers. Each release is tested against your real past questions before customers see it in a digital product seller shop.
Can the chatbot look up orders for digital product sellers?
Yes, after the customer confirms the email or order number, the bot reads the order and tracking and gives the real delivery day, using read access only unless you approve actions such as returns for digital product sellers.
Does the chatbot replace my support team for digital product sellers?
No, it handles routine questions so your team can spend time on the conversations that need judgement, and any customer can ask for a person at any time in a digital product seller shop.
Which help desks and platforms work with it for digital product sellers?
Gorgias, Zendesk, Help Scout and Freshdesk work for handoff, and orders can be read on Shopify, WooCommerce, BigCommerce and most platforms with an API, with any gap quoted in writing across a digital product seller business.
How soon can the chatbot go live and what do you need first for digital product sellers?
A standard build is usually live in two to three weeks with digital product sellers in mind. We need your policy pages, help articles, an export of recent tickets and read access to your store, and we send a written checklist after you order for digital product sellers.
Will running costs rise when more customers use it for digital product sellers?
Model usage grows with volume but stays small per chat, and we show the estimate for your volume in writing with digital product sellers in mind. Because our fee is fixed, you do not pay a charge on each resolution across a digital product seller business.
Give your customers instant answers you can stand behind for digital product sellers
Choose a plan in the pricing calculator and continue to checkout, or request a quote listing your platform, help desk and the questions customers ask most across a digital product seller business. We reply in writing within one working day with a confirmed start date and a short checklist, so source collection starts straight away with digital product sellers in mind.
- One fixed price from $1,790, paid once
- Every answer cites your own policy
- A month of corrections after launch