TukiAI is an AI sales and service agent for WooCommerce stores. It is designed to help customers in real time:
answer questions, understand buying intent, recommend products, assist with sales conversations,
support customers after purchase, and reduce repetitive manual work for store owners and support teams.

The key difference is that TukiAI is not just a chat window. It is built to become part of the store’s sales
and service workflow.

TukiAI includes conversational AI like a chatbot, but its role is broader.
A regular chatbot mostly answers questions. TukiAI is designed to work as an AI agent:
understand context, use WooCommerce catalog data, recommend products, support sales,
and assist with service requests after purchase.

A more accurate description is: an AI sales and service agent for WooCommerce.

An automated FAQ can answer fixed questions such as “What are your opening hours?” or “How much is shipping?”.
In a real online store, customers often need more than that. They compare products, look for recommendations,
ask for alternatives when something is out of stock, or need help after an order has already been placed.

TukiAI is designed for more dynamic conversations: understanding need, asking follow-up questions,
using real store information, and helping customers move toward action.

Not necessarily. The goal is not to replace every human conversation.
The goal is to reduce repetitive conversations and provide instant help when no one is available.

For simple cases, the agent can answer, recommend, or assist by itself.
For complex, sensitive, or business-critical cases, the right approach is to involve a human.
A good AI agent should extend the team’s capacity, not remove the need for human judgment.

TukiAI is currently focused on WooCommerce stores. That focus matters because the agent is not trying to be
a generic solution for every website. It is built around WooCommerce needs: catalog, products, variations,
inventory, orders, sales conversations, and post-purchase service.

If your store is not built on WooCommerce, you should check compatibility before starting.

TukiAI connects to your WooCommerce store and learns relevant catalog information:
product names, descriptions, categories, variations, prices, stock status, and additional information
that can help customers.

The clearer and more complete your product pages are, the better the agent can answer and recommend.
An AI agent does not replace a weak catalog; it makes a strong catalog easier to use through conversation.

TukiAI is designed to work with store data, including stock and pricing, when that information is available
and synchronized through WooCommerce. The goal is to avoid recommending unavailable products and suggest
relevant alternatives when possible.

It is important to keep inventory management inside WooCommerce accurate. If your WooCommerce inventory is not updated,
the agent may also receive inaccurate information.

When the data exists and is organized inside WooCommerce, the agent can use it to help customers understand
which options are available. This may include colors, sizes, models, bundles, versions, or product differences.

If your product variations are not clearly configured, it is worth improving them before launch.
That can improve both product page SEO and the quality of the agent’s responses.

TukiAI can work with the information that exists, but it cannot reliably know information that is missing.
If a product description is incomplete, shipping policy is unclear, or product compatibility is not explained,
it is worth improving that content before or during the pilot.

Customer conversations can also help reveal missing catalog information.
If many customers ask the same question, that is a strong signal that the product page should be improved.

Many customers do not leave because the product is bad. They leave because they did not get an answer in time,
did not understand which product fits them, or could not compare options clearly.

TukiAI helps at those moments: it answers immediately, asks clarifying questions, recommends products based on need,
explains differences, suggests alternatives, and helps customers move forward instead of leaving the site.

The goal of TukiAI is not only to match a keyword in a product description.
A customer may write “I need a gift for my dad under $100” or “What is best for an 8-year-old?”,
and the agent should understand context, budget, style, and buying intent.

That is the difference between site search and an AI sales agent:
search returns results; a good sales agent helps the customer choose.

Yes, when there is relevant context and catalog information. For example, if a customer is interested in a product,
the agent can suggest a matching accessory, a more suitable product, a bundle, or an alternative based on the customer’s need.

The recommendation should feel helpful, not aggressive. A good AI agent does not push a random product;
it explains why the recommendation is relevant.

It can help with one of the main causes of abandonment: uncertainty.
A customer who is close to buying but still has questions about shipping, fit, stock, warranty,
or product differences may leave if they do not get a fast answer.

TukiAI provides real-time help, which can support customers before they abandon.
However, cart abandonment is also affected by price, trust, UX, website speed, payment options,
and shipping costs.

TukiAI is designed to help the customer move through the buying journey:
understand what fits, receive a recommendation, reach the right product, and move toward the cart or checkout
according to how the store is configured.

The actual payment and order processing are handled through WooCommerce, the store’s payment providers,
and the store’s checkout settings. Under Pay as you Sell, a sale is counted when the customer ordered
and paid through the agent.

A service chat is a conversation that does not result in a sale but helps the customer with support or service:
order status, shipping questions, address changes, returns, order notes, or general information
that is not directly part of closing a purchase.

TukiAI’s Pay as you Sell model separates sales from service conversations.

TukiAI is designed to assist with order-related service requests when the store is connected
and the relevant information is available with the proper permissions.
For example: a customer asking about an order, whether a detail can be updated,
or whether a note can be added.

For sensitive actions, it is important to use clear permission rules so information is only shared
with the right customer.

TukiAI can assist with post-purchase requests when the action is allowed by store rules,
order status, and permissions. Examples include adding an order note, requesting an address change before shipping,
or passing a request to the team when human approval is needed.

Not every order can be edited at every stage. An order that has already been packed, shipped,
or processed by an external provider may require human handling or may no longer be editable.

The agent can help explain the store’s return and exchange policy, answer repeated questions,
and collect initial information from the customer. If the process requires approval, product inspection,
documentation, a refund, or an exception, the request should be handled by the team.

For better answers, your return policy should be clearly written and available on your site.

A good AI agent should not invent an answer. When information is unclear, missing,
or requires human judgment, the agent should say so, ask for more details,
or pass the conversation to a human.

This is important for trust. It is better to say “I’m not sure, I’ll send this for review”
than to give the customer an incorrect answer.

Setup is designed to be fast: install the plugin, connect your WooCommerce store,
and let the agent start learning your catalog. The actual start time depends on store size,
catalog quality, number of products, active plugins, and store configuration.

Organized stores with clear product data usually have a smoother start.

In most cases, no. TukiAI is designed for WooCommerce store owners who want to start without
a complex development project. You need to install a plugin and connect the store,
similar to other WordPress plugins.

If your store is highly customized, uses custom checkout flows, unusual integrations,
or complex plugin combinations, additional technical review may be useful.

TukiAI supports multiple languages and is designed for natural customer conversations.
This is useful for stores serving international audiences or customers who do not always write perfect queries.

For multilingual stores, it is especially important to test real customer language,
mixed-language product names, local expressions, and how the agent handles natural conversation.

TukiAI supports website chat and may support connected conversation channels such as WhatsApp,
depending on plan, setup, region, provider requirements, and store configuration.

Actual availability can depend on phone number setup, communication provider limits,
WhatsApp rules, country, and store configuration.

TukiAI is designed for WooCommerce, but WordPress stores can differ a lot:
themes, builders, caching plugins, language plugins, checkout plugins, and inventory plugins.

That is why testing the pilot on your real store is important. If there is a compatibility issue,
it is usually related to a specific theme, plugin, or configuration combination.

Yes. TukiAI offers a free pilot so store owners can test the agent on a real WooCommerce store
before choosing a paid plan.

The goal is to let you measure real value: sales assisted by the agent, service questions handled,
and manual work reduced.

Pay as you Sell is a results-based pricing model. Instead of committing to a large fixed cost upfront,
the store pays based on actual sales and service conversations, according to the current pricing terms.

This model is useful for store owners who want to test whether the agent creates value before moving
to a fixed monthly plan.

The Growth plan is designed for stores that prefer a predictable monthly cost and expect enough activity
to make a fixed plan more practical.

In practice, the right choice depends on your number of sales, service conversations, and how much you prefer
predictable billing over usage-based pricing.

Prices may be shown before taxes. VAT, sales tax, or other taxes may be added depending on country,
region, and payment provider.

In general, stores may switch between available plans according to the current pricing and billing terms.
Plan changes may apply immediately, on the next billing cycle, or according to the plan rules.

A common path is to start with a pilot or usage-based plan, then move to a fixed monthly plan as activity grows.

A good AI agent can significantly improve response speed and consistency, but it should not be treated
as a black box. Store owners should review conversations, improve product descriptions and policies,
and define when a conversation should be handed to a human.

Accuracy depends on the quality of your store data, configuration, synchronization,
and how the agent handles uncertainty.

The right approach is to connect the agent to real store information, keep it aligned with catalog and policy data,
and make sure it admits when there is not enough information.

It also helps to review real conversations, identify repeated questions,
and update product pages, shipping policies, return policies, and help content.

Any store using an AI agent should take privacy seriously, especially when customer conversations,
order questions, or service information are involved. Your privacy policy should explain how information
is collected, processed, and stored.

You can read more in TukiAI’s Privacy Policy:
Privacy Policy.

Reports can help store owners understand what customers ask, which products receive interest,
where customers hesitate, and where service friction appears before or after purchase.

The real value is not only seeing “how many chats happened”, but learning what can be improved:
product pages, categories, shipping policy, FAQs, complementary offers, and the overall buying experience.

Tone of voice is an important part of customer experience. A useful AI agent should sound appropriate
for the business: professional, friendly, concise, detailed, premium, casual, or technical,
depending on the brand and customers.

The clearer your product information, policies, values, and brand tone are,
the easier it is to guide the agent toward consistent and appropriate responses.

Yes. Small stores can benefit strongly from an AI agent because they usually do not have a full sales
and support team available 24/7. The agent can answer repeated questions, help customers choose,
and reduce workload for the store owner.

If you have very little traffic and almost no customer questions, the value may be smaller.
If you have repeated questions, customer hesitation, evening traffic, or service workload,
the value can be meaningful.

Yes, this is one of the situations where an AI agent can be especially useful.
The larger the catalog, the harder it is for customers to find the right product alone.
An agent that understands categories, needs, budget, stock, and product differences can turn search into conversation.

For large catalogs, it is especially important to keep product names, descriptions, variations,
and categories organized.

TukiAI is especially useful for stores where customers ask questions before buying:
fashion, accessories, electronics, home products, food, gifts, customizable products,
professional equipment, children’s products, cosmetics, and stores with many variations.

The more guidance a customer needs before buying, the more valuable an AI sales agent can become.

TukiAI may be less suitable if you do not use WooCommerce, if most of your sales happen only through social media
without a website, if your catalog is not organized at all, or if you need a large enterprise helpdesk
with dozens of agents, complex SLAs, and multi-team support processes.

It is best suited for WooCommerce stores that want to start quickly, test real value,
improve sales and service, and reduce manual work without building a complex system.

Do not measure only the number of conversations. Measure what matters to the business:

• How many service questions were handled without manual work.
• How many conversations contributed to purchases.
• Which products were sold through chat.
• Which questions customers ask repeatedly.
• Whether customers get answers outside business hours.
• Whether the agent helps customers find the right product faster.

The free pilot is designed for exactly this: testing value on your real store,
with real customers and real conversations.