AI online agent for ecommerce support and sales
Resolve support, recommend products, and guide orders in every customer language.
AI.Support Agent helps ecommerce teams answer FAQs, recommend products, handle order-status and return questions, and route complex cases to humans without losing context.
24/7 customer replies
Magento-ready
Stripe-aligned billing clarity
Built for cross-border stores, lean support teams, and merchants who need clear billing and policy expectations.
Magento
Stripe billing
REST / GraphQL
CSV feeds
Human handoff
EN / NL / DE / FR
Why teams buy
Sell outcomes, not extra tooling.
The product is designed to reduce repetitive workload, improve customer experience, and turn service conversations into revenue opportunities.
Fewer repetitive tickets
FAQ, tracking, delivery, and return-policy questions are answered instantly without filling the queue.
Higher conversion from chat
Recommendations, alternatives, and cross-sell prompts appear inside the same conversation that solves the customer question.
Multilingual coverage
Customers can write in their own language while your team keeps one controlled knowledge and escalation setup.
Clearer post-purchase experience
Order status, delivery estimates, and return steps stay easy to find, which reduces frustration and chargeback risk.
How it works
Fast to understand in five seconds, deep enough to trust before buying.
The experience is designed to be explainable to a merchant evaluating risk, conversion impact, and operational fit.
Connect your sources
Bring in FAQs, help content, product data, policies, and storefront context.
Answer and recommend
The agent replies in the customer language and can attach product cards when the conversation has sales intent.
Resolve post-purchase questions
Tracking, delivery, and return-policy guidance are handled in the same flow.
Escalate when needed
Low-confidence cases or sensitive requests move to a human with the full transcript and context attached.
Support plus sales
Answer the question, then help the customer buy.
Most support tools stop at deflection. AI.Support Agent resolves service questions and then helps the shopper discover the right item, alternative, or add-on inside the same chat.
- Recommend products from live catalog data, categories, and attributes.
- Show compatible alternatives when a product is unavailable or not the right fit.
- Keep tone aligned with brand voice instead of generic assistant language.
Multilingual by design
Customers ask in their own language. The experience still feels consistent.
The assistant can detect the customer language, answer naturally, and keep brand rules and escalation logic intact across markets.
- English is the canonical setup language for content and governance.
- Reply in Dutch, German, French, or English without making the storefront feel fragmented.
- Pass language context to the support team during handoff.
Post-purchase automation
Turn order tracking and returns into self-service instead of queue volume.
Customers should not wait for a human to answer “Where is my order?” or “How do I return this?”. These are high-frequency moments that need clarity, speed, and policy control.
- Explain order status and delivery timing in plain language.
- Guide customers through return steps and refund expectations.
- Reduce frustration with visible, consistent answers before a dispute starts.
Benefits by team
The same agent solves different problems for different stakeholders.
That matters in real buying cycles, where support, ecommerce, growth, and operations all evaluate the software from different angles.
Lower repetitive ticket volume and faster escalations.
- 24/7 first response
- Handoff with transcript context
- Consistent answers on policy-heavy questions
Better product discovery and stronger onsite conversion.
- Product cards in chat
- Alternative suggestions
- Catalog-aware conversation flows
More value from traffic you already paid for.
- Support-to-sales conversion
- Lead capture opportunities
- Better customer experience across markets
Scale service without linear headcount growth.
- Order and return self-service
- Lower queue volatility
- Clear billing and access governance
Conversation examples
Show the practical value in real ecommerce moments.
The strongest proof is not abstract AI language. It is seeing how the agent handles high-frequency commerce scenarios.
Customer
I need a waterproof backpack for weekend hiking. Which one should I choose?
AI.Support Agent
The Atlas 28L is the best match for weekend trips. It is waterproof, fits a hydration sleeve, and has a lighter profile than the Trail 35L. If you want more packing room, I can show two alternatives.
Turns discovery into an immediate recommendation flow.
Customer
Where is my order? I have not received it yet.
AI.Support Agent
Your order left the warehouse yesterday and is in carrier transit. The latest scan shows expected delivery tomorrow before 18:00. I can also share the tracking link and delivery steps.
Resolves a high-volume post-purchase question quickly.
Customer
Can I return this if it does not fit?
AI.Support Agent
Yes. Unused items can be returned within 30 days. Start with the return form, pack the item with the original tags, and keep the tracking receipt until the refund is confirmed.
Explains policy clearly and reduces frustration.
Integrations
Connect the agent to the systems that already run the store.
The site positions the product as flexible, not fragile. Magento is a lead integration path, but the architecture also supports feeds, APIs, and storefront context.
Magento
Sync products, attributes, and order context without assuming a heavy module-first setup.
Product feeds
Import catalog data from CSV or structured exports when API access is limited.
APIs and webhooks
Use API-based lookups and workflow hooks for order and support operations.
Embeddable widget
Install a storefront widget and control when it appears across customer journeys.
Product demo
A premium storefront experience with an operator-grade control layer behind it.
This should look like a serious software product: calm, controlled, and explainable from the first scroll.
Knowledge and policy control
Keep FAQ, delivery, and return-policy answers aligned with approved content.
Billing visibility
Make trial behavior, renewal timing, cancellation paths, and access state easy to understand.
Human handoff
Let the team step in without losing language, intent, or order context.
Pricing
Choose a plan that matches support load, catalog depth, and service expectations.
Clear plan design reduces buying friction and makes Stripe checkout behavior easier to trust.
Recognizable charges
Stripe receipts, invoices, and card statements should clearly reference AI.Support B.V. or AISUPPORT so customers know what they purchased.
Self-serve cancellation
Customers can cancel from the billing portal or by contacting billing@ai.support before the next renewal date.
Policy alignment
Pricing, trial messaging, cancellation timing, and refund language stay aligned with the Terms, Privacy Policy, Refund Policy, and live Stripe settings.
Starter
For small stores launching support automation.
EUR 59
/month
- 2,000 conversations per month
- 1 bot workspaces
- Human handoff
Growth
For scaling merchants with catalog and tracking automation.
EUR 149
/month
- 15,000 conversations per month
- 3 bot workspaces
- Manual override visibility
Scale
For high-volume merchants needing advanced controls and analytics.
EUR 399
/month
- 100,000 conversations per month
- 10 bot workspaces
- Priority support
FAQ
Common questions before a merchant books a demo or starts a trial.
These answers reduce uncertainty early, especially around tone, recommendations, multilingual support, and human control.
Will the assistant sound robotic?
No. Merchants define tone, approved knowledge, escalation rules, and handoff triggers so answers stay on-brand instead of reading like a generic bot.
Can it recommend the right products?
Yes. Recommendations can use product titles, descriptions, attributes, categories, FAQs, and catalog rules, then present clickable product cards directly in chat.
Can it handle tracking and returns?
Yes. The same agent can answer order-status questions, explain delivery timing, and guide customers through return-policy steps without sending them to separate pages.
What if the assistant is not confident?
Low-confidence or policy-sensitive cases can escalate to a human with the conversation, language, and reason attached so your team can respond quickly.
Does it work with Magento?
Yes. Magento is a core integration path. Stores can connect through APIs, feeds, or storefront context instead of relying on a heavy module by default.
Can customers write in different languages?
Yes. The assistant can detect and reply in the customer language while keeping your internal setup and reporting structured.