Every feature, explained.

AI reads your FAQs, uploaded documents, and policy pages as the source of truth for every answer. The assistant never invents information outside of what you have approved.

Handles "where is my order?" and delivery questions using live Magento order data. Customers get a real status, not a generic redirect to their inbox.

Guides customers through return eligibility, required steps, and refund timeline — based on your configured policy, not invented rules.

When confidence is low or the case is sensitive, the assistant escalates to a human teammate with the full conversation context attached. No context loss.

Detects the customer language automatically and replies in English, Ukrainian, Dutch, German, or French. One operational setup handles all five storefront languages.

Recommends specific products from your live catalog based on what the customer is describing or asking. Suggestions include product cards the customer can act on immediately.

Asks guided questions to narrow down options when a customer is browsing without a clear intent. Feels like talking to a knowledgeable sales associate.

Generates a structured side-by-side table when a customer asks to compare two or more products. Pulls from real catalog attributes, not summaries.

Measures impressions, clicks, CTR, and conversions by strategy and context so merchants can see which recommendation surfaces actually move revenue.

Limits how many recommendation placements or result slots can be active on the current plan, which keeps storefront surfaces disciplined and predictable.

Adds affinity-based ranking and customer-level personalization depth on top of trending and category logic. Unlocks the strongest ranked strategy.

Build trigger → rule → action flows: route conversations, escalate based on intent, send notifications, or tag sessions automatically based on what happens in chat.

Seed common rules for escalation, lead capture, returns routing, and internal notifications instead of building every workflow from scratch.

Surfaces workflow-driven escalation posture, enabled rules, and routing destinations as a readable operator-facing policy layer.

AI analyzes real conversation patterns and surfaces frequently asked questions your knowledge base does not yet cover. Merchant approves before publishing.

A health snapshot of your AI: which features are active, where customer friction exists, and what to tune next. Connects analytics to operational action.

Growth unlocks the merchant-controlled proactive engine with scenario scoring, cooldowns, and the standard scenario library for session-aware nudges.

Pro and Agency unlock the full 20-scenario library, including decision assist, soft exit catch, cart insight, second chance assist, and idle resume.

A shorter dwell path on product and cart pages can surface reassurance or FAQ help within seconds when the context is strong enough.

On product pages, the assistant can show inline FAQ rows first and fall back to confidence-building facts when product FAQ content is missing.

Track impressions, performance, and merchant tuning opportunities for proactive prompts instead of treating the layer like an opaque pop-up system.

After a recommendation session, the customer receives a shareable link to their personalized product list. Drives word-of-mouth and comparison sharing.

Turns a product discovery conversation into a shareable wishlist page. Customers share it with partners, family, or colleagues. Useful for gifting and B2B use cases.

A dedicated AI assistant page for your store — discoverable in search, shareable directly, and accessible outside the storefront widget. Extends reach beyond the checkout flow.

Track page views, product opens, add-to-cart actions, store opens, assistant launches, and share actions across advisor and wishlist surfaces.

Customers are identified via OTP before the assistant provides order details, account actions, or sensitive responses. Prevents unauthorized data access in chat.

A one-time password sent to the customer email address confirms identity during the conversation. Required before order or account access is granted.

An SMS one-time password for higher-confidence identity verification. Useful for high-value orders or markets where email confirmation is not sufficient.

Verified customer history, previous conversations, and session context are visible to the AI and to merchant teams inside the workspace. No context loss across sessions.

A live two-way connection to your Magento 2 store. The assistant reads real catalog data, real order statuses, and real customer information — not a cached snapshot.

Product catalog is synced automatically to power AI recommendations, comparisons, and discovery answers. Stays current without manual exports.

Configure chat widget placement, identity, welcome copy, consent behavior, and storefront presentation without touching the Magento theme directly.

Set AI tone, persona type, escalation logic, forbidden phrases, brand voice, and business rules — separately per conversation mode (support, sales, advisor).

Define which languages are supported, how language detection behaves when a customer switches mid-conversation, and what fallback language to use.

Conversations processed, handoffs triggered, top intents, recommendation clicks, and support load — all in one workspace view. Refreshes in near real-time.

Break down recommendation performance by strategy, context, CTR, and conversion instead of only tracking generic chat usage.

Inspect scenario performance, fast-path behavior, and operational tuning opportunities for proactive commerce.

Deep commerce signals including growth funnel data, proactive prompt performance, advisor page conversion, refund risk trends, and AI feature activation breakdown.

Internal setup guides, platform PDF manuals, and operational documentation in one workspace-visible place. Keeps onboarding knowledge accessible to the whole team.

Removes the "Powered by AI.Support" badge from the chat widget. The assistant appears as a fully native part of your storefront without third-party attribution.

Run multiple storefront programs with a shared product, support, and growth operating model while keeping workspace-level control where needed.

A dedicated support queue with faster response times for technical questions, integration issues, and incident escalations. Separate from standard ticket volume.

A top-level operating view for agencies that need to review multiple storefront programs, billing posture, and rollout status in one place.

Role-aware access controls for operators working across several merchant environments without collapsing every workspace into one flat admin role.