Feature groups
Every feature ties back to service quality, conversion, or operating leverage.
This page is structured around business problems first: repetitive support work, product discovery friction, post-purchase confusion, and billing trust.
Support automation
Product recommendations
Order tracking
Returns guidance
Feature map
Organized around the full customer journey.
The site should make it obvious that the agent does more than answer generic support questions.
AI customer support
FAQ answers, policy guidance, and how-to replies in a consistent brand tone.
Product recommendations
Relevant suggestions, alternatives, and cross-sell prompts based on real catalog data.
Order tracking
Order-status, delivery estimates, and tracking communication without a separate support ticket.
Returns automation
Policy clarity, return steps, and refund expectation guidance.
Multilingual communication
Reply in the customer language while keeping one operational setup.
Human handoff
Escalate low-confidence or high-risk cases with full context.
Analytics
Track support load, resolution patterns, and operational blind spots.
Integrations
Magento, feeds, APIs, storefront context, and workflow hooks.
Customization
Tone, policies, escalation logic, and business rules shaped around the brand.
AI customer support
Problem: the queue fills with repeat questions. Feature: an always-on agent with approved answers. Benefit: fewer tickets and faster service.
This is the core support automation layer, built for FAQs, policy answers, and common pre-purchase or post-purchase questions.
- Answer shipping, sizing, payment, warranty, and return-policy questions from approved content.
- Keep replies clear, on-brand, and easy to audit.
- Escalate when the question needs human review or higher-confidence handling.
Product recommendations
Problem: support conversations often end without a buying nudge. Feature: catalog-aware recommendations. Benefit: more revenue from existing traffic.
Recommendations should feel relevant and useful, not random. That means connecting the assistant to real product data and business rules.
- Use product titles, descriptions, attributes, categories, FAQs, and availability data.
- Support alternatives, bundles, and accessory suggestions.
- Present results as product cards that customers can act on immediately.
Order tracking and returns
Problem: post-purchase questions generate avoidable service load. Feature: guided self-service for tracking and returns. Benefit: lower support cost and a better customer experience.
The assistant stays valuable after checkout by helping customers understand where the order is and how returns work.
- Resolve common “where is my order?” questions quickly.
- Set delivery expectations clearly and calmly.
- Guide return requests with transparent policy and refund timing language.
Trust and control
The product stays explainable to the people who actually carry the risk.
That includes support leaders, ecommerce managers, finance teams, and legal reviewers.
Human handoff
The team stays in control when confidence is low or the request is sensitive.
Billing clarity
Trials, renewals, cancellations, and charges stay easy to understand before checkout.
Analytics and oversight
Track what the assistant handles well and where operators still need to step in.