Re:amaze
Your support team has built response templates and tagged thousands of conversations in Re:amaze. Now your AI agent accesses those same resources, using canned responses and tag analytics to deliver consistent, on-brand answers. Multi-channel support that scales without losing your team's voice.
Your AI agent leverages the response templates and conversation analytics your team has already built in Re:amaze, turning tribal knowledge into scalable automated support.
Re:amaze
See how eCommerce teams use Re:amaze data to power AI conversations that sound like their best support agents across email, chat, and social.
A customer on live chat asks about your return policy. Your AI Agent searches Re:amaze response templates for the matching canned response, finds the approved return policy language, and delivers it verbatim. The customer gets the same polished answer your best agent would give. Your team saves the time of typing it out for the thousandth time, and brand consistency stays intact across every channel.
Your support manager notices ticket volume spiking. Your AI Agent pulls tag reports from Re:amaze and identifies that 'shipping-delay' tags increased 300% this week. It presents this insight proactively, helping the team draft a preemptive shipping status update. Meanwhile, the agent starts addressing shipping delay questions using the relevant response template. The spike is managed before it overwhelms the queue.
You operate three eCommerce brands through one Re:amaze account. A customer contacts Brand B's chat asking about warranty terms. Your AI Agent fetches response templates scoped to Brand B's identifier, ensuring the warranty language matches that specific brand's policies. Even though all three brands share the same support infrastructure, the customer receives the correct, brand-specific answer without any cross-contamination.
Re:amaze
FAQs
The agent retrieves your full library of canned responses from Re:amaze's API, filtered by brand. When a customer asks a question that matches a template topic, the agent uses that approved response as the basis for its answer. This ensures consistency with the language your team has already perfected.
Yes. The agent accesses Re:amaze's tag reports endpoint, which provides metrics on tag usage across conversations. It can surface which issue categories are most frequent, track changes over time, and identify emerging trends that may require new templates or process changes.
Tars requires your Re:amaze brand subdomain and HTTP Basic Auth credentials, which combine your login email and API token. The API token can be generated from your Re:amaze account settings. This provides authenticated access to response templates and reporting data.
No. Tars queries Re:amaze in real time during conversations. Response templates and tag reports are fetched live and used only for the current session. No conversation history, customer PII, or support ticket data is stored by Tars.
Yes. Re:amaze's API scopes response templates by brand identifier. You can configure separate tool connections for each brand, ensuring the agent retrieves the correct templates and tag data for whichever brand the customer is interacting with.
Re:amaze's native chatbot handles basic FAQ matching within its own widget. Tars extends this by creating a full conversational AI agent that works across your website, WhatsApp, SMS, and more. It can combine Re:amaze data with other tools like Shopify, Stripe, or your CRM for richer, multi-system responses.
The agent falls back to its trained knowledge base and general AI capabilities. It can still answer using the information you provided during agent setup. For truly novel issues, it gracefully hands off to a human agent with full conversation context, so the customer does not have to repeat themselves.
Yes. By cross-referencing tag report data with available templates, the agent can identify frequently tagged issue types that lack a corresponding canned response. This helps your team prioritize creating new templates for the most common unanswered question categories.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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