The difference between a shared inbox and shopper intelligence
Re:amaze helps teams manage customer communication. REP AI gives brands a commerce-focused AI agent that can recommend products, overcome hesitation, automate support, and surface growth insights.
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REP AI vs. Re:amaze: The quick answer
REP AI’s Proven Impact
5x ROI
20% CVR
16% AOV
What is REP
REP AI is an AI commerce platform for ecommerce brands that combines an AI sales agent, AI support agent, AI helpdesk, and shopper intelligence layer.
Ecommerce brands need a platform built for them. Shopper conversations aren’t only support issues, they’re buying signals. REP AI understands ecommerce context, product discovery, buying hesitation, cart momentum, post-purchase support, and revenue-driving conversations.
Many visitors leave because they can’t find the right product, have unanswered questions, or become overwhelmed with options. REP AI identifies those moments and starts conversations to engage shoppers before they become tickets, abandoned carts, or lost sales.
REP AI treats customer interactions as buying opportunities. When customers ask questions, REP AI will answer first, then follow up with helpful suggestions like product comparisons, bundles, cross-sells, and other recommendations.
Support conversations contain valuable information. Customer reveal why they hesitate, the information they feel is missing, competitors they’re looking at, and more. REP AI transforms this data into structured business intelligence that’s shared across all teams.
Richpanel is built around customer service operations. REP AI is built around the full ecommerce customer journey, providing support shoppers before purchase, resolving issues after purchase, and turning those conversations into insights your team can use.
A sale is attributed to REP AI only when the AI helped during the shopping session, such as recommending a product or answering a question. If the shopper only clicked the chat icon, got a greeting, asked for a human, or received an unhelpful answer, REP filters that sale out.
Don't take our word for it.
"We saw a 13% conversion rate with Rep last month. The outcomes were truly remarkable, with an astonishing 97% of customer requests being successfully handled by their AI."
“This is a game-changer and has reduced our customer service tickets by a huge amount. Worth it and great support!”
“Rep is a fantastic service at it's base. A personalized AI driven helper, smoothing. out kinks in CX and guiding customers to the products they want to buy while maximizing AOV.”
“These guys are amazing. Incredible investment for my business. I’m solving a lot more problems for customers with a lot less effort. And it gets better and better over time. Zero regrets and great team making sure I get the best results.”
REP AI vs. Re:amaze pricing and setup
What business outcome are you paying for?
Which is better for your use case?
Choose REP AI if you want to…
Proactively engage shoppers before they leave
Recommend products using Shopify catalog data and shopper intent
Replace static quizzes or passive site search with conversational product discovery
Automate support requests while also improving conversion and retention
Keep sales, support, and shopper intelligence in one AI commerce system
Turn customer questions into marketing, merchandising, and CRO insights
Launch an ecommerce-specific AI agent without implementing a broad enterprise service platform
Run a more efficient, more profitable ecommerce business
Live in days, not months
Got questions?
Rep AI is positioned around shopper intelligence that helps teams understand objections, buying intent, confusion, and conversion blockers. Re:amaze is more of a customer communication platform with reporting, support analytics, and inbox-style visibility.
Re:amaze is the better fit for teams that want an affordable live chat, shared inbox, and helpdesk-style setup. Rep AI makes more sense for brands that want conversational AI to actively guide shoppers, recommend products, and influence revenue outcomes across the customer journey.
Rep AI offers a usage-based entry point at $10 per 3,000 sessions, with higher plans using fixed monthly or annual pricing that include traffic limits. Annual billing reduces the effective monthly rate. Re:amaze publishes per-team-member pricing, with Basic at $29/user/month, Pro at $49/user/month, and Plus at $69/user/month, plus annual discounts and a 14-day free trial. In practice, Rep AI prices more like an ecommerce traffic and AI-usage platform, while Re:amaze prices more like a traditional helpdesk/shared-inbox tool sold per seat.
If you already have a shared inbox, Re:amaze mainly helps you run that inbox better with live chat, helpdesk workflows, and team collaboration. Rep AI makes more sense when you want AI to sit on top of your existing support motion and turn conversations into revenue through product discovery, proactive shopper engagement, support automation, and conversion insights.
Rep AI makes more sense when a Shopify brand wants AI to do more than manage inbound conversations. It is built around Shopify-native catalog context, proactive shopper engagement, product recommendations, support automation, and shopper intelligence tied to revenue outcomes.