Yuma AI
AI customer service agents built specifically for e-commerce brands on Shopify and major helpdesks.
Independent overview by new Mantra · updated July 15, 2026
- Category
- Customer Service
- Pricing
- Annual plans: Starter $14,400/yr (~12,000 AI resolutions), Growth $40,000/yr, Scale $90,000/yr; custom above 120K resolutions/yr; first 30 days free
- Implementation
- 1-2 weeks
- Adoption risk
- Low
- Integrates with
- Shopify, Gorgias, Zendesk, Kustomer, Salesforce Service Cloud, Recharge, Loop Returns, Klaviyo, ShipStation, Re:amaze
What Yuma AI does
Yuma AI is a customer service automation platform built for e-commerce teams. It connects to your existing helpdesk — Gorgias, Zendesk, Kustomer, Salesforce Service Cloud, or Re:amaze — and to Shopify, then handles support tickets from start to finish without requiring a human agent to step in. It takes real actions in connected systems (processing returns, updating orders, managing subscriptions) rather than simply drafting a reply for someone to approve.
The platform is organized into four specialized agents: Support AI handles post-purchase tickets like order status, returns, refunds, and cancellations; Sales AI answers pre-purchase product questions on your site; Social AI monitors and responds to Facebook and Instagram messages; and Chat AI covers live chat. An underlying improvement layer called Ask Yuma reads tickets your human agents handle and surfaces patterns so automations can be refined over time.
Setup is described as taking hours rather than weeks, with no engineering work required. A dedicated account manager from Yuma handles configuration, connects the integrations, and writes the initial automation processes — included at no extra cost. A trial starts at low ticket volume so you can review quality before scaling.
Key capabilities
End-to-end ticket resolution
AI agents take real actions across Shopify and connected solutions — processing returns, editing addresses, updating subscriptions — rather than generating draft replies. Tickets that exceed confidence thresholds are escalated to a human with full context.
Built-in quality controls
Every response passes through multiple internal checks (policy verification, intent matching, response validation) before reaching the customer. If any check flags uncertainty, the ticket goes to a human agent instead of being sent.
Pre-purchase sales support
A product-page Q&A widget answers sizing, compatibility, and ingredient questions in real time, in your brand voice, to help shoppers make informed decisions before they contact support.
Social channel moderation
Social AI monitors Facebook and Instagram, auto-replies to routine questions, hides spam, and flags signals worth human attention — automating a portion of what is otherwise a manual moderation queue.
Performance-based pricing
You pay only for tickets the AI fully resolves, not for every ticket it touches or every seat on the platform. A 30-day trial is available before any commitment.
Broad helpdesk and solution integrations
Yuma connects out of the box with Shopify, Gorgias, Zendesk, Kustomer, Salesforce Service Cloud, Recharge, Loop Returns, Klaviyo, ShipStation, and Re:amaze, among others, with no migration of your existing stack required.
Best for
- E-commerce brands running on Shopify whose support queues are dominated by repeatable ticket types: order status, returns, refunds, subscription changes, and cancellations.
- Teams already using a supported helpdesk (Gorgias, Zendesk, Kustomer, Salesforce Service Cloud, Re:amaze) who want to add automation without replacing their current setup.
- Growing brands that need to handle increasing ticket volume without proportional headcount growth.
- CX managers who want automation with guardrails — where uncertain tickets escalate to humans rather than risk a bad response being sent.
- Businesses that want to trial before committing, with vendor-managed setup included in the trial at no extra cost.
Worth knowing
- Yuma is purpose-built for e-commerce; businesses outside retail or without a Shopify or supported-helpdesk setup may find integrations limited or the platform a poor fit.
- Performance-based billing means costs scale with resolved ticket volume. Brands with very high ticket volumes should model this carefully against their current cost per ticket before assuming savings.
- Although setup requires no engineering, getting accurate automations still involves time spent on prompts, brand-voice configuration, and reviewing early output — some users note that thoughtful setup effort pays off later.
- The four agents (Support, Sales, Social, Chat) are separate products; if you only need one function, confirm whether the pricing and packaging suit a partial deployment.
- Automation rates vary by brand and ticket mix. Published figures reflect top-performing customers; your actual rate will depend on how predictable and structured your ticket types are.
Related solutions
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