What is Yuma AI?
Yuma AI is a customer service AI platform that automates ecommerce support tickets end-to-end for online retailers and direct-to-consumer brands. It handles the full resolution of tickets, not just the reply. That means retrieving order data, verifying store policies, executing actions like refunds or exchanges, and responding in the brand’s voice. Yuma covers the ticket types that make up the bulk of ecommerce support volume: order status inquiries, returns, exchanges, billing issues, subscription changes, and payment failures. It connects to Shopify storefronts and major helpdesks, and ships with a website chat widget, social media response tools, and sales automation agents alongside its core support product.
Features & Benefits
- AI Agents: resolve support tickets from start to finish by reading each message, identifying customer intent, pulling live order data, and responding in your brand voice. Tickets that fall outside defined scope escalate to a human agent with full context attached.
- Ticket Automation Workflows: execute multi-step customer service processes for returns, refunds, subscription changes, and VIP care using keyword or tag triggers. Each workflow follows your exact SOPs and routes back to an AI agent or human when complete.
- Process Builder: build support automation flows with drag-and-drop logic, including 100+ pre-built actions for parcel updates, refund processing, subscription modifications, and CRM notes. Add conditions, delays, or parallel branches without developer involvement.
- Custom Actions: extend built-in workflow steps with custom connections to external systems, spreadsheets, ERPs, and subscription or returns tools via webhook.
- Package Tracker: pull real-time carrier data directly into tickets to resolve order status inquiries without agents accessing separate portals or customers searching for tracking numbers.
- Media Brain: open, compare, and annotate images, videos, or PDFs within a ticket to identify product defects, match SKUs, or extract text from receipts.
- Invoice Maker: generate branded PDF invoices or replacement receipts from order data, apply tax rules, and attach or email the document directly from the ticket.
- Website Chat Widget: deploy an AI-first chat widget on any page of your storefront to answer product questions, shipping inquiries, and policy questions in under a minute.
- Omnichannel Support: unify email, live chat, WhatsApp, SMS, social media DMs, ad comments, and review platforms under one routing layer, with channel-specific brand voice configuration.
- Multilingual Response: detect each customer’s language and respond in kind across 180+ languages, including regional dialects and right-to-left scripts, without additional agent configuration.
- Multi-Store Management: manage multiple Shopify storefronts, brands, or regional stores from one account, with separate data, brand voice, and analytics per property.
- Knowledge Base: connect help center articles, policy documents, FAQs, and external wikis into a unified source layer that keeps AI answers anchored to verified information.
- Fact Snippets: store fixed-format details such as warranty periods, sizing charts, and ingredient lists that the AI inserts verbatim into responses wherever those details are relevant.
- Q&A Library: build a curated FAQ set for top products and common questions that loads into AI prompts and agent macros across every channel.
- Global Search: search across all tickets, chat logs, help center articles, attachments, and CRM notes in one query.
- Brand Voice Controls: set tone, vocabulary, emoji use, and sentence length per channel, with automatic regional spelling adaptation.
- AI Disclosure Controls: configure when and how customers are informed they are interacting with AI, with per-channel toggle settings and A/B testing for trust impact on CSAT.
- Gradual Rollout: start routing a small percentage of live tickets to AI, review responses, and scale incrementally by channel, region, or ticket type before reaching full automation.
- Sandbox Testing: run new automation flows against real historical tickets to preview responses and measure projected outcomes before going live.
- CX Dashboard: view automation rate, escalation volume, intent breakdowns, and response times in one place to identify where AI and human agents each perform best.
- Automation Health Monitoring: track automation rate, confidence scores, and error rates in real time, with alerts when performance dips before customers are affected.
- CSAT Tracking: embed satisfaction surveys at conversation close, track ratings in a live heat map, and correlate scores with specific agent actions or automation flows.
- Insights Advisor: surface weekly trends from ticket data, including rising refund reasons, breakage complaints, and delivery issues by region, with suggested actions.
- Spend Guardrails: set hard caps on refund amounts, coupon values, and loyalty points that the AI cannot exceed, enforced in real time across all automated flows.
- Fraud Detection: flag orders with address mismatches, rapid card attempts, or suspicious IPs, request ID verification when needed, and escalate to a fraud team automatically.
- Response Quality Checks: run each AI-drafted reply through multiple quality control checks across models before it reaches the customer, with automatic escalation for low-confidence or flagged responses.
- Integrations: connect to helpdesks, ecommerce platforms, subscription tools, 3PLs, CRMs, loyalty programs, and shipping carriers via pre-built connectors or open APIs.
What can Yuma AI do?
- Automate ecommerce customer service tickets
- Resolve WISMO inquiries with live tracking data
- Process returns and refunds without agent involvement
- Handle product exchanges for size or color
- Automate subscription changes and cancellations
- Resolve billing issues and payment failures
- Respond to customer messages across email, chat, and social media
- Reply to product reviews and social media comments
- Generate invoices and replacement receipts from order data
- Detect and flag potentially fraudulent orders
- Track customer satisfaction scores by channel and agent
- Manage multiple Shopify stores from one account
- Support customers in over 180 languages
Real-World Applications
A high-volume Shopify brand approaching peak season may turn to the customer service AI to absorb surges in order status and return requests without adding headcount. The platform can handle the full cycle on WISMO tickets, pulling live carrier data and sending the customer a direct update. Return requests can be processed end-to-end, from eligibility checks to label generation, without an agent touching the ticket. Teams that previously handled hundreds of repetitive tickets per day can redirect their time to higher-stakes conversations.
Subscription-based ecommerce operations might find Yuma’s customer service AI particularly useful for managing the ongoing volume of subscription change requests. Cancel, pause, and swap requests can route through automated workflows that connect directly to the subscription management layer. Billing failures and payment issues can trigger resolution steps without waiting in a queue. For brands running multiple product lines or regional storefronts, the multi-store capability lets one team manage separate brand voices and policy sets from a single workspace.
Brands with active social media presences can use Yuma to maintain response coverage across comments, DMs, and review platforms. The same customer service AI layer that handles email tickets can reply to Instagram comments, respond to Trustpilot reviews, and flag suspicious or brand-damaging content for human review. Tone and vocabulary adjust per channel, so a reply to a social comment reads differently from an email response while still reflecting the same brand.
CX managers overseeing outsourced or distributed support teams may find Yuma’s rollout controls and monitoring tools useful for maintaining quality at scale. Automation can start at a small percentage of ticket volume, with each batch reviewed before expanding. Confidence scores, error rates, and escalation trends are visible in real time. Spend guardrails prevent the AI from issuing refunds or coupons beyond approved thresholds, and response quality checks run on every draft before it reaches a customer.
