Purpose-built AI customer service automation for e-commerce that resolves up to 89% of support tickets automatically with pay-per-resolution pricing across multiple channels.
AI customer service for e-commerce that automates support tickets, handles returns/exchanges, and provides 24/7 customer assistance with pay-per-resolution pricing.
Yuma AI is a purpose-built e-commerce customer service automation platform that autonomously resolves up to 89% of support tickets across email, chat, WhatsApp, SMS, and social media using pay-per-resolved-ticket pricing with no upfront commitment. Designed specifically for mid-market to enterprise online retailers running Shopify, WooCommerce, Magento, or BigCommerce stores, Yuma replaces the need to scale human support teams linearly with ticket volume by deploying AI agents pre-trained on common e-commerce scenarios such as order tracking (WISMO), returns and exchanges, subscription management, and billing disputes. Unlike generic AI customer service tools, Yuma executes real actions within connected systems — processing refunds, generating return shipping labels, editing orders, and modifying subscriptions — rather than simply drafting response text for agents to review. The platform requires an existing helpdesk integration (Gorgias, Zendesk, Kustomer, or Re:amaze) and layers on top as an automation engine, reading live product catalogs, order histories, and inventory data to deliver contextually accurate resolutions. Brands like EvryJewels have documented per-ticket cost reductions from $5.50 to $2.00 after deploying Yuma, while maintaining or improving customer satisfaction scores. The pay-per-resolution model means Yuma only charges when its AI fully resolves a ticket without human escalation, aligning the platform's revenue with actual customer outcomes. Channel Mapper technology unifies interactions from all supported channels into consistent automated workflows with a single analytics view, and conversation intelligence assigns confidence scores to each interaction to determine whether to resolve autonomously or escalate to a human agent. Yuma targets brands processing 1,000 or more monthly support tickets where the volume justifies automation investment, and its Multi-Store capability allows multi-brand retailers to manage separate storefronts with isolated data while sharing automation learnings. The platform maintains SOC 2 Type II compliance and uses a minimal data exposure architecture that connects only to helpdesk data rather than requiring full e-commerce platform permissions. Implementation is handled by a dedicated account manager who configures automation rules, typically starting with simple WISMO queries before expanding to more complex resolution scenarios, with most deployments showing measurable ROI within 90 days.
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Yuma's AI is purpose-built for online retail, pre-trained on e-commerce support patterns including WISMO, returns, exchanges, subscription management, and billing disputes. Unlike generic AI platforms that require extensive prompt engineering, Yuma understands e-commerce terminology, workflows, and customer expectations out of the box, reading live product catalogs, order histories, and inventory data to deliver contextually accurate responses and resolutions without manual training or fine-tuning per merchant.
The platform charges only for tickets that the AI fully resolves without human escalation, directly aligning cost with performance. This eliminates upfront investment risk and makes ROI measurement straightforward — brands like EvryJewels have documented reductions from $5.50 to $2.00 per ticket. The model incentivizes Yuma to continuously improve resolution quality since their revenue depends on successful outcomes, creating a virtuous cycle where better AI performance benefits both Yuma and the customer.
Yuma goes beyond generating response text to execute complete resolutions within connected systems. The AI can process refunds, generate return shipping labels, update order details, modify subscriptions, and adjust inventory through deep integrations with e-commerce platforms and 3PLs like ShipBob. This eliminates the need for human agents to handle the mechanical steps of routine resolutions.
Channel Mapper technology consolidates customer interactions from email, live chat, WhatsApp, SMS, social media, and review platforms into unified automated workflows. The system maintains consistent brand voice and resolution quality regardless of which channel the customer uses, while providing a single analytics view across all touchpoints. This eliminates the need to configure and maintain separate automation pipelines per channel, reducing operational complexity for support teams managing omnichannel e-commerce operations.
Advanced NLP analyzes each interaction for sentiment, urgency, and complexity in real time, assigning confidence scores to determine whether the AI should resolve autonomously or escalate to a human agent. This ensures that emotionally charged, high-value, or ambiguous cases receive human attention while routine inquiries are handled at machine speed. The system continuously learns from escalation patterns to improve its confidence thresholds, progressively automating a larger share of tickets as it gains experience with a brand's specific customer base and product catalog.
$1.00–$2.00 per resolved ticket
Custom pricing
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