Yuma AI

What is Yuma AI?

Yuma AI automates ecommerce support and moderation for Facebook and Instagram comments, with intent/sentiment classification, brand-voice replies, and DM handoff. It monitors, classifies, and takes actions such as replying, hiding content, escalating sensitive items, and moving support conversations to DMs.

The core purpose is to help ecommerce teams handle high volumes of social interactions in real time while keeping responses consistent with brand voice and operational rules.

Key Features

• Real-time comment monitoring and classification: Automatically identifies intent and sentiment for social interactions so support workflows can be triggered appropriately.
• Rule-based automated replies: Configure what the AI does based on platform, interaction type, sentiment, and intent (for example, thank-you replies for positive comments or helpful answers for support requests).
• Omnichannel engagement view: Consolidates interactions into a single feed, showing the original post, the customer’s comment, the customer profile, the detected intent/sentiment label, and any action taken by the AI.
• Moderation tools (Spam Shield, Auto Hide, Negative Content Management): Flag or hide spam, phishing links, and bot comments; define handling for misleading or negative content (hidden, escalated, or logged for review).
• DM handoff workflow (“Move to DM”): Posts a brief public reply that invites the user to DM when private information is needed, then shifts the conversation to a private channel.
• Brand voice controls via Agent Persona: Set a persona description, choose a tone, adjust response verbosity, and add custom guidelines so replies match the brand’s voice.
• Safety Guard for quality checks: Runs AI-generated replies through multiple quality checks before posting to reduce issues like hallucinations, policy violations, or tone drift.
• Hard limits and safety guardrails: Define blocked topics, restricted actions, or escalation triggers to constrain what the AI can do.
• Social Insights and Automation Health: Track sentiment and engagement trends and surface recommendations based on mined interaction data; monitor automation performance and health (the page references “Automation Health” and “Social Metrics”).

How to Use Yuma AI

1. Connect your social presence: Connect your Facebook and Instagram pages to Social AI.
2. Set automation rules: Define what should happen for each interaction type using criteria such as sentiment and intent. Rules are scoped by platform and interaction type.
3. Configure the AI persona: Provide persona guidelines, select a tone, and adjust verbosity so responses match your brand voice.
4. Enable moderation controls: Use Spam Shield and set how negative, misleading, or borderline content should be handled (hidden, escalated, or logged).
5. Run with safety constraints: Configure hard limits and rely on the Safety Guard quality checks for AI-generated replies.
6. Review outcomes in the Engagement View: Use the omnichannel feed to inspect intent classification, actions taken, and sentiment labels; adjust rules based on what you see.

Use Cases

• Automated ecommerce support for comment volume: When Instagram or Facebook comments include ecommerce customer service requests, Social AI classifies intent and responds without requiring manual scrolling and triage.
• Public engagement management with positive replies: For positive comments, Social AI can automatically post an on-brand thank-you message to reinforce positive interactions.
• Spam and bot prevention in feeds: Spam, phishing links, and bot comments can be flagged or hidden automatically so the team spends less time cleaning up low-value interactions.
• Handling sensitive or private-account issues: For situations where order details or account information are needed, Social AI replies publicly to invite the user to DM and then moves the conversation to a private channel.
• Brand protection for negative or misleading content: Negative or misleading comments can be flagged and managed via rules—hidden, escalated, or logged—while maintaining a consistent, controlled response strategy.

FAQ

Which platforms does Social AI support for automated handling?

The page explicitly mentions Facebook and Instagram for monitoring, classification, and automation of comment responses.

Can replies be customized to match our brand voice?

Yes. You can configure an Agent Persona by setting persona description, tone, verbosity, and custom guidelines.

How does Social AI decide what action to take?

Actions are determined by rule scope and signals such as platform, interaction type, sentiment, and intent.

What happens with spam or harmful content?

Spam Shield is designed to flag or hide spam, phishing links, and bot comments. For borderline negative content, Auto Hide can tuck it out of public view while logging it for review.

Does the system post responses without checks?

No. The page states that every AI-generated reply goes through multiple quality checks via Safety Guard before posting.

Alternatives

• Rules-based social inbox tools: These can automate routing and canned responses using deterministic rules, but typically lack intent/sentiment classification and AI persona guidance.
• Social media management platforms with moderation features: Often provide comment moderation and unified inboxes, but may not offer the same level of automated, context-aware customer support actions.
• General-purpose customer support chat automation: Focuses on messaging and ticketing workflows; unlike Social AI, it may not cover ecommerce-specific comment moderation and public-to-DM handoff in the same way.
• AI moderation and analytics platforms: Can help classify sentiment and manage moderation, but may require more manual workflow design to achieve fully automated replies and DM conversion flows.