Yuma covers 25+ support channels: email, live chat, SMS, WhatsApp, contact forms, Instagram DMs, Instagram comments (including ad comments), Facebook Messenger, Facebook comments, Twitter/X DMs, TikTok Shop, and review platforms (Trustpilot, Yotpo, Okendo, Judge.me, Avis Vérifiés). Each channel runs on the same core AI with the same accuracy, but you can configure different brand voices per channel (e.g. shorter on chat, more detailed on email). Yuma also offers a native Chat AI widget for your website and Social AI for automating social media customer support.
Put Ecommerce Social Media Customer Support on Autopilot
Scale DM Responses
AI that monitors, classifies, and acts on every Facebook and Instagram comment; automating your ecommerce customer support so your team stops manually scrolling through hundreds of interactions.


Why teams choose Social AI
Automate Your Social Media Customer Support with AI that Understands Context and Intent.
Handle ecommerce customer service requests on social channels
Classify every comment by intent and sentiment in real time
Maintain your brand voice with configurable AI persona
Free up your team from repetitive social media customer support
Track sentiment and engagement trends with real analytics
Use cases
Social AI use cases for comments, DMs, reviews, and brand protection
Explore how Yuma handles comment moderation, review replies, social listening, and DM conversion flows while keeping every response on-brand.
Features
Tools to automate your social media customer moderation
Connect your Facebook and Instagram pages, define your automation rules, and let the AI handle execution.
Book a demo
Stop leaving social media customer support unanswered. Start automating.
Yuma plugs into your current helpdesk, storefront, and data sources so your team can automate faster without rebuilding the rest of the stack.

Frequently Asked Questions
Which channels do Yuma AI support?
What languages do Yuma AI support?
Yuma supports 180+ languages. It auto-detects each customer's language and responds in that language, including regional dialects and right-to-left scripts. Your brand voice and policies stay consistent regardless of the language. So a French customer gets the same quality and accuracy as an English one. This means you can support international customers without hiring multilingual agents, which is especially useful during seasonal spikes when finding language-specific temporary coverage is nearly impossible.
Can you automate social media with Yuma AI?
Yes. Yuma's Social AI connects to your Facebook and Instagram pages in one click, classifies every comment by intent and sentiment in real time, and takes action based on rules you define: reply, like, flag, or skip. You configure the agent's tone, verbosity, and brand guidelines so replies sound like your team wrote them. A dashboard tracks automation coverage, sentiment distribution, negative exposure rate, and unanswered rate across both platforms.
What social platforms does Social AI cover?
Social AI handles Instagram DMs, Facebook Messenger, Instagram comments (including ad comments and mentions), and Facebook comments. The AI adapts its tone and format to each channel automatically.
Can Social AI turn public comments into private sales conversations?
Yes. When someone comments on a post or ad with purchase intent — "Is this available in my size?" or "How much?" — Social AI can respond publicly and simultaneously open a private DM to continue the conversation, qualify the lead, and drive the sale without cluttering your comment section.
How does Social AI handle different tones for public vs. private messages?
Social AI uses channel-aware brand voices. A public Instagram comment reply is concise and on-brand. A follow-up DM is warmer and more detailed. An email response is more formal. You configure each voice separately, and the AI applies the right one based on the channel.
Can I manage multiple brands or stores from one account?
Yes. One Yuma account can manage multiple stores or brands from a single helpdesk. Yuma automatically routes each conversation to the right store, applies the correct policies, and pulls the right order data. Everything works seamlessly even when all your stores share the same support inbox.
Why e-commerce leaders love their Yuma experience
Learn how Yuma drives revenue, satisfaction & savings for top brands







Auto Reply
Define what happens for each type of social interaction. A positive comment gets a thank-you reply. A customer support request gets a helpful answer. Each rule is scoped by platform, interaction type, sentiment, and intent; so every customer service response matches the context.
Spam Shield
Spam, phishing links, and bot comments get flagged or hidden automatically. Spam Shield keeps your feed focused on real ecommerce customer support interactions; so your team isn't wasting time on manual cleanup.
Positive Reviews
Automatically thank customers who leave positive comments on your posts; reinforcing loyalty and encouraging future engagement.
Positive Engagement
When Social AI detects a positive comment, it can automatically reply with an on-brand thank-you that reinforces the positive interaction. This automated customer service helps amplify your brand reputation publicly.
Negative Content Management
Negative or misleading comments get flagged immediately; reducing negative exposure and protecting your brand reputation. Define rules for what gets hidden, escalated, or reviewed, so your ecommerce support team handles sensitive content on your terms.
Auto Hide
For comments that aren’t outright spam but still detract-duplicate promos, vague negativity, or spoilers-Smart Hide tucks them out of public view while logging them for later review. Genuine users see a tidy thread; you stay informed and in control without needless confrontation.
Move to DM
When a comment requires a private conversation - like order details or account issues; Social AI posts a brief public reply inviting the user to DM, then moves the customer support conversation to a private channel.
Agent Persona
Set the persona description, pick a tone (e.g., empathetic), adjust verbosity (e.g., balanced), and add custom guidelines. The result is replies that match your brand's voice consistently.