Yuma is an AI tool that automates customer support workflows, sales engagement, and social media interactions for digital businesses. The platform helps customer service teams manage repetitive support inquiries by executing ticket resolution processes end-to-end according to company standard operating procedures. In addition to customer support handling, Yuma monitors visitor behavior in real time to infer shopping intent and trigger automated cart-recovery messages when shoppers show signs of exiting. The software also evaluates public social media comments to detect user intent, filter spam content, and transition public customer inquiries into private direct messages. Key capabilities include unified channel mapping technology, native artificial intelligence chat, and automated safety policy checks to ensure reliable communications. Yuma is designed primarily for e-commerce merchants, customer experience managers, and business process outsourcing service providers seeking to resolve support backlogs, maintain social brand reputation, and engage prospective buyers without adding manual overhead.
Problem: Support teams are overwhelmed by high volumes of common repetitive inquiries like order status updates.
Solution: Support AI Agents and CX Auto-Pilots handle ticket resolutions end-to-end by following strict company SOPs.
Example: An e-commerce brand automates 70% of 'Where is my order?' tickets, reducing resolution time to minutes.
Problem: Potential customers frequently add items to their carts but exit the site without completing the purchase.
Solution: Sales AI uses Behavior Insights to infer intent and triggers timely 'Cart Saver' nudges to engage shoppers.
Example: A jewelry retailer recovers abandoned sales by offering timely product insights when shoppers show exit intent.
Problem: Brands receive a high volume of social comments, including spam, rants, and misleading claims that go unaddressed.
Solution: Social AI detects comment intent, filters spam, and uses 'Private Shift' to turn public inquiries into DMs.
Example: A beauty brand uses Spam Shield to keep feeds clean while automatically amplifying positive follower feedback.
Target audience: Best for: E-commerce merchants, CX managers, BPO service providers
Pricing: Unknown · Categories: Customer Support, Suggested Tools
Tags: Customer Support, human resources, research, startup tools
Yuma is an artificial intelligence platform designed to automate customer support resolutions, sales recovery, and social media interactions. It enables organizations to resolve customer inquiries according to strict operating procedures, assess on-site shopper behavior to recover abandoned carts, and moderate social media comments.
Yuma is primarily built for e-commerce merchants, customer experience managers, and business process outsourcing service providers. These teams utilize the platform to handle repetitive support requests, streamline communications across multiple channels, protect social feeds from spam, and engage active shoppers during critical purchasing moments.
Yuma automates ticket resolution by deploying artificial intelligence agents and auto-pilots that adhere to defined company standard operating procedures. The system handles common, repetitive inquiries like order status updates directly, resolving tickets end-to-end to lower response times and reduce the operational load on human agents.
Yuma uses real-time behavioral insights to infer customer intent as users navigate an online store. When the software detects exit intent or hesitations while items remain in a cart, it triggers automated prompts and product information designed to re-engage the shopper and assist them in completing the purchase.
Yuma analyzes public comments on social media to identify user intent and spot spam or negative feedback. It uses filtering tools to keep brand feeds clean, amplifies constructive interactions, and routes complex inquiries or sensitive complaints from public posts into private direct messages for resolution.