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The person-centered customer service platform that treats customers like people, not tickets.

The omnichannel customer service CRM built for proactive, AI-driven automation and unified customer intelligence.

Kustomer is an advanced CRM platform specifically architected for modern customer service teams. Unlike legacy ticket-based systems, Kustomer utilizes a timeline-driven architecture that aggregates data from every touchpoint into a single view. By 2026, its position is solidified through KIQ (Kustomer IQ), a multi-layered AI suite that handles everything from intent detection to fully autonomous resolution via Generative AI. Its technical foundation rests on 'Klasses'—highly customizable data objects that allow businesses to model complex customer relationships and internal workflows without code. The platform's pivot toward an AI-first strategy allows it to handle massive volume by leveraging sentiment analysis and predictive routing, ensuring that human agents focus on high-value interactions. Its recent independence from Meta has accelerated its integration roadmap, now offering deep native connections with Shopify, Slack, and various social channels. The architecture is built for high-scale enterprise environments requiring SOC2 compliance and granular role-based access control, positioning it as a top-tier competitor to Zendesk and Salesforce Service Cloud in the high-growth mid-market and enterprise sectors.
Kustomer is an advanced CRM platform specifically architected for modern customer service teams.
Explore all tools that specialize in manage customer relationships. This domain focus ensures Kustomer delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze customer sentiment. This domain focus ensures Kustomer delivers optimized results for this specific requirement.
Explore all tools that specialize in sentiment-based routing. This domain focus ensures Kustomer delivers optimized results for this specific requirement.
Uses LLMs to suggest real-time responses and summarize long conversation threads for agents.
Relational data objects that allow the storage of external data like 'Warranty' or 'Subscription' directly on the customer timeline.
A conditional logic engine that triggers actions based on event data, such as shifting a ticket's priority if sentiment is negative.
Embeds live data from external APIs (like UPS or Shopify) directly into the agent interface.
A unified stream of events where SMS, Email, and Chat appear in a single chronological thread.
NLP processing of incoming text to score customer mood from 1-100.
Dynamic grouping of customers based on shared attributes for targeted proactive outreach.
Domain verification and email forwarding configuration.
Omnichannel setup (connecting WhatsApp, Instagram, SMS, and Chat via API).
Data schema modeling using Klasses to define custom objects (e.g., Orders, Flights).
User and Role creation with granular permissioning.
KIQ (AI) Training - feeding historical ticket data for intent recognition.
Workflow Builder configuration for automated routing and tagging.
Integration of 3rd party apps (Shopify, Segment, or Slack) through the App Directory.
Designing Chat SDK deployments for web and mobile apps.
Setting up SLA (Service Level Agreement) policies and escalation paths.
Production launch and real-time dashboard monitoring.
All Set
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Verified feedback from other users.
"Users praise the unified timeline and data modeling capabilities but frequently note a steep learning curve for the workflow builder and high pricing for small teams."
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