Struggling to choose between GLPI and Engati? Both products offer unique advantages, making it a tough decision.
GLPI is a Network & Admin solution with tags like asset-management, help-desk, it-inventory, license-management, open-source.
It boasts features such as Asset management, Help desk & ticketing, License management, Financial management, CMDB, Reporting & dashboards and pros including Open source & free, Easy to use web interface, Modular & extensible via plugins, Multi-lingual support, API for integration, Active community support.
On the other hand, Engati is a Ai Tools & Services product tagged with chatbot, virtual-assistant, conversational-ai, nlp, automation, customer-service, customer-support.
Its standout features include Drag-and-drop visual bot builder, Built-in NLP for intent recognition and entity extraction, Integrations with messaging channels like WhatsApp, Telegram, Facebook Messenger, Knowledge base and FAQ management, Analytics and reporting, Live chat handover to human agents, and it shines with pros like Intuitive visual interface, Good NLP capabilities out of the box, Lots of integrations and channels supported, Scalable to enterprise needs.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
GLPI is an open source IT asset management and help desk software. It allows organizations to inventory their IT hardware and software assets, track support tickets, manage licenses and IT budgets, and more. GLPI has a web interface for users and includes features like alerts, dashboards, and reporting.
Engati is an AI-powered conversational automation platform that allows you to build chatbots and virtual assistants for customer service, support, sales, and other business uses. It provides a drag-and-drop visual bot builder to easily create flows, integrates with popular messaging channels, and has built-in NLP capabilities.