Hoory

Hoory AI is a conversational AI platform designed to automate customer support functions. It is a fully-featured artificial assistant that carries out various tasks including understanding user intent, handling high-volume queries, and ensuring quick resolutions. Hoory AI provides several features like an Omni-Channel Inbox for unifying user interactions, Workflow Management for defining rules and execution of automated tasks, and Macros for designing and executing personalized action sequences.

Hoory AI understands and interprets user intent through a combination of rule-based and knowledge-based AI capabilities. The rule-based AI assistant follows a structured approach, using dynamic flow charts to guide user interactions. The knowledge-based AI assistant utilizes Language Model (LLM) technology to provide sharp, context-savvy responses to user queries. Both methods are geared towards understanding the underlying intent of user queries and facilitating effective, precise interactions.

Handling high-volume queries quickly is one of the primary features of Hoory AI. It accomplishes this task by leveraging its AI assistant superpowers. Hoory AI also uses GPT (Generative Pre-trained Transformer) for handling customer queries, ensuring quick resolutions. It is highly scalable and is specifically designed to work at high efficiency, even under significant demand.

The Omni-Channel Inbox feature in Hoory AI allows businesses to centralize user interactions from multiple channels into a single, unified inbox. The primary goal is to increase customer reach and streamline communication processes. This centralization helps support agents respond effectively to customer queries from multiple sources in a unified manner, thus facilitating efficient customer support.

The Workflow Management feature in Hoory AI allows support teams to define rules and execute automated tasks aimed at improving workflow efficiency. It helps in streamlining repetitive tasks, saving time and reducing the risk of errors. This feature aids in swift resolution and aids in managing customer queries across various channels.

Macros in Hoory AI enable the design and execution of personalized action sequences. These sequences are executed with a single click, allowing support agents to automate certain actions and thus handle customer queries more efficiently. Macros can help save time, automate recurring tasks, and improve the overall response rate to customer inquiries.

Hoory AI's communication features facilitate agent collaboration through the use of canned responses, private notes, and mentions. These tools promote private collaboration among support agents and enhance team coordination. The combined use of these features aids in joint tackling of support challenges and enables teams to work more efficiently while dealing with support tasks or customer queries.

The 'Embed Widget' feature in Hoory AI provides the functionality to create pre-chat forms, customize widgets, and add collaborators. It offers customization capabilities that enable businesses to mould the look and feel of the communication tools to align with their own branding. More importantly, it gives the opportunity to collect preliminary information from customers before the actual interaction begins, facilitating targeted and effective communication.

Hoory AI's Team feature assists in collaboratively tackling support challenges. It allows tracking of team activity, aids in eliminating manual workloads, and enhances team performance. By using the Team feature, support agents can work together to solve customer queries, thereby improving the team's overall efficiency and productivity.

The knowledge-based training aspect of Hoory AI works by using Language Model (LLM) technology. This technology allows the AI assistant to provide sharp, context-savvy responses to user queries. The better the knowledge base, the better will be the AI assistant's ability to understand and respond aptly to the user's queries. This feature helps in training the AI assistant efficiently and improving the customer support experience.