Hiver Features

Allows software to be easily used on multiple mobile devices include phone and tablet devices.

Allows users to customize chat colors, text, logos, and branding.

Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.

Integrates with other customer service software to improve support and enhance functionality

Provides analytics tools that reveal important business metrics and track progress

Displays important metrics relating to performance

Provide tools for live chat on one's website.

Allows easy integrations with applications, such as messenger applications, APIs, and customer support tools.

Has the ability to customize look and feel of chatbot to match` company branding.

Gives user the ability to analyze conversations with the chatbot and see its performance.

Allows users to test the efficacy of various responses through A/B testing.

Allows for varying access to chatbot and admin settings, depending on user, their role, etc.

Can collect and store information from interlocators, such as email, phone number, etc.

User Experience of creating and submitting a ticket

User Experience of responding and receiving a response

Route tickets based on values of fields, changes to ticket status and time based conditions

Respond to common requests with standard reply

Offers tools for managing and tracking service-level agreements (SLAs)

Documents and files can be attached to the ticket to communicate with customer issues/resolutions

Share and collaborate on tickets with multiple customer service representatives

Central repository for account and contact information

Allows fully customizable portal for customer to enter tickets, provide feedback and communicate with service agents

Ability for customer service agents to communicate via email and email conversations are automatically tracked in ticket

Ability for customer service agents to communicate with customers via live chat to solve problems live

Integration to social networks such as Twitter and Facebook to allow customers and agents to communicate via social networks

Make and receive calls directly in the application. Track and record calls for analysis.

Provides a repository of information that can be used by those seeking support.

Makes articles in the knowledge base searchable on the web.

Enables users to engage with other users to solve common issues.

Optimizes the customer self-service experience on mobile devices

Gives the user targeted, personalized results based on their activity or preferences

Allows users to add custom branding (logos, brand colors, etc.) to self-service portals, chatbots, etc.

Automates some or all operation related tasks

Utilizes artificial intelligence to improve workflows or customer experiences

Allows easy integrations with applications, such as messenger applications, APIs, and customer support tools

Enables a popup chat window on company websites to encourage interaction between website visitors and designated company representatives.

Delivers notifications to both sides of the conversation.

Sends automated emails to further engage clients and potential clients.

Allows for live chat to be enabled within the app for customer help.

Allows agents to join a customer's browser session and navigate through the website with them.

Allows users to customize chat colors, text, logos, and branding.

Archives conversations in a separate location for later reference.

Enables employees to denote potential customers.

Establishes a knowledge base for employee reference during conversations.

Provides a central location for help requests, helping employees respond sooner.

Allows for the creation of profiles for contacts and customers.

Scours various channels for brand mentions to proactively seek reparative communications.

Creates and assigns support tickets, scheduling them in a timely manner.

Allows administrators to create templated responses to frequently asked questions.

Ability to connect agents with customers through Live Chat.

Connects employees with customers through a social media solution.

Ability to connect agents with customers through email.

Connects employees with customers through a calling solution.

Ability to connect agents with customers through text message solution.

Software incorporates multiple digital communications channels.

Allows incorporation of inbound contacts from non-marketing channels.

Includes physical media (mail, flyers, billboards, etc.) in the channels mix.

Provides opportunity for customers to give feedback through a survey.

Enables administrators to create customized reports reflecting customer satisfaction.

Allows administrators to track visitor activity to understand the research that was done before turning to customer service.

Provides a knowledge base or other support channel for disparate team members to work together and provide cohesive solutions.

Allows planning and deployment of an overall communications strategy.

Includes or integrates with content creation apps.

Outbound communications are segmented and personalized.

Inbound contacts are identified and handled based on history.

Software verifies compliance with GDPR, CAN-SPAM, and other legal requirements.

Permits use by job roles outside of service department

Allows linking of useful information such as screen shots

Provides direct contact between CSRs and customers outside of milestones

Informs stakeholders of activity on escalated or high-value cases

Evaluates frequency of types of complaints

Includes a dashboard or other means of performance monitoring

Allows users to leave notes or comments on emails or relevant cases.

Provides a dedicated space or a thread feature that allows for long-form discussion.

Offer in-application assignment and task tracking functionality.

Allows users to create and follow predetermined workflows attached to actions.

Allows users to create canned answers or templates for email responses.

Integrates without outside software to provide additional functionality or pull information.

Provides a tagging system to allow users to sort emails by relevant subject.

Analyzes trends in email content and resolution.

Tracks performance and productivity of users inside the application.

Tracks email analytics like emails opened, how long the email was opened for, etc.

Customize your chat workflows with rules and automations.

Control who the chatbot converses with (and when).

Has the ability to connect interlocator with a human agent when the need arises.

Can provide interlocators with menus, through which they can choose a relevant response.

Can send triggered sequence of automated messages sent on a predefined schedule in a targeted fashion.

Identifies the customer and personalizes interaction at every touchpoint.

Allows multiple related channels to interact at once to reduce transfers.

Prompts agents to engage customers based on contextual data, such as product usage or conversation history.

Provides features for sending outbound messages to engage customers through proactive support.

Can route contacts to agents the customer has worked with before.

Provides features for escalating conversations to the appropriate agent.

Maintains a transcript of conversations from all channels.

Enables customers to resolve queries or issues without the assistance of an agent.

Enables users to search for specific email attachments.

Allows users to create and assign custom tags to emails.

Automatically sorts mail into untuitive categories and/or folders.

Allows users to set up predefined rules to automatically sort incoming mail.

This software integrates with Microsoft Outlook.

This software integrates with Gmail.

This software integrates with Apple Calendar.

Provide a unified inbox to manage multiple accounts at once.

Provide the ability to automatically send recurring emails.

Provide a feature to snooze, or defer, non-urgent emails.

Is able to process inquiries submitted by text data from live chat, email, or SMS

Comprehends human speech and can transcribe it to text for processing

The AI is able to access the company's internal knowledge to inform and guide responses to customer inquiries

The platform is able to automatically determine how to resolve help tickets without assistance by human agents

The platform's responses to customers can be customized to improve comprehension, relatability, and emotional intelligence

When the AI is unable to process a particular type of customer request, it is able to determine which is the best agent to refer the ticket to

The AI platform is able to learn over time on how to interpret each type of customer inquiry and improve the quality of their responses

Multilingual capabilities allow the AI to process inquiries from many languages

The AI's responses to customer inquiries provide human-like organic conversations. The platform is able to understand a question no matter how it's worded and provide comprehensive answers

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Simulates human-like speech from text inputs.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Simulates human-like speech from text inputs.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to automate the handling, processing, and management of documents.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Provides an AI agent that is able to make decisioning independently.

Allows the AI agent to identify and resolve issues without user intervention.

Provides users with automated updates on ticket progress and resolution timelines.

Enables the AI agent to track service level agreements and ensure timely ticket resolution.

Enables the AI agent to classify and prioritize tickets based on issue type and urgency.

Allows the AI agent to route tickets to the appropriate team or individual for resolution.

Allows the AI agent to automatically generate tickets from user inquiries or issues.

Enables the AI agent to retrieve and apply solutions from an IT knowledge base.

Enables the AI agent to automate repetitive IT tasks, such as password resets or software installations.

Allows the AI agent to diagnose and resolve IT issues without human intervention.

Provides users with instant, automated guidance to resolve common IT problems.

Allows the AI agent to identify and address potential IT issues before they escalate.

Works across multiple software systems or databases

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases