TeamSupport 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

Access pre-built and custom reports and dashboards for viewing

The number of sources from which the platform can pull customer data and how well those integrations are supported.

Ability to input, modify, and extract data from the application in bulk through a structured file.

Automates everday customer success functions for more efficient and effective day-to-day processes.

Set alerts for customer actions in order to respond quickly and proactively.

Allows administrators to accommodate their unique process. Includes ability to create custom objects, fields, rules, calculations, and views.

Ability for the platform to grow with the user's company and support an increasing number of customers and users within the platform.

The measures taken to ensure that the customer data being held within the platform is being hosted in a safe environment and is not prone to risks.

Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond.

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

Generates a score that represents the likelihood of customer churn and customer satisfaction.

Catalogues and organizes a profile for each customer where every data point is attributed to.

Set alerts for customer profiles in need of urgent attention and resolution.

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 users a customer-specific score to determine the overall satisfaction of each customer.

Monitor customer actions overall as well as their interactions with different teams within the company, such as the support team

Gain a holistic view of your customers. Create customer profiles based on data pulled in from multiple sources including CRMs, service desks, marketing tools, and financial systems such as accounting and payroll software.

Create and structure key customer success processes into a "playbook" to create unified team best practices for handling customers.

Separate customers into similar segments based on criteria such as subscription models, support needs, or usage behaviors to allow for more personalized and specific attention.

Identify which customers are getting the most out of your products or services and highlight those who have not yet fully adopted or may need further training.

Allows users to create and send out surveys to customers to determine net promoter scores and other key satisfaction information.

Calculates the risk that your customers will not renew or continue using your product or service.

Discovers and highlights factors that lead to upsell opportunities.

Allows users to set custom triggers to signal actions that will lead a customer to act in a particular way.

Ability for the platform to learn and improve predictions based on previous customer behavior and a growing database of customer information.

Service quality is measured in real time to provide alerts to case managers on opportunities for improvement

Provides dashboards and reports to describe profiles and trends.

Measures the business value of each customer and their contribution to the company bottom line.

AI technologies like NLP, NLU, and/or NLG are used to analyze and process text provided by customer interactions.

The product automatically discerns customer sentiment from text and/or calls for proactive action.

Calculates the likelihood of your customers continuing to use your product or leaving.

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

Archives conversations in a separate location for later reference.

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.

Orchestrates customer journey via customizable workflows.

Contains e-signature functionality.

Captures customer data through digital forms.

Uses OCR to scan customer documents, extract data, and auto-fill forms using the extracted data.

Scans and verifies customer identification documents.

Runs KYC checks on customers using information gathered in the application.

Checks customer credit information.

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.

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

Allows users to automate responses to customer inquiries across various channels.

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

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

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.

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

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.

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

Allows the AI agent to autonomously resolve customer queries without human intervention.

Enables the AI agent to provide accurate answers based on the context of customer inquiries.

Allows the AI agent to analyze customer sentiment and adjust responses accordingly.

Enables the AI agent to retrieve information from a knowledge base to assist with query resolution.

Provides users the ability to interact with the AI agent in multiple languages for global support.

Enables the AI agent to initiate interactions, such as reminders or follow-ups, with customers.

Provides users the ability to automate gathering and analyzing customer feedback after interactions.

Allows the AI agent to identify when issues require human intervention and escalate them appropriately.

Enables the AI agent to streamline repetitive customer service tasks, improving efficiency and response times.

Makes informed choices based on available data and objectives

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

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting