Fonctionnalités de Cresta

Organizes knowledge from fellow sales representatives and other experienced employees for reference.

Offers content and training for new hires within the tool.

Lets managers review recorded video pitches to discuss areas of skill and areas that require improvement.

Provides a scorecard to display team and/or individual performance.

Allows managers to utilize and snapshot scorecards to coach new hires and assign action items.

Projects team sales performance publicly to reward and motivate employees.

Updates sales data in real-time so as to help teams remain close to their goals.

Notifies users of company-specified "danger zones" to correct behaviors and re-align sales processes in the right direction.

Motivates employees by creating time-sensitive competititons that drive performance.

Records sales calls and facilitates playback

Utilizes machine learning technology to analyze recorded sales calls

Analyzes or facilitates the analysis of recorded and stored sales calls for insight

Leverages analytics to qualify and score calls in real time

Leverages technology to rate or "read" recordings to determine the impact of sales calls

Transcribes sales calls from speech to text

Utilizes artifical intelligence to analyze emotional tone and interactions in a conversation

Provides tools for evaluating customer interactions

Offers features for maintaining fair and consistent scoring

Generates quality and performance reports

Tools for providing personalized feedback and coaching sessions

Provides a centralized dashboard for agents to view their scores and feedback

Tools for educating and training agents

Integrates with other customer service or CRM software

Helps ensure customer privacy and data protection

Processes large data sets

Processes unstructured data

Gives user ability to upload or process various types of files

Outputs fluent reports based on the inputted data

Outputs easy to read charts and graphs based on the inputted data

Grants ability to change generated content based on audience

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building language models

Provides users with pre-built algorithms for simpler model development

Allows user to build custom language models

Provides personalized responses to interlocator based on segmentation or past responses.

Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had.

Can have a natural, human-like conversation with an interlocator.

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.

Allows business to edit conversations to meet the unique needs of one's business.

Gives users the ability to update systems, like CRM, based on conversations.

Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants.

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.

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.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Condenses long documents or text into a brief summary.

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

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

Allows users to automate the process of generating and qualifying sales leads.

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.

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 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.

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.

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

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