Atlas Support Features
What are the features of Atlas Support?
Platform
- Customization
Communication
- Pop-up Chat
- Notifications
- In-App Messaging
Internal Use
- Customization
- Conversation Archiving
- Knowledge Base
- Team Inbox
- Customer Profiles
Channels
- Multi-Channel Coverage
Design
- Inbound Identification
- Regulatory Compliance
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Filter for Features
Platform
Mobile User Support | Allows software to be easily used on multiple mobile devices include phone and tablet devices. | Not enough data | |
Customization | Allows users to customize chat colors, text, logos, and branding. This feature was mentioned in 12 Atlas Support reviews. | 85% (Based on 12 reviews) | |
User, Role, and Access Management | Grant access to select data, features, objects, etc. based on the users, user role, groups, etc. | Not enough data | |
Integration | Integrates with other customer service software to improve support and enhance functionality | Not enough data | |
Reporting | Provides analytics tools that reveal important business metrics and track progress | Not enough data | |
Dashboards | Displays important metrics relating to performance | Not enough data | |
Live chat | Provide tools for live chat on one's website. | Not enough data | |
Integrations | Allows easy integrations with applications, such as messenger applications, APIs, and customer support tools. | Not enough data | |
Branding | Has the ability to customize look and feel of chatbot to match` company branding. | Not enough data | |
Analytics | Gives user the ability to analyze conversations with the chatbot and see its performance. | Not enough data | |
A/B testing | Allows users to test the efficacy of various responses through A/B testing. | Not enough data | |
Role-based access | Allows for varying access to chatbot and admin settings, depending on user, their role, etc. | Not enough data | |
Collection of information | Can collect and store information from interlocators, such as email, phone number, etc. | Not enough data |
Ticket and Case Management
Ticket Creation User Experience | User Experience of creating and submitting a ticket | Not enough data | |
Ticket Response User Experience | User Experience of responding and receiving a response | Not enough data | |
Workflow | Route tickets based on values of fields, changes to ticket status and time based conditions | Not enough data | |
Automated Response | Respond to common requests with standard reply | Not enough data | |
SLA Management | See feature definition | Offers tools for managing and tracking service-level agreements (SLAs) | Not enough data |
Attachments/Screencasts | Documents and files can be attached to the ticket to communicate with customer issues/resolutions | Not enough data | |
Ticket Collaboration | Share and collaborate on tickets with multiple customer service representatives | Not enough data | |
Customer/Contact Database | Central repository for account and contact information | Not enough data |
Communication Channels
Customer Portal | Allows fully customizable portal for customer to enter tickets, provide feedback and communicate with service agents | Not enough data | |
Email to Case | Ability for customer service agents to communicate via email and email conversations are automatically tracked in ticket | Not enough data | |
Live Chat Support | Ability for customer service agents to communicate with customers via live chat to solve problems live | Not enough data | |
Social Media Integration | Integration to social networks such as Twitter and Facebook to allow customers and agents to communicate via social networks | Not enough data | |
Voice | Make and receive calls directly in the application. Track and record calls for analysis. | Not enough data |
Self-Service Experience
Knowledge Base | Provides a repository of information that can be used by those seeking support. | Not enough data | |
Searchable Articles | Makes articles in the knowledge base searchable on the web. | Not enough data | |
Community Forums | Enables users to engage with other users to solve common issues. | Not enough data | |
Mobile Optimization | Optimizes the customer self-service experience on mobile devices | Not enough data | |
Personalization | Gives the user targeted, personalized results based on their activity or preferences | Not enough data |
Self-Service Platform
Branding | Allows users to add custom branding (logos, brand colors, etc.) to self-service portals, chatbots, etc. | Not enough data | |
Automation | Automates some or all operation related tasks | Not enough data | |
Artificial Intelligence | Utilizes artificial intelligence to improve workflows or customer experiences | Not enough data | |
Integrations | Allows easy integrations with applications, such as messenger applications, APIs, and customer support tools | Not enough data |
Communication
Pop-up Chat | Enables a popup chat window on company websites to encourage interaction between website visitors and designated company representatives. 11 reviewers of Atlas Support have provided feedback on this feature. | 98% (Based on 11 reviews) | |
Notifications | Delivers notifications to both sides of the conversation. 11 reviewers of Atlas Support have provided feedback on this feature. | 100% (Based on 11 reviews) | |
Targeted Emails | Sends automated emails to further engage clients and potential clients. | Not enough data | |
In-App Messaging | As reported in 11 Atlas Support reviews. Allows for live chat to be enabled within the app for customer help. | 100% (Based on 11 reviews) | |
Co-Browsing | Allows agents to join a customer's browser session and navigate through the website with them. | Not enough data |
Internal Use
Customization | Based on 12 Atlas Support reviews. Allows users to customize chat colors, text, logos, and branding. | 85% (Based on 12 reviews) | |
Conversation Archiving | Based on 10 Atlas Support reviews. Archives conversations in a separate location for later reference. | 100% (Based on 10 reviews) | |
Knowledge Base | As reported in 10 Atlas Support reviews. Establishes a knowledge base for employee reference during conversations. | 97% (Based on 10 reviews) | |
Team Inbox | Provides a central location for help requests, helping employees respond sooner. 10 reviewers of Atlas Support have provided feedback on this feature. | 98% (Based on 10 reviews) | |
Customer Profiles | Based on 10 Atlas Support reviews. Allows for the creation of profiles for contacts and customers. | 100% (Based on 10 reviews) |
Channels
Multi-Channel Coverage | Software incorporates multiple digital communications channels. This feature was mentioned in 14 Atlas Support reviews. | 96% (Based on 14 reviews) |
Design
Personalization | Outbound communications are segmented and personalized. | Not enough data | |
Inbound Identification | Inbound contacts are identified and handled based on history. This feature was mentioned in 13 Atlas Support reviews. | 95% (Based on 13 reviews) | |
Regulatory Compliance | As reported in 13 Atlas Support reviews. Software verifies compliance with GDPR, CAN-SPAM, and other legal requirements. | 97% (Based on 13 reviews) |
Responses
Customization | Customize your chat workflows with rules and automations. | Not enough data | |
Control | Control who the chatbot converses with (and when). | Not enough data | |
Route To Human | Has the ability to connect interlocator with a human agent when the need arises. | Not enough data | |
Menu bars | Can provide interlocators with menus, through which they can choose a relevant response. | Not enough data | |
Drip sequences | Can send triggered sequence of automated messages sent on a predefined schedule in a targeted fashion. | Not enough data |
Data
Reliability | Ensures consistent performance, delivering reliable outputs based on user prompts. | Not enough data | |
Data Security | Implements stringent measures to protect user data and ensure privacy. | Not enough data |
Interaction
Complex Query Handling | Shows adeptness in comprehending and responding to complex or multi-part queries. | Not enough data | |
Natural Conversation | Facilitates natural and human-like conversations, delivering engaging interaction experiences. | Not enough data | |
Understanding | Demonstrates a sophisticated understanding of both written and spoken user commands. | Not enough data | |
Context Management | Exhibits proficiency in maintaining and utilizing context throughout a conversation. | Not enough data | |
Customizability | Offers a high degree of customization to meet individual user or business requirements. | Not enough data |
Learning
User Interaction Learning | Features robust learning mechanisms, improving responses over time based on past user interactions. | Not enough data | |
Error Learning | Showcases the ability to recognize, correct, and learn from its own mistakes. | Not enough data |
Content Generation
Creativity | Displays creativity in generating diverse, interesting, and contextually relevant responses. | Not enough data | |
Content Accuracy | Produces content that is accurate, factually correct, and relevant to the user's query. | Not enough data |
System
API Flexibility | Evaluates the chatbot's ability to provide flexible APIs for custom integrations and functionality expansions. | Not enough data | |
Update Frequency and Utility | Regularly receives updates that contribute to continuous improvement of the product. | Not enough data | |
Cross-Platform Compatibility | Assesses the chatbot's ability to function seamlessly across various platforms and devices. | Not enough data | |
Software Integration | Seamlessly integrates with other platforms or software systems, enhancing overall utility. | Not enough data |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data |