LimeChat 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

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.

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)

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.

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.

Mapped-out responses for conversations.

Artificial intelligence (AI) and chatbot involvement.

Live human component of conversations.

Quality of interface for designing and customizing conversation maps.

Conversations enacted over social media.

Conversations enacted through embedding or pop-ups on websites.

Conversations enacted through text message (SMS).

Conversations enacted through voice assistants.

Conversations enacted through other channels.

Software incorporates multiple digital communications channels.

Allows incorporation of inbound contacts from non-marketing channels.

Overall quality of customer targeting based on needs or situations.

Creation and modification of customer profiles based on conversations.

Reporting based around specific and overall conversation results.

Capture and organization of leads from conversations.

Success rate of conversations leading to customer purchases.

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.

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.

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.

Ability to send reminders via SMS messaging to a mobile device

Ability to send proactive notifications via email

Ability to send reminders via voice messaging

Ability to support a two way messaging/conversation between customer and customer support agent

Ability to schedule push notifications at a specific date and time, or set an expiration for time-bound messages

Provides the ability to automate notifications based on user behavior

Ability to segment audiences based on device type, location, demographics, customer behavior, etc.

Ability to integrate with other software that stores customer data to generate reminders (i.e. CRM software)

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.

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 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.

Allow Gen AI powered chatbots to provide intelligent responses and tailored product recommendations.

Trigger messages based on specific customer actions such as personalized messages, promotions or cart abandonment.

Use Agentic AI to deliver superior customer engagement through human-like conversations.

Allow users to use voice assistants, such as Alexa, Google Assistant, and Siri to shop using voice commands.

Enable users to engage in communication apps such WhatsApp, Facebook Messenger, Instagram, WeChat etc.

Allow integration with e-commerce stores to import products, manage inventory and get order notifications.

Add conversational commerce functionality across various sales channels and customer touchpoints.

Integrate with payment platform for accepting payments from the chat interface

Integrate with CRM, POS or any marketing marketing tools for sending discounts, offers, recommendations and personalized campaigns.

Provide insights into customer behavior, sales trends, and chatbot performance.

Track KPIs like customer satisfaction, conversion rates, and overall sales driven by conversational channels.

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

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