Sprinklr Service 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.

Provides voice call functionality.

Provides an interface for one or more social media channels.

Includes or integrates with live chat initiaited from the company's web site.

Accepts contacts initiated through SMS or other mobile text functions.

Allows CSRs to receive and answer customer emails.

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.

Administrators can access and organize data related to incidents, requests, and changes to produce reports or make data more navigable.

Operationalizes data delivery workflows to easily scale repeatable preparation needs

Provide workflows to create and escalate issues related to risks and requests

Integrates with live chat, chatbots, help desk, or other customer service software

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

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

Automates some or all operation related tasks

Monitors call volume and quality to evaluate agent performance.

Has a centralized dashboard for users to interact with.

Forecasts scheduling needs based on historical data.

Tracks agent workloads throughout the day and helps supervisors allocate resources as needed.

Ability to control file/folder access by user or group, external sharing permissions, editing policies, device location restrictions, sharing by device, etc.

Ensures user access management, data lineage, and data encryption

Deliver standard reports for compliance standards and frameworks such as ISO, SOX, PCI, and HIPAA.

Perform ad-hoc or ongoing IT audits at different levels of the company.

Identify risk data attributes such as description, category, owner, or hierarchy.

Protects data with some form of encryption as it leaves your secure or local network.

Allows administrators to set user access privileges to permit approved parties to access sensitive data.

Requires a second level of authentication, such as sms messaging or customized tokens, to access data.

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

Route calls to the most appropriate agent according to a series of factors, including the time of day, customer priority, IVR outcomes, and skill-based routing (SBR). Voicemails can be routed to agents during quiet call periods.

Callers can be routed to a queue or placed on hold until an agent becomes available.

Place a large or unlimited volume of calls simultaneously without diminishing the call quality.

Provides some level of analytics based on keywords and vocal tones.

Has auto dialing or predictive dialing functions for outbound use.

Includes an interactive phone menu.

Populates CSR's screen with available customer data.

Maintains and shares information across channels and agents as the case progresses.

Provide agents with notes or context information about a call. These notes can include information such as caller disposition or contact history.

Manage call records and agent tasks through administrative features. Provide agents with guidance during live calls, and interrupt calls with call barging to ensure customer satisfaction, if necessary.

Report on historical or real-time call center performance metrics, and access data through highly visual dashboards.

Keeps records of agent-customer sessions for purposes of coaching, quality assurance, or regulatory purposes.

Provides workforce management functions such as scheduling and vacations, team assignments, and areas of expertise.

Enables the creation of an internal repository of knowledge articles

Provides workflows for writing, editing, approving, and publishing knowledge article content

Helps users understand which knowledge articles are working and identifies areas of improvement

Offers a search function that auto-suggests the knowledge articles that best fit the agent’s query

Analyzes customer support tickets or conversations to suggest relevant knowledge articles

Allows for the creation of flowcharts or decision trees that guide agents step-by-step through resolving customer issues

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.

Offers complete visibility into agent availability to efficiently create and manage schedules.

Organize, sort, and view employees based on skills and qualifications in order to make smarter workforce decisions.

Plan employee work shifts according to availability and provide notifications to employees when they are scheduled.

Allows agents to set their own preferences, request time off, and trade shifts.

Allows users to access the software using mobile devices.

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.

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.

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.

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.

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

Works across multiple software systems or databases

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

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