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Processing Node (Single Shot Dynamic Workflow)

The Processing Node delivers one dynamic response and then automatically ends the conversation. It is best suited for scenarios where a single, concise output is enough to address the user’s request without requiring follow-up.​Note: This capability is also available in traditional Conversational AI

26.1

Sprinklr Service

New Article

Service

Knowledge Base Article

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Dynamic Workflow

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Create a new model training project for Text Classifier

This section aims to provide a comprehensive guide on creating a new model training project for Sprinklr's Text Classifier, which can filter out irrelevant terms for your brand or industry without any manual rule implementation or keyword maintenance. The article will walk you through the entir

Text Classifier New Model

Insights

ai studio

Knowledge Base Article

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Create a New Model Training project for Text Classifier

RS
Sprinklr Service: 19.11 Capabilities and Enhancements

Sprinklr Service's latest 19.11 release introduces a range of exciting new capabilities aimed at empowering your business to create more meaningful customer experiences across all touchpoints. Here are the key features included in Sprinklr Service's latest release:Knowledge BaseThe followi

marketing

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social

Service

Knowledge Base Article

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19.11 Release (Oct 25-Nov 8, '24)

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Sprinklr Copilot for Listening Dashboards

The Sprinklr Copilot for Listening Dashboard is designed to enhance your data analysis experience. It leverages generative AI to deliver key insights in concise, natural language while detecting anomalies, highlighting key trends, and uncovering the root causes of data changes. It leverages all the

Sprinklr Insights

Insights

Updated Article

26.4

Knowledge Base Article

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Sprinklr AI+

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Case Analytics View in Sprinklr Mobile and Tablet Application

The Case Analytics View in the Sprinklr Mobile App gives supervisors and quality analysts immediate access to essential interaction insights directly from a mobile device, such as a phone or tablet. This flexibility is especially valuable when supervisors are away from their desks, walking the conta

Sprinklr Service

Service

26.1.1

Updated Article

Knowledge Base Article

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Supported Features

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Creating an Asset in the Asset Manager

Before you StartThe Asset Manager provides a centralized repository for all media assets, documents, templates, and more. This article will help you with the steps to add assets in the asset manager. You can find the link to the Digital Asset Manager (DAM) here.​Steps to add an Asset to the Asset Ma

Service

Knowledge Base Article

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Service Channels

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Command Center: Alerts visualization for faster response and action

In today's fast-paced digital landscape, businesses must stay vigilant and responsive to potential crises and customer concerns. To address this need, our command centre product offering has integrated a powerful Crisis and Alert Management feature. This feature leverages AI algorithms and manu

Display - SES

social

Command Center: Alerts visualization for faster response and action

command center

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Knowledge Base Article

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Display

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Compare Brand Performance dashboard

Social accounts help any brand to build and increase their brand awareness by sharing boosted or organic content and responding to fan comments thereby building a community of loyal customer base. Thus, it is really important for brands to analyze the performance of their social accounts, benchmark

Insights

brand performance

Benchmarking

Knowledge Base Article

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Standard Dashboards in Benchmarking

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Workforce Management Overview

Sprinklr's Workforce Management (WFM) streamlines contact center operations and offers robust capabilities for Forecasting, Capacity Planning, Scheduling, Time Off management, and Real-time Adherence. It uses proprietary AI solutions to accurately predict forecasts, generate optimal capacity pl

Sprinklr Service

Service

Updated Article

26.4

Knowledge Base Article

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Sprinklr's Workforce Management Solution

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Custom Entities An Introduction

OverviewCustom entities serve as comprehensive database solutions, accessible in any configured application across the Sprinklr platform. They differ significantly from custom fields and variables used within dialogue trees.Custom fields are restricted to message, case, or profile levels, whereas cu

Service

Knowledge Base Article

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Entity Studio

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Sprinklr Service: 26.1 Release Notes

Sprinklr Service unifies customer experiences across voice, digital, and social channels. This release delivers advanced capabilities, enhancing efficiency and enabling businesses to craft consistent interactions across all touchpoints. Here are the key features included in Sprinklr Service's latest

marketing

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social

Service

Knowledge Base Article

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26.1 Release (7th Jan '26 Onwards)

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Reporting on Automated Quality Management

In reporting, you can access various metrics to analyze the performance and effectiveness of automated quality management. Here's a breakdown of the key metrics available:SummaryTotal AI Evaluations: This metric indicates the total number of evaluations performed by automated quality managemen

Service

Knowledge Base Article

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Reporting

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Sprinklr Copilot Features for Platform

Sprinklr Copilot strengthens the entire platform experience by delivering AI-powered assistance that enhances usability, governance, and scalability across all modules. It helps users navigate complex workflows with intelligent recommendations, automates repetitive administrative tasks like tagging,

marketing

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social

Service

Knowledge Base Article

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Platform

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Configure a Data Connector Tool

Use the Data Connector Tool to integrate an AI Agent with external data sources and systems. This configuration enables the agent to send and receive data through selected connectors and APIs.ProcedureOpen the Tools window, select Add Tool, and choose Data Connector from the dropdown list.In the con

Knowledge Base Article

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Integration Tools

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Sprinklr and TikTok Ads Capabilities

Composing TikTok Ads within Sprinklr furnishes you with AI-powered, real-time optimizations across campaigns using standard channel metrics, custom brand calculations, and third-party analytics. Increase your return on ad spend, improve productivity, and protect your brand’s reputation with Sprinklr

marketing

Knowledge Base Article

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Publish TikTok Ads

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Implementation Steps for BYOM in AI+ Studio

You can add your own custom LLM by configuring BYOM as a provider.Step 1: Add a ProviderIn AI+ Studio, navigate to the Providers page.Click Add Provider in the top-right corner.From the dropdown, select Bring Your Own LLM.Click Next. You will be redirected to the configuration page.Step 2: Configure

Sprinklr Service

marketing

Insights

social

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Knowledge Base Article

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Add Support for BYOM

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Metrics and dimensions in Visual Insights

Get familiar with metrics and dimensions supported in Visual Insights.Metrics and dimensions are used to give you a quantitative view of your online impressions. A metric is a singular type of data that helps a business measure certain aspects of its operations to achieve success, grow, and optimize

Insights

Visual Insights Metrics

Visual Insights Dimensions

Knowledge Base Article

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Metrics & Dimensions

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AI Creative Insights Best Practices by Channel

SUMMARYThis article lists all the best parctice rules that is configured to understand if the creatives align with channel best practicesRules for aspect ratio for different channelsChannelMedia TypeAspect RatioLinkedInImageAspect Ratio is 1.91:1 or 1:1 or 2:3 or 4:5LinkedInVideoAspect Ratio is 16:9

marketing

Knowledge Base Article

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Functionalities

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Create Intents from Scratch

Creating intents from scratch allows you to define custom intents tailored to your specific use cases. This approach gives you full control over intent names, descriptions, priority, languages, and user expressions, ensuring that your Conversational AI model can accurately capture and respond to use

Service

Knowledge Base Article

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Set Up NLU Based Intents

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PII Masking and Data Protection

The Personally Identifiable Information (PII) Masking in Sprinklr refers to the process of identifying and securing sensitive personal information with the platform to ensure compliance with data privacy regulations (like GDPR, CCPA) and protect user data from unauthorized access.​It involves hiding

Sprinklr Service

Service

Updated Article

26.4

Knowledge Base Article

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Masking Templates