S

SAS Customer Intelligence 360

Platform

by SAS

SAS Customer Intelligence 360 uses AI to turn customer insights into personalized actions across channels.

Find alternatives to SAS Customer Intelligence 360

What it does

• Workflow automation

Features 3

• Advanced segmentationCreates targeted audiences using graphical criteria, splits, priorities and custom code
• Journey capabilitiesCoordinates personalized customer journeys and resource schedules across multiple engagement channels
• Embedded CDPUnifies customer profiles and activates customer information across existing data sources

Sources

Pricing

Pricing page · 14 Oct 2026

"Request demos, free trials, price quotes & more"

Description

Official documentation · 14 Oct 2026

"turns customer insights into real-time, personalized actions across every channel."

What it does

Official documentation · 14 Oct 2026

"orchestrate journeys and optimize campaigns"

Sold within

Official documentation · 14 Oct 2026

"an AI-powered customer engagement platform"

Name

Official documentation · 14 Oct 2026

"SAS Customer Intelligence 360"

URL

Official documentation · 14 Oct 2026

"SAS Customer Intelligence 360"

Deployment

Official documentation · 14 Oct 2026

"SAS Customer Intelligence 360 is instantly available on the cloud."

Interfaces

Official documentation · 18 Oct 2026

Page: 'Find user guides, API documentation, release notes, configuration instructions and reference materials for SAS Customer Intelligence 360'.

Intended for

Official documentation · 18 Oct 2026

Page: 'SAS Customer Intelligence 360 supports marketers, digital teams, customer experience professionals and analytics-driven users such as data scientists'.

Also from SAS

• SAS Fraud Decisioning Application

  Real-time fraud detection and decisioning for financial institutions on SAS Viya: profiles customer behaviour and scores every transaction with machine-learning models, rules and anomaly detection against payment, account-takeover, application, synthetic-identity, check and digital fraud, with alert triage and investigation.

• SAS Viya Platform

  Cloud-native data and AI platform for regulated enterprises: data access and governance, visual and code-based machine learning, forecasting, text analytics and optimization, model management and decisioning, run in the cloud, hybrid or on premises.

• SAS Viya Copilot Application

  Generative AI assistant inside SAS Viya that writes, explains and comments SAS and Python code, suggests model-pipeline nodes in Model Studio, runs Model Manager tasks by conversation, and drafts reports and explanations of results in plain language.

• SAS Viya Workbench Developer tool

  Self-provisioned cloud coding environment for building analytic, machine-learning and AI models in SAS, Python or R from Jupyter, VS Code or SAS Enterprise Guide, with chosen CPU, memory and GPU sizes and sessions that shut themselves down.

• SAS Retrieval Agent Manager Agent platform

  No-code retrieval-augmented generation and agent builder: ingests unstructured enterprise documents with multilingual OCR, answers questions with citations through a choice of third-party LLMs and vector databases, evaluates the answers, and runs goal-driven agents, on premises or in the cloud.

• SAS Model Studio Platform

  Browser-based low-code machine-learning workspace in SAS Viya: build, compare and deploy predictive models as visual pipelines with AutoML for feature engineering, tuning and model selection, built-in interpretability reports, and SAS, Python or R code where needed.

• SAS Model Manager Platform

  Model registry and MLOps for SAS, Python and R models: versions and validates models, deploys them to cloud, on-premises, database and container targets without recoding, monitors data, concept and model drift with alerts, and produces model cards for fairness and transparency.

• SAS Visual Text Analytics Application

  Natural language processing workspace in SAS Viya that finds topics, extracts key terms and entities, scores sentiment and builds categories across large text collections by combining linguistic rules with machine and deep learning, and curates text to ground LLMs.

• SAS Intelligent Decisioning Platform

  Decision-intelligence platform on SAS Viya that combines predictive and machine-learning models with business rules and guardrails in governed, versioned decision flows, tests them, and publishes them as batch, API or real-time decision services that choose the next best action.

• SAS Credit Origination Platform

  SAS Credit Origination uses AI and machine learning to automate credit decisions.

• SAS Energy Forecasting Cloud Application

  SAS Energy Forecasting Cloud generates electric-load and renewable-generation forecasts using statistical and AI models.

• SAS Event Stream Processing Infrastructure service

  SAS Event Stream Processing applies streaming analytics and machine learning to continuously flowing events.

• SAS Financial Crimes Analytics Application

  SAS Financial Crimes Analytics uses AI and machine learning to detect and investigate financial-crime risks.

• SAS Fraud Decisioning for Claims Application

  SAS Fraud Decisioning for Claims uses analytical and AI techniques to score insurance claims for fraud.

• SAS Grid Guardian AI Application

  SAS Grid Guardian AI applies predictive analytics and machine learning to anticipate utility-equipment failures.

• SAS Asset Performance Analytics Application

  SAS Asset Performance Analytics predicts asset problems and identifies their root causes using analytics and data mining.

• SAS Field Quality Analytics Application

  SAS Field Quality Analytics identifies emerging product quality issues using predictive analytics and anomaly detection.

• SAS Production Quality Analytics Application

  SAS Production Quality Analytics uses machine learning to analyze manufacturing processes and predict quality problems.

• SAS Intelligent Planning Application

  SAS Intelligent Planning uses analytics and AI to support demand forecasting, inventory optimization and planning scenarios.

• SAS Intelligent Planning Cloud Application

  SAS Intelligent Planning Cloud creates demand plans using models that self-tune with machine learning.

• SAS Text Miner Application

  SAS Text Miner extracts information from text documents and supports text parsing and exploration.

• SAS Visual Analytics Application

  SAS Visual Analytics supports data exploration, analytics and reporting using machine learning and natural language explanations.

• SAS Visual Investigator Application

  SAS Visual Investigator provides investigation management and intelligence analysis using AI-assisted analytics and entity resolution.

• SAS Visual Statistics Application

  SAS Visual Statistics supports exploring data and building predictive models using machine learning.

Open SAS in the directory

Something wrong here? Send a correction — quote this product id: sas-customer-intelligence-360.