Anaplan Announces Latest AI-Driven Innovations and Applications to Advance Enterprise Decision-Making

MIAMI, March 25, 2026 - Anaplan, a leading AI-driven scenario planning and analysis platform designed to optimize decision-making in today's complex business environment, today announced new AI innovations, including the availability of Anaplan CoModeler, Custom Analyst, and Agent Studio, alongside the launch of 12 new purpose-built, out-of-the-box applications. Together, these innovations bring decades of deep domain expertise and predictive, generative, and agentic AI directly into key enterprise planning workflows, positioning Anaplan as the decision infrastructure enterprises can rely on to make better, faster decisions at scale.

"The mandate to adopt AI has created a new critical challenge for business decision-making: AI must do more than retrieve answers - it must compute them with precision and confidence," said Adam Thier, chief product and technology officer, Anaplan. "That is why we've architected our platform to be the computational engine that connects every operational choice to its financial outcome. This gives our customers the ability to see the full impact of a decision before they make it, allowing them to respond to market changes faster and capitalize on opportunities others can't see."

Anaplan combines the conversational access and reasoning power of large language models (LLMs) with a deterministic planning engine to promote accurate, traceable, and auditable calculations. Built on proven machine learning, explicit business logic, and real-time calculation models, Anaplan delivers precise, reliable insights. Crucially, with over a decade of domain expertise across finance, supply chain, sales, and workforce planning, Anaplan provides the business context AI needs to interpret enterprise data and enable the precision required for agile decision-making.

Because Anaplan is deeply integrated across enterprise systems and workflows, it continuously generates proprietary scenario data that drives faster insights and more confident decisions. Many of the world's leading AI organizations, including AWS, Google, NVIDIA, Microsoft, OpenAI, ServiceNow, Salesforce and others, rely on Anaplan's AI-driven scenario planning and analysis platform to make their most complex and critical business decisions.

AI at the Core: Intelligent Experts for Every Business Function

Following the introduction of intelligent, role-based agents in December, today's launch expands Anaplan's AI capabilities with new innovations designed to deliver immediate productivity gains for customers while accelerating the ability to build and deploy secure, fit-for-purpose AI agents tailored to their unique business needs. This includes:

• Anaplan CoModeler: An intelligent, role-based AI agent for the architects of enterprise planning, CoModeler empowers model builders to create, extend, and optimize planning models with greater speed and consistency.
• Anaplan Custom Analyst and Agent Studio: A powerful toolkit that reduces development time and ensures full governance and control for deploying custom AI assistants, allowing customers to leverage generative, conversational AI to gain immediate insights from their custom-built models.

"CoModeler feels like an extra set of hands when building complex formulas," said Gary Loveday, planning systems and BI manager, Sky. "It saves our team significant time and helps newer model builders progress faster and more confidently."

CoModeler consistently delivers comprehensive implementation plans in minutes for common tasks, surfaces optimization opportunities we might otherwise miss, and produces clear, role-specific documentation that takes on the heavy lifting so we can focus our time and expertise on higher-value, more complex build work. It also proposes alternative approaches to complex solutions, helping us accelerate delivery with greater speed and confidence.

Future-Ready Out-of-the-Box Applications Reveal Domain Expertise in Action

Anaplan also announced the availability of 12 new purpose-built applications that offer out-of-the-box functionality to address specific, high-value challenges faced by finance, sales, supply chain, IT, and human resources leaders. Drawing on more than a decade of enterprise planning experience, these applications embed domain-specific best practices and are designed to accelerate time to value, lower implementation risk, and drive greater impact as customers connect multiple applications together. These new applications:

• Drive profitable growth for finance teams and the office of the CFO
  • Project Cost Planning: Connects project spending directly to financial strategy with real-time visibility into budgets, timelines, and resource allocation, keeping investments on track and maximizing return on investment (ROI).
  • Profitability Analysis: Provides real-time transparency into costs, returns, and performance with flexible, adaptable models that allow leaders to test allocation strategies, assess risk, and optimize outcomes before committing capital.
  • Subscription Revenue Planning: Unifies finance targets and sales execution on a single platform to build more accurate forecasts, model recurring revenue with precision, and drive predictable, sustainable growth.
  • Consensus Margin Planning: Bridges the gap between finance and supply chain by aligning top-down financial targets with operational realities to protect margins, maximize profitability, and enable more confident, data-driven decisions.
  • Software Spend Optimization: Gives IT and finance control over software spend and aligns technology investments with business priorities through unified contract data, proactive renewal management, and powerful scenario planning.

• Build resilient operations for supply chain and retail leaders
  • Trade Promotion Management: Strategically plans and executes retail promotions with clear visibility into spend and performance, enabling teams to allocate funds more effectively and maximize promotional ROI.
  • Spend Analysis and Forecasting: Automates variance analysis and delivers accurate spend forecasts with real-time visibility into cost drivers, improving financial control and predictability.
  • Assortment Planning: Defines a precise pre-season inventory strategy by aligning product mix to each store or channel, matching local demand to maximize sell-through.
  • Allocation and Replenishment Planning: Executes with in-season precision by forecasting location-level demand and generating inventory recommendations that reduce stockouts, protect margin, and ensure the right product is in the right place at the right time.
• Align talent with strategy for HR and workforce leaders
  • Contact Center Planning: Understands contact center capacity and creates staffing plans that balance service levels, control labor costs, and close skill gaps.
  • Project Resource Planning: Optimizes talent allocation with visibility into project demand and supply, ensuring complex projects are delivered on time, on budget, and at high quality.
    
• Deliver predictable revenue for sales and marketing leaders
  • Sales Forecasting: Enables accurate, intelligent go-to-market forecasts with dynamic scenario modeling and real-time pipeline visibility, empowering leaders to drive predictable, repeatable revenue performance.

Our applications are optimized for the age of AI and based on decades of deep functional expertise. Each application reflects the complex relationships and trade-offs that define how modern businesses operate. By combining domain expertise and AI, we give our customers more than insights - we give them a clear path to making fast, informed, and effective decisions.

Today's announcement from Anaplan signals a pivotal moment in the evolution of enterprise AI. The organizations that will create the most value will not simply adopt AI but embed it deeply into the way decisions are made across the enterprise. With a unified platform, a new suite of domain-specific applications, and decades of planning expertise, Anaplan is helping redefine how AI drives better decisions at scale.