Enable Self-Driving Planning Processes.

Achieve automation and greater visibility.

Autonomous Planning

Boost productivity and service levels and improve forecasting by integrating disparate data sources and building self-learning, action-oriented planning processes that automate critical decision-making.


Key Challenges Reported by Business Leaders


Report Increase in Supply Chain Disruption


Lack Sufficient Digital Technologies


Negatively Impacted by Disruption


Revisiting Business Growth Strategy


Lack Supply Chain Visibility


Autonomous planning solutions are built on a continuous, closed-loop, self-driving integrated planning infrastructure powered by our NEO Data Lake®, digital twin, data aggregation, well-defined touchless planning processes and AI-infused decision-making.

Assessment & Strategy

  • Current State Analysis and Benchmarking
  • Process Definition and Reengineering
  • Process Digitalization Strategy
  • Digital Transformation Roadmap
  • Change Management

Network Design

  • Supply Chain Network Design
  • Inventory Positioning and Optimization
  • Route and Freight Optimization
  • Technology Optimization
  • Best Practice Adoption

Digital Systems

  • NEO Data Lake®
  • Digital Twin Enablement
  • Demand Sensing and Forecasting
  • Exception-Based Supply Planning
  • Dynamic Inventory Allocation
  • Auto-Balancing of Demand and Supply
  • Automated Decision-Making
  • Cloud and Hybrid Infrastructures

Visibility & Control

  • Supply Chain Control Tower
  • Control Tower Roadmap
  • Control Tower Process Definition
  • Supply Chain Performance Metrics
  • Advanced Analytics


Our Autonomous Planning Solutions Drive Measurable Business Value


Fewer Stockouts


Faster Inventory Turns


Higher Asset Utilization


Improved Service Levels


Revenue Growth


Through our proprietary, customized accelerators, we empower enterprises to leverage cutting-edge technologies to sense and mitigate risk, balance supply and demand, and achieve maximum value from their technology investments.

Early warning system assesses potential opportunities and risks, evaluates impacts, and enables a timely response.
  • Warnings for weather, regulatory changes, sanctions, tariffs, etc.
  • Delay predictions and value-at-risk estimations for shipments.
  • Benchmarking and scenario analysis from 100,000+ events.
Responsive demand forecasting solution that takes into account external and internal demand signals.
  • Real-time demand sensing.
  • Dynamic capacity planning.
  • AI-powered guided buying.
  • Advanced scenario planning.
  • Visibility into supplier risk.
Load More
Modern data lake accelerates the building of an intelligent unified data layer that enables cross-system integrations.
  • Common data model and rich set of prebuilt integrations.
  • Interactive and embedded data science tools and analytics.
  • Enterprise-ready SSO, role-based access, admin and reporting.
  • Cloud-native, SaaS, serverless computing, pay-as you-go.
Packaged solution for SAP IBP accelerates time to value, reduces implementation risks and increases user adoption.
  • Preconfigured industry-specific scenarios and assets.
  • Customizable documentation and training materials.
  • ERP integration templates.


Stay ahead of the curve and gain added value by tapping into our strong partner ecosystem and integration engineering expertise.

Insights & Resources

Explore these resources to learn more about our autonomous planning solutions.

Case Studies

North American Auto Parts Manufacturer Saves $10M Annually with Demand.ai

Demand.ai, an award-winning AI and ML-powered demand forecasting solution, improves new product launch forecast accuracy, saving $10 million annually.


Boost Demand Forecasting Accuracy with Turbocharge APO

If you’re looking to transition out of APO but don’t want to lose out on forecast accuracy improvements in the interim, consider our Turbocharge APO solution.


Top 5 Digital Factors Influencing Supply Chain Performance

Digital transformation in the supply chain is one of the most effective ways to build a resilient business. Here are 5 ways digitization improves performance.


Improving Customer Commits and OTIF under Supply Shortage Conditions

Decision Intelligence transforms supply chain firefighting into an event-based and priority-driven process and enables an agile, automated planning solution.


5 Differences Between Demand Sensing and Forecasting

Demand sensing capabilities position you to respond quickly to changes in market conditions. How does demand sensing differ from demand forecasting?


Demand.ai – Enhance Your Existing Planning Capabilities

Our AI-powered Demand.ai solution considers internal and external signals and acts as a bolt-on to existing planning tools to enhance existing capabilities.


Overcoming Challenges with Autonomous Planning

An increasing number of companies are now ready to invest in creating a more resilient supply chain with autonomous planning, but aren’t sure where to begin.


Now is the Time for CPGs to Adopt Autonomous Planning

CPGs continue to face volatile demand patterns, rising raw material costs and supplier uncertainties. AI-powered planning optimizes S&OP in real time.


Demand Forecasting Facts and Figures – Infographic

Inability to effectively plan and respond to demand volatility poses challenges to an already strained supply chain. AI/ML can help overcome these challenges.

 Thrive on Change

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