Enable Self-Driving Planning Processes.

Achieve automation and greater visibility.

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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.

Challenges

Key Challenges Reported by Business Leaders

92

Report Increase in Supply Chain Disruption

86

Lack Sufficient Digital Technologies

80

Negatively Impacted by Disruption

58

Revisiting Business Growth Strategy

50

Lack Supply Chain Visibility

Offerings

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

Benefits

Our Autonomous Planning Solutions Drive Measurable Business Value

29

Fewer Stockouts

10

Faster Inventory Turns

10

Higher Asset Utilization

5

Improved Service Levels

2

Revenue Growth

Accelerators

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.

SENSE.AI
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.
DEMAND.AI
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.
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NEO DATA LAKE®
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.
IBPNOW
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.

Partners

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.

Webinars

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.

Blog

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?

Videos

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.

Blog

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.

Blog

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.

Infographics

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.

Videos

Demand.ai – 5 Ways AI/ML Improves Forecast Accuracy

Our responsive demand forecasting solution enables real-time demand sensing, dynamic capacity planning, AI-powered guided buying, and more.

Blog

Powering Supply Chain Planning through Artificial Intelligence

AI is an enabler that can be leveraged across the supply chain to arm business leaders with the data they need to detect, assess and mitigate disruptions.

Blog

Transforming Supply Chain Monitoring with Autonomous Planning

Technologies like AI, ML and IoT are proving to be powerful tools to help supply chain professionals do their jobs more effectively than ever before.

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