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.
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
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Current State Analysis and Benchmarking
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Process Definition and Reengineering
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Process Digitalization Strategy
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Digital Transformation Roadmap
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Change Management
Network Design
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Supply Chain Network Design
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Inventory Positioning and Optimization
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Route and Freight Optimization
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Technology Optimization
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Best Practice Adoption
Digital Systems
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NEO Data Lake®
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Digital Twin Enablement
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Demand Sensing and Forecasting
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Exception-Based Supply Planning
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Dynamic Inventory Allocation
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Auto-Balancing of Demand and Supply
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Automated Decision-Making
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Cloud and Hybrid Infrastructures
Visibility & Control
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Supply Chain Control Tower
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Control Tower Roadmap
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Control Tower Process Definition
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Supply Chain Performance Metrics
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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.
Early warning system assesses potential opportunities and risks, evaluates impacts, and enables a timely response.
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Warnings for weather, regulatory changes, sanctions, tariffs, etc.
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Delay predictions and value-at-risk estimations for shipments.
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Benchmarking and scenario analysis from 100,000+ events.
Responsive demand forecasting solution that takes into account external and internal demand signals.
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Real-time demand sensing.
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Dynamic capacity planning.
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AI-powered guided buying.
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Advanced scenario planning.
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Visibility into supplier risk.
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.
AI Revolution for Autonomous Supply Chain Planning
KetteQ CEO Mike Landry discusses how autonomous planning, leveraging AI and cloud computing, is revolutionizing the post-pandemic supply chain.
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.