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.
SENSE.AI
Early warning system assesses potential opportunities and risks, evaluates impacts, and enables a timely response.
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.
DEMAND.AI
Responsive demand forecasting solution that takes into account external and internal demand signals.
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.
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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.
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
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.
Blog
Making Autonomous Planning Work for You
Autonomous planning draws on a wealth of internal and external data to enable action-oriented planning processes that automate critical decision-making.
Case Studies
Semiconductor Company uses AI-Powered App to Boost Forecast Accuracy by 40%
The solution provides a portal that enables forecast consumption through collaboration and combines statistical modeling with external event signals.
Case Studies
Auto Parts Manufacturer Recoups $10M a Year with ML-Driven Demand Forecasting
Bristlecone’s machine learning-driven, cloud-based app collates market signals, correlates it to demand patterns and drives reliable, accurate forecasts.
