Achieve automation and greater visibility.
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
Supply Chain Network Design
Inventory Positioning and Optimization
Route and Freight Optimization
Best Practice Adoption
NEO Data Lake®
Digital Twin Enablement
Demand Sensing and Forecasting
Exception-Based Supply Planning
Dynamic Inventory Allocation
Auto-Balancing of Demand and Supply
Cloud and Hybrid Infrastructures
Visibility & Control
Supply Chain Control Tower
Control Tower Roadmap
Control Tower Process Definition
Supply Chain Performance Metrics
Our Autonomous Planning Solutions Drive Measurable Business Value
Faster Inventory Turns
Higher Asset Utilization
Improved Service Levels
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.
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.
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.