C3.ai helps leading manufacturers address core manufacturing goals with the use of enterprise artificial intelligence.
By integrating data from enterprise systems, operational sources, sensor networks and external providers, C3.ai uses this information to power machine learning models, to generate predictive insights for the manufacturing industry. As a result the technology increases a company’s throughput, supply chain efficiency and service revenue.
Applications for the manufacturing industry
Using advanced artificial intelligence, machine learning and optimisation techniques, C3.ai’s inventory optimisation technology reduces a manufacturers inventory levels, while ensuring that they still have stock when and where it is needed.
Real time recommendation, time monitoring and data
Ability to specific maximum acceptable risk of stock-out for parts
View, compare and benchmark individual parts and suppliers
“What if?” scenario planning
Individual optimisation and scalability of parts and inventory levels
C3 inventory optimisation demo video:
Using advanced machine learning, C3.ai’s predictive maintenance technology provides maintenance planners and equipment operators with comprehensive insights for asset risks.
Access to real time asset health
Asset failure prediction algorithms
Asset risk management across entire portfolio
Diagnostics and projection
Ability to track, benchmark and rank performance
Comprehensive closed-loop workflow and coordinated alerts and notifications
C3 predictive maintenance demo video:
Also using machine learning, AI and optimisation algorithms, C3.ai’s energy management technology helps company’s gain energy expenditure visibility, as well as the ability to prioritise actions to reduce operational costs.
Streaming analysis of energy
Peak demand forecasting
Ability to analyse end use disaggregation
Ability to detect anomalies
Alerts and recommendations to improve operations
Tracking and reports
Ability to maximise finance
Real time analytics
Integrate data from multiple sources to drive high value insights
C3 energy management demo video:
Using advanced machine learning, C3.ai’s sensor health technology integrates and analyses data from multiple systems to ensure IoT devices and network infrastructures are operating effectively during the deployment and the operational life cycle of the devices.
Ability to identify deployment issues, malfunctions, forecast future deployment progress and optimise field service
Ensure installation data is correct, consistent and current
Reporting and analysis
Ability to visualise planned deployments, actual deployments, provisioning progress and issues
By applying advanced machine learning and AI, C3.ai’s CRM technology provides its users with a real-time predictive customer relationship management (CRM) application to drive operational excellence.
Improved revenue forecasting accuracy, in near real time
Recommended best actions for sales representatives
Predictive lead quality and lifetime value
Ability to leverage geolocation and mobile device data for timely and accurate recommendations
Analyse and monitor performance
To find out more about C3.ai’s enterprise AI services for the manufacturing industry head over to the C3.ai website.
For more information on procurement, supply chain and logistics topics - please take a look at the latest edition of Supply Chain Digital magazine.
Video and image source: C3.ai