Digital technology has the power to transform and redefine enterprises. This means companies need to adapt quickly in case they do not want to be left behind. Established businesses need this to survive more than to catch up to the pioneers in their industry. All processes that require planning and execution need to be rebuilt with modern technology so that they can support a networked organization which works in real time and responds immediately to the changing conditions of the company.
Cognitive Automation Makes the DifferenceCompanies can now free all information from old data and process all of their traditional enterprise applications using cognitive automation. This way operations become more responsive and focus on delivering their business outcomes such as locating all underused assets, anticipating interruptions to their supply, recognizing any spikes in demand, and more, learning as it goes. There are three elements involved in this:
- Access real-time data for analysis
- Present the results in a business context
- Enhance performance with continuous learning.
Map the DataThe first step in mapping data is to combine all information across the company's data sources for analysis. The software is connected so that it can keep the data constantly updated, which automatically transforms and restructures the data and gives real-time visibility into all business operations.
Deliver the Analysis in ContextCognitive Automation comes in pre-configured and customizable packages, which are end-to-end solutions. These solutions combine all underlying data and the embedded AI with it and give analysis, forecasts as well as recommendations to improve decision making.
Continue LearningCognitive automation means learning from experience. The architecture is continuously reviewing all past decisions and actions that take place and it looks for emerging patterns that can be recommended for automation.
Unlock the FutureCognitive automation helps companies stay in control of their planning cycles by resolving key pain points when it comes to demand planning, supply chain forecasting and management.
Augmenting the Work of Supply Chain PlannersWith the help of cognitive automation, companies end up reducing the amount of repetitive work of their supply chain partners. They use machine learning algorithms to analyze their data and then the system automatically suggests the actions that the company needs to take, such as increasing their inventory, starting a new production run, and more. Cognitive automation comes with daily alerts for decisions that are on a time crunch, based on real-time data.
- Cognitive automation helps the supply chain partners of each company in reducing repetitive tasks they need to complete
- Companies get real-time updates and suggestions to improve their operational efficiency
- It combines all of the organization's data under one platform, looks for emerging patterns and makes recommendations to the company