What is Intelligent Automation?
Intelligent Automation is the combination of process automation software and artificial intelligence models to automate business processes. These technologies drive enterprise benefits by improving quality, shortening process times, and reducing operational costs.
How does it work?
Robotic Process Automation (RPA) is a software platform that can interact with your company’s applications just like your employees. An RPA script can reproduce mouse and keyboard actions in the same way as your employees. It has tools that allow it to open applications, interact with windows/browsers, retrieve from almost any system or insert/update data.
For example, it can access an email account, find invoices in the inbox, extract an invoice document, extract the information, validate in your vendor lists (or other validations), and post into your accounts payable system without the need for a human. This allows repeatable processes to be automated the same as any employee only faster, and with fewer human errors.
Artificial Intelligence is the application of machine learning (ML), i.e. software learning from data, to perform a specific activity. A ML model is created by learning from a data set, and then used to process future data to perform a specific task. This elevates the efficiency of your organization by speeding decisions via automation. Today, machine learning can perform predictions, classifications, associations, clustering, anamoly detection, and natural language processing with incredible speed.
Oil and Gas
Oil and Gas is a labor, asset and resource intensive industry. Below are some examples of how intelligent automation can be utilized to achieve value from data through speed, efficiency and insight:
● Physical inventory elimination.
● Maximization of Equipment utilization.
● Improved manpower utilization.
● Reduction in equipment downtime through preventative maintenance.
● Just-in-time inventory.
● Quality of service improvement.
● Exploration analytics and analysis.
● Well production analysis.
● Industrial automation integration.
● Operational reporting and Compliance.
● Optimized drilling performance.
● Intelligent robots to improve productivity while reducing worker risk.
● Virtual assistants for customer inquiries.
● Guide processes through regulatory steps, automatically send correspondence as and when required, and ensure cases are resolved within the right timeframes.
● Anomaly detection and cognitive endpoint protection.
Logistics / Distribution
Competition in the logistics industry requires innovation to drive down cost as well as improve margins. Intelligent automation can eliminate costly manual functions by automatically acquiring, integrating and delivering data across your supply chain.
Below are some examples of how intelligent automation can be utilized to achieve value from data through speed, efficiency and insight:
● Receiving: Improved quality and efficiency through automation of bill of lading processing
● Vendor/Supplier Management: Improved quality and efficiency for vendor onboarding and inventory automation
● Pricing: improved pricing on aging inventory through automation and artificial intelligence
● Automate Shipment Scheduling and Tracking
● Automate shipment status notification
● Receiving: cost savings of > 25% from efficiency and quality
● Receiving: improved tracking of split shipments and reconciliation > 20%
● Vendor/Supplier Management: cost savings of > 25% through efficiency and increased quality
● Pricing: improved pricing improving margins as much as 20%