Top 10 Cognitive Automation Applications for Businesses in 2021 – Analytics Insight

Cognitive automation is relatively a new dimension, but experts believe that it can offer a substantial upgrade over the traditional generations of automation software. Now, IT leaders are looking forward to expanding their range of cognitive automation applications to support their businesses. Cognitive automation is also currently one of the hottest topics in the automation space. It brings an extra layer of artificial intelligence and machine learning to the mix of the other technologies. These machine learning bots facilitate the best ways to complete complex tasks as this technological collaboration enhances thinking and decision-making capabilities to the automation solution. Cognitive automation is an up-and-coming solution and has found various applications in businesses. In this article, we have listed the top cognitive automation applications that are transforming enterprises.

Offering innovative and secure customer service with chatbots: While chatbots are gaining popularity, their impact is limited to the extent of their integration in the business processes. For instance, if the technology is not integrated into the legacy billing system of a business, the customers will not be able to change their billing period through the chatbot. But cognitive automation allows building chatbots that can make changes in other systems efficiently.

Warehouse management: Managing warehouses that are located in multiple geographical locations might be a challenging task for a company. Keeping track of all the inventory, maintaining the machinery, and getting certain issues resolved whenever anything arises are some of the tasks related to warehouse management. Cognitive automation can automate the entire process making sure that all the warehouses are safely managed.

Retail measurement: One of the biggest challenges in the retail industry is harmonizing data from different stores. Cognitive automation can help retailers enhance their data collection process to create better analytics and AI applications. Companies implementing cognitive process automation applications can establish global standards at the local level.

Handling batch operations: Batch operation is an integral task in the banking and finance sector, but it is also one of the most challenging tasks. Failure to ensure timely processing of the batch operations can have grave consequences. Cognitive automation can help organizations monitor these batch operations to ensure they are processed in time.

Customer onboarding: Most B2C businesses have a customer onboarding process that is critical to reducing churn and convincing the customers to start using the products or services. Through OCR and cognitive automation, most customer onboarding actions can be resolved instantly. Even companies that rely on legacy systems can implement this technology to improve customer experiences.

Manage telecom reports: In the telecom sector, the userbase is in millions, so, it is challenging to manually handle the database. Cognitive automation can directly access the customers queries based on their inputs and then provide a solution. Even if the queries include a new connection, renewal of connection, and technical issues, and change of plans.

Intelligent document processing: There are various use cases for handling scanned documents that need manual processing one by one. The processors must retype the text or use standalone optical character recognition tools to copy-paste information from a PDF into the system for further processing. Implementing cognitive automation enables the processor to make decisions based on extracted and persisted information.

Accounting: Accounting departments vastly benefit from cognitive automation The accounting teams can automate the invoicing process by programming the software bot to receive the invoice information. The software bot can also mimic the role of a human by opening a mail, extracting the information from the invoice, and copying it into the companys accounting system.

Managing IT infrastructure in manufacturing: Modern-day manufacturing involves a lot of automation in its processes to ensure the large-scale production of goods. It also keeps the cost to a minimum to meet the demands of the customers. This technology can also manage software issues without human supervision or interference.

Handling logistics operation: One of the worst things that can happen while handling a logistics operation is facing delivery delays. This attracts trouble from both the end-users and sometimes from the management officials. In case of any failures or issues in this department, cognitive automation can solution check and resolve the issue in no time.

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Top 10 Cognitive Automation Applications for Businesses in 2021 - Analytics Insight