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Top 4 use cases for RPA in supply chain and logistics

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PureSoftware
Top 4 use cases for RPA in supply chain and logistics

Robotic process automation (RPA) software is rule-based Automation that uses software bots to imitate user interaction at the UI level and execute the same operations at a much quicker pace minimizing error. RPA solutions have pioneered streamlining processes, accelerating performances, and significantly reducing operational costs by overcoming hurdles such as delays, productivity loss, and inefficient process challenges.   

RPA solutions for the supply chain are rapidly emerging as they automate various functions with extreme precision. There are many repetitive processes in the supply chain and logistics sector, including storage, transportation, and delivery which can be streamlined and automated by RPA.  

Here are 4 most relevant use cases for Automation in the supply chain and logistics space: -  

  1. Efficient and Proactive Inventory Management: - Inventory control acts as a pivot for the Supply Chain process. RPA bots can help create resilient and responsive supply chains by: -           
  • Keeping track of inventory and notifying beforehand when levels are low. When fresh shipments are required, RPA can take on an employee's role by ordering new shipments in real-time.  
  • Bringing Automation in the time-consuming and error-prone process of manually tracking products as they travel through warehouses. RPA supply chain management uses software robots to optimize the entire inventory from the receiving end to shelves, manufacturing, and shipment.  

     2. Predictive Analysis: - Automation can be invoked to forecast inventory                   requirements.  

  • RPA can replace the manually performed tedious and error-prone data analysis process by collecting and merging vital information, preparing datasheets for human Analysis, and sharing it with planners.   
  • RPA can further evaluate subtleties and patterns in vast amounts of data and consumer purchasing behavior. The findings are subsequently presented in a comprehensive report, which helps create more accurate projections in less time and with fewer resources.  

     3. Freight Management: An efficient and scalable freight management                       process can be accomplished by automated chatbots. These chatbots are               designed to handle information transmission during load matching, making it           easier for brokers to match cargo with a carrier to carry it. Other elements of           freight management, such as route optimization, freight accounting, and                 freight claim management, can benefit from RPA in the supply chain 

     4. Invoice Management: - Automation in the supply chain can make it easier             to handle invoice documents from vendors and suppliers while reducing the             possibility of error. RPA automates processes like extracting information                   from invoices and evaluating and verifying data, reducing manpower while               ensuring bills are handled correctly.  

PureSoftware is a prominent RPA solutions provider having extensive expertise in deploying RPA solutions. Our dedicated RPA Center of Excellence (CoE) positions us as frontrunners in the rapidly changing field of Automation. Connect with our RPA team now.

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