Management of the logistics industry is central to the progress of the global commerce industry. However, the sector requires efficient management and a seamless operational structure for the timely deliverables of goods and services. Against this backdrop, global logistics companies across industries are implementing Robotic Process Automation (RPA) solutions to enhance operation, cost-efficiency, and rising cash flows.
Hence, it is evident that operational logistics efficiency plays a crucial role in maintaining an organization’s delivery timelines, profits, and success. This is where the significance of RPA in logistics becomes highly demanding.
RPA is a rule-based solution that is meant to accomplish pre-determined tasks automatically. As it is a software-based platform, it can perform manual, replicable, and high-volume data tasks without the intervention of any human force.
Business endeavors in the logistics industry rely highly on back-office operations such as scheduling a delivery, updating customer details on web portals with current load status and ETA, etc. By implementing RPA, primary business actions can become less tedious and repetitive, enhancing operational logistics efficiency and economies of scale. Hence, the logistics department can be effortlessly customized besides boosting efficacy.
RPA increases logistics and transportation industry operations by:
RPA can reshape the business processes by augmenting the logistics value chain efficacy. To illustrate this, let us consider some of the significant RPA use cases in logistics.
Order management: Order processing is inundated with high volumes of paperwork, which results in errors, delays in processing sales orders, and dissatisfaction among customers. Integration of RPA in logistics helps the company to transfigure the business with extremely coherent operations like order bidding, and scheduling to final approval.
Invoicing and payments: Automated billing operations help reduce operational costs and transform the entire process, from invoice creation and payment to reporting. The application of RPA enhances the cash flow, thus making sure of timely payments.
Shipment tracking: Labor and shipment costs are significantly reduced with the implementation of RPA. RPA helps automate manual tasks, provides accurate shipment details, tracks information, and helps streamline order fulfillment.
Demand and supply planning: Are you dealing with stock-outs and lack of visibility in your supply chain? Implementation of RPA in supply chain cuts down expenses with a cohesive inventory management system by assessing customer needs and providing real-time information on inventory levels.
AssistEdge, an enterprise-grade automation platform by EdgeVerve, works with global logistics enterprises to transform and upgrade the logistics value chain through supply chain automation.
For instance, a US-based logistics company observed that frequent delays in order delivery status updates led to higher Days-Sales-Outstanding and Days-to-Bill metrics.
With AssistEdge, they were able to streamline the order management process and significantly improve the overall cash flow. Read to know how AssistEdge helped the client reduce annual days sales outstanding by $2.5 million.
Considering the numerous benefits of logistics automation, the global trade market will flourish with many growth avenues in the coming years. These future growth possibilities can be attributed to the increasing demand from the logistics industry to improve warehouse productivity and profitability and reduce operational costs. Besides this, the global logistics automation market is likely to witness massive prosperity due to other variables involving increased economy, consumer purchasing trends, and a significant rise in disposable incomes. However, although RPA in the logistics and transportation sector is boosting efficiencies and collaborations, it still requires some time before the advantages kick in fully.