Accelerating Supply Chain Processes with Next-gen Technologies
Cognitive and disruptive technologies like artificial intelligence, RPA, 3D printing technology, drones, and predictive analytics are steadily transforming supply chain processes. These technologies enhance collaboration between stakeholders, automate inventory and warehouse operations and generate real-time insights for better decisions. Read this blog post to explore how next-gen technologies are accelerating supply chain processes.
Traditionally, the focus of supply chain management was on streamlining logistical operations. Today’s supply chain management is about enabling advanced planning, operations planning, and demand forecasting. According to a Gartner Survey (2018), 96% of the supply chain leaders use predictive analytics, 85% use prescriptive analytics and 64% use artificial intelligence.
Technologies that are Transforming Supply Chain Processes:
The Role of the Internet of Things (IoT) in Supply Chain
IoT enabled smart devices are effective at tracking and authenticating products and shipments using GPS and other technologies. IoT increases the reliability of supply networks by optimizing asset utilization. Here are the key benefits of IoT in the supply chain:
Forecasting and Inventory: IoT devices enable the tracking of inventory including supplies in stock and evaluating future requirements. They provide accurate inventory levels so decision-makers can better plan sourcing and manufacturing activities. For instance, Amazon uses WiFi robots to scan QR codes on its products to track and triage orders
Asset Tracking: Tracking barcodes and numbers is now a standard method for managing goods throughout the supply chain. Manufacturers use IoT sensors to generate granular insights like since how long products were in cargo, what was the temperature at which the item was stored and how long it took for products to fly off the shelf. With such data, businesses gain better control over product quality, on-time delivery, and product forecasting.
Scheduled Maintenance: Businesses can use IoT sensors on their manufacturing floors to manage the plan and predictive maintenance of products. It also prevents downtime that can cost much.
Oodles ERP provides end-to-end customized supply chain development services that enable businesses to monitor and manage their inventory accurately.
Robotic Process Automation (RPA) in Supply Chain:
RPA in the supply chain enables businesses to reduce costs, minimize transaction times, increase productivity and improve compliance. It also enables businesses to experience a significant improvement in order quantity and order fulfillment accuracy.
Key Benefits of RPA in Supply Chain:
*RPA eliminates the possibilities of human error and duplication in the supply chain, resulting in higher quality outputs and streamlined processes.
*It reduces administrative overhead, lowers staffing costs and streamlines supply chain processes
*RPA can boost ROI by bridging the gap with suppliers
*RPA automates supply chain processes that were carried out manually to reduce anomalies and errors
Our ERP development team at Oodles has experience in building RPA solutions that enable companies to replicate human interaction with various business applications. We have the skills set to develop, design and implement RPA solutions.
Artificial Intelligence in Supply Chain:
Market research firm IDC reveals that by 2020, 50% of businesses will use artificial intelligence for planning and execution of supply chain processes. The main purpose of AI and supply chain integration is to create a fully automated and self-adjusted decision-making system. For a widespread supply chain uptake, combining pattern capabilities with advanced prescriptive capabilities is important.
Key Benefits of AI in Supply Chain:
*Integrating AI in the supply chain enables businesses to accurately predict demand spikes and adjust the volumes and routes of material flows.
*AI can streamline procurement tasks with automation and augmentation mechanisms
*An AI-powered supply chain enables stakeholders to track data, detect anomalies and generate predictions to improve supply chain operations.
