For supply chain operations, there are two crucial objectives – ensuring operational standards and eliminating operational inefficiencies. With the usage of operational data and the knowledge of data analytics, it becomes easier to track the changes and hence it helps any organization to achieve operational excellence in supply chain management. Solving inefficiencies and ensuring operational standards are respected by tracking any metric along the supply chain.
Real-time data sharing is essential in supply chain management
The insights that a company gathers are useful both for a logistics company and for its partners. This type of data sharing in logistics can help improve operational efficiency by capturing fluctuating customer demand, external factors, and the operations of the partners. It will enhance transparency and help all stakeholders to streamline their processes, ultimately improving the quality of operational processes, and the overall performance of the logistics business.
Performance managers transform data insights into actionable results, such as the optimization of resource consumption or delivery routes. For logistic companies, last-mile delivery processes are critical as it constitutes 28% of the total operational cycle. The companies can track and measure the KPIs like cost, value, services, and waste at regular intervals, which will increase efficiency & provide transparency in order to prevent disasters and take corrective action.Â SCIKIQ Control Tower brings you the ready formats on organizational excellence, how and what to track on a regular basis to achieve the best data view in order to improve the critical KPIs of the people and the company.
Autonomous vehicles, drones, and robots are increasingly being used for tasks such as package delivery, warehouse inventory management, and even long-haul trucking.
Another concern of the logistics industry is transportation costs. Data Analytics is used to cut delivery costs. To ship cargo, companies operate a lot of data. The companies collect data and use it to predict delivery time. The company trucks are equipped with GPS, which tracks transport locations in real-time. A wide variety of IoT devices are being used in transportation and logistics, including GPS trackers, barcode scanners, and RFID tags. These devices are helping to improve asset tracking and management, as well as driver safety.
For sorting operations in warehouses, companies are using data from cameras and sensors and feeding it into robots as they can easily identify each item and can sort products faster than a human. Logistics and supply chain data scientists can devise a smart warehouse system wherein automated alerts can be set up for warehouse temperature sensors and the temperature can then be automatically adjusted for different areas of the warehouse. Advanced analytics is applied to optimize operations in pricing, routing, and partial load shipment consolidation. All these steps together help achieve operational excellence in supply chain management.
SCIKIQ Supply Chain Control Tower for operational excellence
SCIKIQ supply chain control tower is a connected, personalized dashboard of data, key business KPIs, and key events across the organization. Know what are the key Supply chain Metrics and KPIs to monitor.
A supply chain control tower enables supply chain organizations to completely understand, prioritize and resolve critical issues in real-time. ScikIQ Supply chain control Tower enables organizations to monitor and improve key performance metrics and how business is getting impacted on a day-to-day basis.
Control Tower helps you break down data silos, reduce or eliminate manual processes, and get real-time actionable insights which empower the business executive to act fast on business decisions. Data availability aids in targeting the right set of customers, helps in retaining them and gets new customers on board. This increases the overall profitability. Book a demo with us
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