Magistral Consulting

Introduction Because it is impossible to foresee the outcome of an uncertain occurrence, commodity intelligence entails lowering uncertainty by regulating risk variables. To effectively manage commodities risks, however, a clear perspective of the status of the business and the risks associated with it is needed, as well as a suitable risk management framework with the right people and the necessary tools. Pricing, supply, and demand instability in commodity markets directly and significantly affect the company’s procurement budget, ability to save money, and overall profitability. The problem is that many commodity markets are incredibly volatile. Monitoring commodity price predictions and trends are integral to procurement teams’ and organizations’ strategic plans. It enables them to make data-driven planning and choices, foresee pricing-related risks, and manage suppliers proactively while avoiding supply chain disruption caused by price fluctuation. Commodity price risk refers to t...

  Introduction to Supply Chain Analytics The application of high-level insight gained from an organization’s data at multiple stages in its supply chain, procurement and processing, inventory management, distribution, and beyond is known as supply chain analytics. This analysis technique is essential for conveying a complete story concerning operational processes and laying the groundwork for initiatives to automate and optimize logistical operations. It can aid businesses in improving and optimizing overall effectiveness and efficiency in their supply chains in many ways. Data collected throughout all touchpoints of the said supply chain, from sourcing and manufacturing to shipping and customer support, is used in supply chain analytics. This information is then used to make crucial operational choices like purchasing, scheduling, holding, carrying ability, and staffing, among other things. Analytics usually refers to the ability to make data-driven decisions based on a review of ...