The Ledger
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Tag Archives: supply chain analytics
Industry Week: The Complex Choreography of Supply Chain Resilience
May 7, 2021
“Building a resilient supply chain requires precise forecasting, the ability to rapidly adapt to short-term situations, supply chain flexibility, and being able to detect problems at an early stage. These capabilities must be captured in processes that rely on decision-making based on data available any time, any place.”
CFO Journal: What Are Your Supply Chain’s Weakest Links?
March 29, 2021
Duties that CFOs are having to take responsibility for in relation to their company’s supply chain have been on the rise after a year of an unpredictable supply chain. Here are some things that will take precedent so that CFOs can keep up and prepare to identify critical bottlenecks and prepare for long-term disruptions:
- Supporting the supply chain function
- Improving supplier data collection
- Upgrading metrics
- Creating a playbook
Industry Week: Seven Strategies for Creating Business Resilience
February 5, 2021
Key strategies to prepare for “unpredictable supply chain disruptions”:
- Plan for the Worst-Case Scenario
- Leverage Integrated Systems and Technology
- Improve Inventory Visibility and Flexibility
- Establish Robust Forecasting and Planning Processes
- Establish Flexible Manufacturing Processes
- Reduce Lead and Cycle Times for Fulfillment and Replenishment
- Drive Continuous Improvement and Innovation
Your plans useless but you’re still planning
May 30, 2020
“Planning in such highly uncertain times must focus on the ability to quickly and flexibly react to fast changing circumstances. Doing so effectively, requires that the company has thoroughly mapped its supply chain, including the physical locations of its suppliers’ plants and warehouses, so it can quickly identify which of its products might be affected by a shutdown at any of the suppliers’ locations.”
From Uncertainty to Agility
May 17, 2020
“The COVID-19 crisis has highlighted the need for sophisticated, institutionalized risk management, including real-time scenario planning, business continuity planning and “sense and respond” capabilities. In the aftermath, we will likely see greater flexibility in network capacity, more local and multi-sourced supply, and multi-skilling of employees.”
CFOs Need Models to Understand How Shifting Customer Needs Affects Resources
April 13, 2020
“One of the quirks of the downturn in retail has been an increase in shirt sales while pant sales have dropped, presumably because people participating in video conferences while working from home are paying more attention to their appearance from the waist up. Whatever the reason behind the trend, CFOs can model that kind of change to justify a shift in how resources are allocated within the business. But to pay off, the modeling has to be done in as close to real time as possible. ”
How Agile Technology Drives Supply Chain Innovation
October 3, 2019
Change and uncertainty are inevitable in manufacturing. While effective production planning can support manufacturing processes, there will always be uncontrollable factors that are difficult to manage. Manufacturers are dealing with an increased pressure to meet customer demands quicker and more cost-effectively. Visibility of where manufacturers are within the production process is a key driver and control for an organization. Companies that have a detailed overview of every step of the production process are enabling machine integration with business applications. Without this integration, there is potential for reduced machine utilization, less effective enterprise resource planning, reduced consistency in product quality, and failures in many business performance fundamentals. The right technology enables agile and responsive supply chain management.
Read More at The Digitalist by SAP >
Why Intelligent Spend Management Matters
September 30, 2019
Traditional tools no longer meet expectations for finance leaders who need an end-to-end platform that delivers real-time information for decision making. As businesses continue to grow and become more complex, intelligent platforms are increasingly necessary to derive true value from data. Supply chain leaders today struggle with the complex task of managing expenditures across global organizations with traditional tools that don’t provide a consolidated view across spend categories. A strategic, intelligent approach to spend management allows for a unified view across the supply chain – which is needed to make informed decisions about future purchasing strategies. Intelligent spend management has the capacity to transform any organization’s data into information that becomes a source of ideas and plans that can be used to grow the business.
As businesses continue to grow and become more complex, intelligent platforms are increasingly necessary to derive true value from data. In this transformative landscape, AI-powered task management plays a pivotal role. By automating and optimizing task workflows, it ensures that resources are allocated efficiently across the supply chain. With real-time insights and predictive capabilities, it empowers supply chain leaders to make data-driven decisions about future purchasing strategies.
Task management based on AI doesn’t just streamline day-to-day operations; it also transforms data into actionable information. By intelligently assigning tasks, monitoring progress, and providing instant feedback, it fosters a culture of continuous improvement. This approach not only enhances efficiency but also becomes a source of innovative ideas and strategic plans. In essence, AI task management becomes the driving force behind the intelligent spend management process, helping organizations unlock the full potential of their data to fuel business growth
Read More at The Digitalist by SAP >
