Tag: supply chain analytics

In today’s complex global supply chain landscape, accurate forecasting is crucial—but it’s not enough on its own. Organizations have invested in building advanced analytics and Machine Learning (ML) capabilities to improve forecast accuracy and drive optimal inventory. Despite these extensive efforts, the inventory-to-sales ratio has been increasing since 2021, reflecting that organizations have been overstocking […]

In the fast-paced world of supply chain management, where economic shifts and evolving customer demands create constant pressures, efficiency and adaptability are essential. Organizations are increasingly seeking automated solutions to reduce manual processes, enhance efficiency, and improve overall performance. As previously discussed, the AWS Supply Chain solution provides the benefits of increased visibility and actionable […]

Introduction  Supply chain agility is essential for organizations to remain competitive. Consumer demands, new technologies, and economic conditions can disrupt the balance between supply and demand. Supply planning, or accurately estimating the quantities of products, raw materials, or components needed to meet customer demand, represents one key supply chain challenge. Effective supply planning helps organizations […]

Previously we argued that, given the world’s current turbulence, many businesses have few alternatives but to modernize their supply chains (SC) in preparation for the future. However, what exactly does modernization entail? What are the common themes for SC modernization? How do businesses in different industries approach these themes? What cloud solutions are useful? This […]

We observe that executives trying to obtain an end-to-end view of their company’s supply chain are often faced with a landscape mostly covered in fog – an incomplete, fragmented, and sometimes incongruent picture of what is occurring. Data may reside in disconnected, siloed systems, and many processes, such as external logistics or the current state […]