Category: Amazon Machine Learning

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 […]

Inventory management for perishable products is a challenge for many industries, such as food manufacturing, grocery wholesale and retail, and pharmaceuticals. For example, excess stock levels of dairy products, meats, fruits, vegetables, medicines, and even beer, to name a few, are all subject to expiration, “best before” dates, or important milestones in product lifecycle (e.g., […]

Unpredictable events such as the global pandemic, Brexit, the Suez Canal, and Ukraine highlight the importance for robust, stress-tested, and agile supply chain (SC) networks. Such large scale and disruptive events level the field and affect all industry players. Consequently, businesses that are quicker and more efficient to adapt to new circumstances gain market share […]

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 […]