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CAMELOT Consulting Group
CAMELOT Management Consultants are specialists for value chain transformation and industry experts in the process, consumer goods and industrial manufacturing sectors. As a global leader in Value Chain Management, we transform value chains into a sustainable competitive advantage. Read in this blog about current trends, innovative concepts and the latest findings in Value Chain Management.
How Value Mining helps to successfully drive intelligent automation in procurement Looking at our client base and beyond, process mining proof …
read morePeople’s emotions are the forgotten part of digitalization. Technology alone won’t decide about your company’s success, but the …
read moreIn less than a week, the 2020 US presidential election will take place. No matter who becomes the next US president, the …
read moreHow a parameter-driven value chain drives transparency, flow and planning quality In the previous article, we have introduced the benefits of …
read moreHow does a parameter-driven value chain work and what are the benefits? In our first article, we argued that a parameter-driven …
read moreHow a parameter-driven approach to value chain planning helps to solve the planning riddle While the fully autonomous, AI-driven value chain …
read moreWhile the growing availability of data provides the potential for greatly increased quality and efficiency in controlling, effectively using this opportunity …
read moreInnovative technologies are affecting the logistics business more than many other businesses. The key to success is to identify the right …
read moreVisibility in today’s logistics is an issue on the agenda of every supply chain manager. The following use case illustrates a …
read moreTailored services, SKU proliferation, lot size one – does that sound familiar? If it does you’ve either already segmented your supply …
read moreWe provide you guidance through the jungle of technical innovations in logistics and digital warehousing. This article provides insights about a …
read moreWorking with large amounts of data not only opens up new opportunities for organizations, but also entails new risks. For example, …
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