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Why Procurement Management Tool is a Must for Efficient Purchasing

Precoro

Procurement is a complex and dynamic process involving strategic planning and several stages of execution, from sourcing to paying and reporting. Supply chain management, purchase requisitions and orders, budget management, and three-way matching – all these processes are integral to procurement as a whole.

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Top 5 KPIs for Purchasing Managers

Precoro

The purchasing department plays a critical role in the success of an organization. Thought-out practices and well-managed workflows within the purchasing department are crucial for making sure that the company has the necessary resources available at the right time and at a reasonable cost.

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The One Key Shift in Your Supply Chain and Procurement Strategies that can Drive Better Business Continuity and Resilience

Logistics Viewpoints

Procurement and Supply Chain Management are essential functions that can help companies navigate these challenges, but they are often siloed and operate in separate departments. Their metrics are often misaligned as well – supply chain focuses on service and procurement focuses on the cost of acquiring materials and services.

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Navigating the Future: How Advanced Supply Chain Analytics is Transforming the Industry

ThroughPut

is advanced supply chain analytics. Advanced supply chain analytics is turning the current uncertainty into strategic foresight. In this blog, we’ll delve deeper into the potential of advanced supply chain analytics and understand why it is the need of the hour.

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Supply Chain Analytics: Benefits, Challenges & Architecture

SCMDOJO

Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?

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Pandemic Lessons For Supply Chain Leaders

Supply Chain Shaman

Next Steps: Start to model demand based on market data to align the organization on baseline demand. Resist the temptation to place deeper analytics on top of existing data models. Instead, rethink the model and the approach. Out of desperation, they turned to the use of descriptive analytics. Next Steps.

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AI in the Retail Industry: Benefits, Case Studies & Examples

ThroughPut

The Evolution of Retail Supply Chain & Logistics: A Pre-AI Overview In the pre-AI era, the retail sector was markedly different, especially since the traditional supply chain and logistics models were largely driven by manual labor. Such detailed analytics also reduce retrieval times for faster order processing.