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Why manufacturers should integrate business intelligence tools into their ERP software

SYSPRO Smarter ERP

Manufacturers rely on data and their ERP platform to answer critical questions: What are our inventory levels? How much does it cost us to manufacture this product? The power of business intelligence for manufacturers. Mid-market manufacturers need a tool that’s tailored to their needs.

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Network Investment. Defining the ROI.

Supply Chain Shaman

In this research, 81% of brand owners and contract manufacturers primarily depend on communication through email and spreadsheets. Approximately 32% of manufacturing, across industries, is outsourced. These flows are one-to-one– focused on sharing a singular flow of information– lacking a system of record.

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How manufacturers can use ERP to improve the procurement process

SYSPRO Smarter ERP

Disruptions like the pandemic, supply shortages, global trade barriers, high customer expectations and inflation all add tremendous pressure on the procurement process. According to SYSPRO Research 70% of manufacturing businesses experienced material handling and supply chain disruptions during the pandemic.

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How Manufacturers Can Leverage AI & Analytics For Strategic Decision-Making

Silvon Software

Across the globe, manufacturing businesses are navigating economic uncertainties with increasing sophistication. This underscores the need for a unified approach to data management that transcends traditional departmental barriers, incorporating advanced technologies such as artificial intelligence (AI) and advanced analytics.

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How One Manufacturer Used GEP SOFTWARE To Save $45M in Direct Material Sourcing

For global manufacturers, managing direct and indirect material spend can get very complicated very quickly. Multiple legacy systems prevent procurement from standardizing processes and tracking what they’re spending with each supplier.

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Manufacturing Day 2023

Enterra Insights

One of the clearest lessons learned during the pandemic was the importance of domestic manufacturing. As global supply chains snarled and essential products became hard to find, many domestic manufacturers pivoted to make up shortages. The importance of manufacturing has often been overlooked as the U.S.

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5 Models of AI for Supply Chain Risk Management—And Why They Matter

Resilinc

In this blog, we explore the different types of predictive AI models for supply chain risk management. Currently, Resilinc uses several predictive AI models in tracking purchase orders (POs) and commodities, autonomous mapping, risk-scoring models, and simulators. How does Resilinc use regression models?

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Supply Chain Network Design: The Ultimate Use Cases eBook

Explore the most common use cases for network design and optimization software. This eBook shares how supply chain leaders leverage their supply chain design software to tackle a variety of challenges and questions. Modeling your base case. Modeling carbon costs. Diversifying sourcing and manufacturing.