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Thoughts. Selecting Supply Chain Software

Supply Chain Shaman

I find that most companies’ understanding of supply chain planning is immature, and that next week, at the Gartner Supply Chain Summit in Orlando, that many will don their Mickey ears to discuss what I consider outdated supply chain planning models. Business leaders see the open sharing of feedback on software as too risky.

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The Supply Chain Merry-Go-Around

Supply Chain Shaman

Logility, a conservative company supply chain planning technology, historically had no debt and cash reserves of more than 80M, is undervalued in this deal. Aptean is orchestrating the Blue Yonder/E2open/Infor playbook of buying undervalued assets and milking the maintenance and Software-as-a-Service contracts with existing customers.

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Probabilistic Forecasting: The Future of Supply Chain Planning

ToolsGroup

Traditional supply chain planning tools rely on deterministic forecasting, generating single-point estimates that often misrepresent real-world complexities. However, this approach ignores real purchasing behavior, such as customers buying complete sets of four tires.

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Implementing Last-mile Delivery Technology

Logistics Viewpoints

Technology for All In a retail era dominated by e-commerce giants, customer expectations have shifted towards instant product delivery at no cost. To meet these demands and ensure superior delivery experiences, retailers and carriers must leverage last-mile delivery technology.

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The Future Of Retail: Technologies Enabling Q-Commerce Growth

Logistics Viewpoints

Millions of shoppers, like my Dad, are not going back to their old habits because there are now faster and more convenient ways for buying daily household needs. It excels on a union of E-Commerce mobile apps and last-mile delivery innovations. It is now possible for Q-commerce companies or retailers to use this model.

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Top Supply Chain Challenges for CPG companies in 2023

Logistics Viewpoints

End-to-end supply chain visibility, planning, and execution support software are critical in agile supply chain performance. The classical approach involves functional silos, sequential decisions, and Excel and people to render a plan executable. each with discrete plans generated typically in sequential batch runs.

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Machine Learning in Demand Planning: How to Boost Forecasting

ToolsGroup

Beyond simply improving forecast accuracy, todays ML-powered demand forecasting software uncovers hidden supply trends, anticipates pricing fluctuations, and enables proactive supply chain planning decisions. According to McKinsey , organizations implementing AI-driven demand forecasting solutions can reduce forecast errors by 30% to 50%.