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Dispelling Untruths: 10 Generative AI Myths

Logility

AI has presented challenges and opportunities for business leaders seeking to leverage its potential across their organizations to improve efficiency and increase profitability. Myth 8: Generative AI is immune to biases present in training data Generative AI produces predictions based on its training data.

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Building a Triple A Supply Chain: Ten Tactics That Work

Supply Chain Shaman

We consistently see that companies focused on functional excellence–a focus within a functional silo like manufacturing, transportation or distribution– or singular metrics– like inventory or costs– underperform against their peer groups. In our monthly webinar last Wednesday, I presented these results.

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Supplier Performance Management – The Ultimate Guide

SCMDOJO

The biggest challenge is that simply offering metrics, even those that appear to be the “right” metrics, usually doesn’t produce any results. The questions that are most often asked are: What metrics should I use? What metrics do others (in my industry) use? Where do I begin?

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CSR Initiatives in the Global Supply Chain

The Logistics & Supply Chain Management Society

The overarching rule that all actions taken are meant to meet the needs of the present society without compromising future generations’ ability to meet their own needs, is a key driver. The Group’s sustainability policy is based on three pillars: Acting for People, Acting for Planet and Acting for Responsible Trade. Acting for People.

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Blog Series: The Ultimate Guide to Supply Chain Resiliency, Part 4 – Institutionalize

Resilinc

Institutionalizing is when the support of your stakeholders and C-level leaders deepens because they see the SCRM program is achieving its metrics. The key to Institutionalizing your SCRM program is achieving ongoing successes as measured by the metrics agreed to in the Plan—and ensuring that leaders and stakeholders validate these successes.

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Overcoming The Barriers to Use Channel Data

Supply Chain Shaman

Over 90% of companies have a corporate social responsibility policy, but there is no inertia to move to outside-in processes to decrease landfill and waste. The range depends on sales velocity, replenishment policy, and shelf assortment. Market Shifts by Industry Sector. Surprisingly, I do not see companies adapting to the new normal.

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Best AI Tools for Supply Chain and Logistics: The Ultimate Guide for 2024

ThroughPut

Step 3 – The Metric Selection phase This phase involves identifying key metrics that will help track the actual impact of AI. The implementation of AI tools in the supply chain will surely present certain challenges. Step 2 – Data Checking phase This phase involves focusing on data quality. Read it all here.