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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week, at the Gartner Supply Chain Summit in Orlando, that many will don their Mickey ears to discuss what I consider outdated supply chain planning models. How can I improve the process of software selection?

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L’Oréal: A Case Study in Supply Chain Excellence

Supply Chain Shaman

At the Supply Chain Global Summit 2018 , Francois discussed the impact of digitalization, Industry 4.0, and L’Oréal’s approach to business that has allowed the company to continuously rank as a Supply Chains to Admire winner for four consecutive years. Supply Chains to Admire Methodology.

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Make Room for Leadership to Drive S&OP

Supply Chain Shaman

If you have walked in the shoes of the supply chain leader, you are probably laughing by now. In the work, I listen to existing processes to provide feedback, ideate with the team on potential improvement, share advice on the fit of technologies, and network leaders to leaders to gain additional insights. Sounds easy, right?

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

ThroughPut

Exploring the world of AI tools for supply chain and logistics can be quite overwhelming. That’s why we put together this guide – to help you get a glimpse of the best AI tools for supply chain and logistics, how to implement these tools, what to take care of and more.

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Unilever Supply Chain: Lessons Learned on Digital Transformation

RFgen

Unilever strategic supply chain sets them apart from the rest and gives them the agility to process over 25 million customer orders annually, generating an annual revenue of $74.14B. Technological Innovations : Utilizes Kinaxis’s Rapid Response for integrated supply chain planning across its global operations.

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AI in the Food Industry: Case Studies, Challenges & Future Trends

ThroughPut

Whether it is optimizing supply chains to reduce waste or adopting smart agriculture practices to improve yield, AI impacts efficiency, personalization and sustainability. Food Production AI tools can drive advanced predictive analytics with precision forecasting for weather and crop yield predictions. billion in 2024.

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How Food Manufacturing Software Drives Profit [w Case Studies]

Unleashed

Cost reductions in food manufacturing can be achieved by using food manufacturing software that improves ordering processes and minimises overstocking of expensive raw ingredients. The right software will also improve operational processes, boost warehouse efficiency and reduce waste. Working with fresh food.