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Fashion Industry Challenges Require Elegant Demand Planning

ToolsGroup

When you’re perusing luxury handbags online, or testing which cocktail dress suits you the best, you probably don’t pause to consider all the supply chain complexities and analytics required to ensure the fashion items you’re craving are in-stock. Demand planning for direct and indirect channels.

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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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What is Demand Planning? [Ultimate 2023 Guide]

Unleashed

The onset of COVID and the rapidly changing environment of a pandemic-hit world has meant demand planning has become more difficult – and as a result, more critical – than ever. What is demand planning? Demand planning is the process of predicting what customer demand will be for a certain product.

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Editor’s Choice: What Supply Chains Must Overcome to Deliver on the Consumer Promise

Logistics Viewpoints

Lower-income consumers and those using food assistance programs care the most about food waste as a purchase driver—again, suggesting it is a response to higher prices.” The same “If” statement was repeated for a host of financial and operational metrics.

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17 Key Inventory Metrics & KPIs for 2023

Unleashed

The last of these can be achieved by tracking the right inventory metrics, analysing the results, and making data-driven optimisations. So, what are the ‘right’ inventory metrics, and how do you calculate them? In this inventory metrics guide What are inventory metrics? What are KPIs for inventory?

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The 12 Warehouse KPIs You Should Be Tracking Right Now

Unleashed

Efficient warehousing is all about knowing what’s working, what’s failing, and what can be improved. When you measure and analyse the right warehouse KPIs, you can make better-informed business decisions based on real data. That’s why, with so many possible variables to track, it’s critical to know which metrics matter most.

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The Top Five Benefits of Using Machine Learning for Demand Forecasting

Logility

Machine Learning for demand forecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Analytical processing speed and accelerated corporate learning.