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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

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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

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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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Inventory Optimisation: Tools & Techniques You Should Know

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Manual inventory control tasks are automated with the help of software tools and warehousing equipment. Inventory optimisation tools Inventory optimisation tools are essential for improving the efficiency with which your business operates. Demand forecasting software. Cloud-accounting software.

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Top 6 Retail Trends & Supply Chain Planning Challenges in 2023

Logistics Viewpoints

The increasing need for constantly analyzing these trade-offs across the supply chain networks has highlighted the need for digital twins and what-if capabilities in network design solutions. This means they are more likely to focus on value and affordability and change their priorities and brand preferences when making purchases.

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The Top Five Benefits of Using Machine Learning for Demand Forecasting

Logility

Stakeholders who care about forecasting in demand planning care about accuracy, and usually will not accept a new forecasting method unless it is rigorously validated against known forecasting benchmarks with proven accuracy. In this way, forecast accuracy trends can be leveraged in adjusting demand planning.