Demand Patterns Inside a Period
Demand forecasting is often done in planning buckets such as months or weeks. But what about the pattern of demand inside a period? Whatever pattern it is, a demand planner should strive to understand it.
Demand forecasting is often done in planning buckets such as months or weeks. But what about the pattern of demand inside a period? Whatever pattern it is, a demand planner should strive to understand it.
A lot of projects propose to deliver ROI through lower levels of inventory. Servicing the demand at desired service levels with lower inventory should save the company some money. But how, exactly?
Is there an equivalent to the Hippocratic Oath for forecasters? What harm(s) can a forecaster easily avoid? This blog explores some examples.
Businesses spend a lot of time and money in improving their demand planning. However, the ROI is not always forthcoming. How much is a 1% improvement in forecast accuracy worth to the business?
When engaging in capacity planning, it is important to consider the product mix and seasonality of your business to ensure an effective and accurate outcome.
Industry analysts, big-time consultants, and your peers are all talking about technology, digital transformation, and the future of the supply chain. It can seem like a lot of noise given the day-to-day pressure you feel while working to ensure that inventory is on hand and positioned where it is supposed to be. With all you have on your plate, are you aware of the signs that it is time for a change?
If one is going to forecast demand into the future, it would make sense to get as true a picture as possible. For that, starting with historical demand would be the obvious choice. Choosing this data as the basis for forecasting would ensure the best possible projection out in the future.
Arkieva prides itself on providing some of the best in supply chain thought leadership. Over 300,000 individuals read our blog articles in 2021. The volatile nature of the supply chain today drove our readers to educate themselves on practical actions they can take to remain competitive.
We are excited to announce that we are rebranding Arkieva to fuel growth, strengthen our position in the market, and continue to be a recognized leader in the supply chain industry. Over the past few years, we have been relentlessly focused on solving the most complex planning challenges through simple, intuitive, end-to-end solutions leveraging our best-in-class data scientists, software developers, and supply chain optimization consultants.
Our focus in this blog series has been to establish forecast accuracy targets. In very general terms, the goal should be to add value to the business through the forecasting process. We have however focused on the forecast value add and using that to create a minimum acceptable forecast accuracy target in the previous blog. Now we will take that a step further and talk of ways of improving it.