Survey Says: Modernize Your Supply Chain IT
It seems we are always reinventing ourselves to meet the latest challenges. Often the solution comes down to managing people, process, and technology.
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- March 22nd, 2022
It seems we are always reinventing ourselves to meet the latest challenges. Often the solution comes down to managing people, process, and technology.
We know how to deal with structured data but working with unstructured data might be a bit more time consuming and challenging. There are multiple solutions that NLP offers to transform your unstructured enterprise data to structured data.
Successful management of inventory is a hot topic in supply chain management. While it's easy to measure, the cause may be complicated to uncover.
In today’s highly globalized economy, no country can remain isolated or insulated from the outside world. The world is so interconnected that one hiccup can cause a myriad of issues downstream.
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.
Senior leadership engagement, business process analysis, and proper communication ensure a successful supply chain transformation.
With the new year comes pundit “prediction season”. It seems that anyone who can type will post their list of things to look out for. It’s human nature to look ahead and anticipate what may be. We all look back to look forward – just like a good demand forecast does. And if you think about it, most calendar-year business plans are in truth, predictions about the year to come.
Circularity, in the form of re-use, is not really new as a business model. Look at Goodwill, Habitat For Humanity’s Re-Store, and countless local consignment and thrift stores. eBay, Etsy, and Facebook Marketplace provide an online forum to convert one person’s trash to someone else’s treasure. A quick trip to the post office and the deal is sealed. Waste averted.
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.
These “key tools” balance a need for simple with a need to handle the complexity of SCM – following the IBM adage – complexity exists whether you ignore it or not, best not to ignore it.
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