Building the ROI Case for Demand Planning
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?
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?
This blog discusses how utilizing a semantic parsing method can help a less experienced user transform their data questions into advanced database queries, and how it can help detect errors in datasets.
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.
Despite all the bad news regarding container ships stacked up at ports, pandemic related labor challenges, and chip shortages, there have been a few bright spots regarding the supply chain. The general ideas around vision, technology, and sustainability apply to all of us.
As more and more individuals utilize supply chain software, there is a need to simplify its usage. The next step in evolution can be Natural Language Processing (NLP) where the user expresses a desire in plain language, and the software translates it to queries in the background. This and other use cases such as the automation and analysis of content have made NLP an area of prominent growth.