You’ve likely heard the news that the Google DeepMind “AlphaGo” computer not only beat a human expert at the game of Go, defeating the European Go champion, Fan Hui in five straight games, but also beat the reigning world champion grandmaster, South Korea’s Lee Sedol, 4 games to 1. Go
Search Results: demand forecasting (165)
Preparing for Christmas now may seem extreme to the everyday shopper – but that’s exactly what retailers are doing. Getting a head start will take the pain out of the busiest retail period of the year and deliver a degree of predictability in an otherwise unpredictable year. In the heat
Over the course of my career as industrial engineer turned supply chain planning advocate I've had the opportunity to work hands-on with many manufacturing and supply chain planning solutions. This has included solutions offered commercially by the usual suspects of ERP and post-SCM consolidation supply chain solution providers. Most of these
There are four key areas that require continuous investment in order to become demand-driven: people, process, analytics, and technology. However the intent of your demand forecasting process along with business interdependencies need to be horizontally aligned in order to gain sustainable adoption. Adoption alone doesn't necessarily mean it will be sustainable. As
I realized a little while ago that I may have more loyalty cards and memberships than the average person. (And that I more actively prove my loyalty than the average person). But as anybody who has ever signed up to a mailing list or for a store card knows, having
The real reason companies cleanse the historical demand is that traditional forecasting solutions were unable to predict sales promotions or correct the data automatically for shortages, or outliers. To address the short comings of traditional technology, companies embedded a cleansing process of adjusting the demand history for shortages, outliers, and
Profitable growth is at the forefront of manufacturing executives’ minds¹. The math is simple: increase revenue and decrease costs. Easy, right? Unfortunately, getting there isn't that simple. The good news is that analytics can help. The better news is that there’s a new place for manufacturers to discover analytic best
I was recently asked by a customer if they should move the responsibility for creating the statistical baseline forecast. They were considering moving it from their regional country offices to their global headquarters. In addtion, they were considering changing the role of their regional demand planners to only make adjustments to
Downstream data have been electronically available on a weekly basis since the late 1980s. But most companies have been slow to adopt downstream data for planning and forecasting purposes. Let's look at why that is. Downstream data is data that originates downstream on the demand side of the value chain. Examples
Capital investment in production capability is the weakest link in the business value chain. It always has been and likely always will be. It’s the driving force behind the tendency towards cartels, collusion and monopolies. While it can make the first entrant into a brand new market, in the long