Lead Time is an important factor in any demand-driven forecasting or retail replenishment system. It drives your order points and helps you place orders at just the right time. If your lead time is inaccurate you will quickly find yourself overstocked or understocked.
ATLANTA, July 20, 2017 – Data Profits, a mid-tier retail and wholesale demand forecasting and replenishment SaaS system, releases a new video: “P’s of Retail”. This video highlights four ideas that need focus in replenishment software for retail/ wholesale business to thrive in the digital age. Data Profits, highly popular blog has argued against several publications that claim retail ‘brick and mortar’ is dead. Explanations for the death of ‘brick and mortar’ point to the failure of retail technologies to adapt the digital age. Legacy forecasting and replenishment systems do not have the technology needed to adapt fast enough to the market shift brought in by digital technology.
What Demand Forecasting tools are needed in your Demand Forecasting software? Watch and learn in 2 minutes the questions you need to ask when reviewing demand forecasting software. SlideShare lists 3 critical things missing in 80% of inventory replenishment and demand forecasting software today. Learn how these three things react to the new internet of things world of your customer. These 3 things have contributed significantly to the record high store closings expected in retail this year, over 17,000.
Are Brick Stores Really the Dinosaurs of Retail?
When will the asteroid IoT (internet of things) change the retail landscape into a permanent wasteland? Some claim retail brick stores are a dinosaur waiting for the big asteroid IoT to hit and end it all. Many say retail is at the end of its days and point out how giants like Sears are almost extinct. Writers and consultants highlight how the IoT is tearing away at the basic ‘how to make money in retail’ assumptions. I cannot count the number of columns written that say retail stores are the showroom for Amazon and eBay. There are hundreds of software companies that ‘claim’ to have the magic mobile solution to solve the showroom crisis and meet the IoT threats. Don’t see that working out so well either…
You Are Probably Experiencing these Forecasting Problems
Demand Forecast should be a forecast of future need from your customers. Most people fail to notice the little things wrong in their forecasting software that result in expensive over stocks and out of stocks. The 3 hot issues are: integer based forecast (whole number forecast), big data not being used in the forecasting math and demand planning software used for demand forecasting.
We know millennials along with the rest of us learn better watching a video. YouTube and others have littered the internet with misinformation they call demand forecasting. Because the software says demand forecasting doesn’t mean it is demand forecasting, ha – obvious, right? Did you know there are differences in demand forecasting and sales forecasting? Google ‘Demand Forecasting videos’ and the top results are all using sales forecasting methodology, Not Demand. The inventory results caused by people using sales forecasting are costing companies millions of dollars. If demand forecasting and sales forecasting for inventory replenishment are the same, why use two different words: demand and sales? Most forecast videos talk about forecasting techniques and at some level forecast algorithms. The truth is the forecast algorithms for demand forecasting and sales forecasting can be the same. The key difference between demand and sales forecasting is the data being used in those algorithms.