Supply Chain Shaman
SEPTEMBER 22, 2021
As Allyson presented her story of working for multiple consumer products companies, with very advanced technologies (demand sensing, advanced automation of forecasting, data lakes and descriptive analytics), she spoke of why at the end of the day, the most important technology that she uses is Excel. Lockdowns and Disbelief.
The Logistics & Supply Chain Management Society
JULY 20, 2020
Machine learning and big data analytics augments critical roles in supply chain efficiency, problem solving and cost saving. Data acquisition and filtering and scenario analysis are time consuming practices in supply chain. Efficiency and cost management. Customer Centricity. Oxford Economics and SAP (2020). Olhager, J.,
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Supply Chain Shaman
APRIL 7, 2016
2) Market-Driven Forecasting. Inside-out, traditional processes forecasting processes use statistical methods to predict the future based on order and shipment patterns. So, what are the market signals to model to forecast demand at the cadence of the market? How can you build market-driven forecasting processes?
RFgen
AUGUST 18, 2021
Accurately forecasting inventory amounts for end customers or spare parts is even more challenging. Automotive brand Aston Martin recalled a total of 17,590 cars, which equates to approximately 75 percent of the vehicles made between November 2007 and May 2012. How Ford is Implementing Big Data into its Supply Chain.
Arkieva
JANUARY 6, 2017
Three Steps to a Better Statistical Forecast Setup. Arkieva COO – Sujit Singh, outlines three essential steps to better statistical forecasting — simulate, measure, refine. She shared that her business had implemented a statistical forecasting package from one of the leading vendors during the previous year.
NC State SCRC
JULY 29, 2017
Examples include the multiple layers of approvals for purchase orders, delays in decisions when a forecast deviation occurs, or the lack of response when a major disruption shuts down shipments to customers. Some organizations have invested in very expensive systems called “control towers” to manage their “big” data.
Infosys Supply Chain Management
MAY 25, 2012
Cloud & Big Data. Over the past few years, Ive watched Aribas stunning repositioning as a serious on-demand player (yes, cloud hadnt become so fashionanble in 2007-08) with a lot of admiration, though as an SI, this meant a steadily eroding revenue pie. Supply Chain Planning & Forecasting (59). Customer Service.
Expert insights. Personalized for you.
217 
Let's personalize your content