recentpopularlog in

jonerp : logility   3

Where Would We Be Without All of the BullS&%T?
"My questions for the technologists were, “How do you define cognitive?” With hearing this question, most will answer with silence. Only Enterra answers the question with the definition of a semantic inference engine. Instead, most of the solutions are aligning data using machine learning or improving planning models through better use of math. Few are driving innovation to drive autonomous supply chain planning through better management of exceptions (not just showing the exceptions, but giving suggested action)."
big  data  supply  chains  new  technologies  advanced  planning  aera  anaplan  cognitive  computing  kinaxis  logility  market  hype 
february 2019 by jonerp
2016: The Start of the Third Act? - by @lcecere #scm
"In the market there is a clearer understanding that the software planning functionality by Oracle and SAP does not meet today’s business requirements. Oracle and SAP have not been able to bring enough domain expertise to solution development to stay current with the market requirements."
supply  chain  insights  community  leadership  elemica  logility  oracle  research  sap  technology  trends 
january 2016 by jonerp
Nine Myths of S&OP Technology Selection - by @lcecere
"Sales and Operations Planning (S&OP) is in a renaissance. The reason? With growth slowing and complexity rising, S&OP is more important than ever. It is not sexy, and it requires hard work; but the greatest value of S&OP is profitable growth."
demand  market-driven  sales  and  operations  planning  supply  chain  putting  together  the  pieces  qlikview  sap.  jda.  logility  excellence  insights  global  summit  management 
august 2015 by jonerp

Copy this bookmark:





to read