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Presumably SAP's models encode information about past supply chain behaviors/events, along with any actual data that the customer may have already input. At le
by njacobs5074 8y ago
Presumably SAP's models encode information about past supply chain behaviors/events, along with any actual data that the customer may have already input.
At least that's what their documentation claims: https://wiki.scn.sap.com/wiki/pages/viewpage.action?pageId=72843498 https://wiki.scn.sap.com/wiki/pages/viewpage.action?pageId=7...
But as the old saying goes, "There's lies, damned lies, and then there's statistics". But I'm sure that this an area where good neural nets could be put to enormous advantage.
The question the author raises with good reason is "Do we want to optimize only for supply chain efficiency?"
BTW, the author is a 'she', Miriam Posner.
- nraynaud 8y agoThere are a lot of low hanging fruits in seasonality and geography, just storing space heaters and toys in the winter and portable AC units in the summer is already a good first step, and ordering them on time to do it. You need quite an involved tool to do that when you have 500,000 SKU in your database.