Supply Chain
挑战
丝绸之路就是最早的supply chain，从中国运丝绸和茶叶，从欧洲运香料。而现在的supply chain复杂度更高。
现在Supply Chain的挑战：Faster, more flexible, more granular, and more efficient
Rising Customer Expectations: - Real Time Tracking - Precise Inventory Management - Wide range of product availability - High availability, reliable lead times, transparency
Fast Fulfillment and Large Volume of Orders - Fast-paced timeline of ordering (overnight shipping for holiday) - Quick growth of parcel and less-than-truckload shipment
Uniqueness and Large Variation of Order - Special requirement of configuration, urgency and delivery locations - Ad hoc and real time planning (last minute change, change typo, etc.)
Leader and Management Team requires 360 degree visibility - Leaders orchestrate demand and supply, information from different channels - End-to-End transparency throughout the supply chain
Accelerating Scale, Scope and Depth of Data - Utilize such immense data sets to drive contextual intelligence - Enable more complex supplier networks that focus on knowledge sharing and collaboration instead of just completing transactions is critical
RFID: Radio Frequency Identification
Twitter feeds: sentiment 大众对产品的考虑，可以给出降价
Data角度的Supply Chain
正在解决这些问题的公司/平台
Oracle SCM, SAP APO (Advanced planning and optimization), JDA, IBM Watson supply chain, Kechie ERP, E2 Open, Deepsense.ai
Retailers
Demand forecasting, supply planning, A/B testing, root cause analysis, inventory optimization, price optimization, on-time delivery, customer survey etc.
Logistic Companies
Transportation/fuel optimization, lead-time prediction, on time performance
Consumer Goods Companies
Manufactoring
Pharmaceutical
Demand Forecasting
Traditional Commercial Software: SPSS, SAS
Commercial Machine Learning Platform: Google Cloud AutoML, DataRobot, Dataiku, H2O
Build in-house solution from scratch
资源
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