2002 Examples Innovation Procurement Analytics 
Enterra Insights
JUNE 20, 2019
Some examples include gestural interfaces, machine-aided purchases, facial recognition, autonomous cars, miniature drones, ubiquitous advertising, and electronic surveillance. For example, analysts at River Logic write, “The concept of autonomously delivering products is slowly starting to become a reality. ”[3].
Supply Chain Shaman
MARCH 15, 2016
Sadly, I find each to have a limited view of supply chain analytics. However, visibility of channel relationships–customer orders and consumption/purchase–in the demand network, or the use and consumption of materials in the extended supplier network, is an ongoing issue. BPO concepts limits their thinking.
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Supply Chain Shaman
APRIL 27, 2022
At each company, there is a relationship between the metrics of growth, margin, inventory, customer service, and asset strategy. For the purpose of this article, I will use Return on Invested Capital (ROIC) as the proxy metric to discuss asset utilization.) Understanding this relationship requires modeling. (A A Case Study.
ModusLink Corporation
SEPTEMBER 20, 2010
Instilling a “language of green”, as noted by the University of Tennessee researchers is key, and examples can be garnered from other firms. Let us reflect on two examples where alignment is evident. Walmart is an even more pertinent example, since this global retailer fully understands two principles concerning its business.
Supply Chain Trend
NOVEMBER 16, 2016
On top of this we can see examples of marketing driven service providers that very doubtfully brand their product S&OP, or make up new names for existing S&OP processes. 64% think there is not enough coordinated innovation in S&OP processes. 64% think there is not enough coordinated innovation in S&OP processes.
BlueYonder
FEBRUARY 12, 2015
In this final post of the series, I highlight three reasons why I believe learning technologies will make this future not only possible, but also imminent: First, there are breakthrough innovations in the underlying learning algorithms. Second, there is an abundance of data that is the fuel that these engines need to run.
Locus Robotics
JULY 5, 2019
Comments like these indicate the pressure supply chain executives are feeling to innovate to effectively respond to increased competition, labor challenges, and demands from customers. Both 3PLs and progressive retail operators have formed innovation teams within their operations to specify robotics solutions to compete.
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