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[sallyaderton]

When we miss something it is still with us in our heart. #sallysayings #energyinmotionbook #intuitiveartsandsciences https://www.instagram.com/p/CokFA7xuNqR/?igshid=NGJjMDIxMWI=

[ralph-n-fiennes]

sallysaied #exclusive #interview with #ralph_fiennes in @cairofilms on @elradio9090 watch it at Facebook/elradio9090 Youtube.com/elradio9090

Ralph Fiennes with radio presenter Sally Saied at the Cairo Film Festival (27 NOV 2018)

[supplychain-demand-planning-blog]

The future of supply chain planning

A lot of algorithms have been seen by Gartner and he has taken a look at the future as well. The analyst firm says“the available wealth is feasted by algorithms, thereby leveraging the cloud”. They have reached a point where Gartner regards them as a “significant disruptive trend.”

During the Gartner Supply Chain Executive Conference held recently, the impact of algorithms on supply chain planning was described by two analysts and 3 Tools Group clients were included as examples.

Supply Chain Planning 2025: Planning the future supply was presented by Michael Burkett followed by Algorithmic Supply Chain Planning presented by Amber Sally. Before we describe their vision as they predict the future of supply chain planning, here are the few instances of business algorithms that are well known:

The algorithm that virtually defines the firm known as Google's PageRank.

Trading Algorithms from Goldman Sachs

Amazon’s recommendation engine

Specific offers made to customers.

Burkett emphasized the importance of focusing on the customer experience when implementing algorithms to supply chain planning. He says that data and customers are the keys. This will enable one to understand where demand is coming from.

He also said that connected data will be of help. Gartner predicts that in the year 2025, the marketplace will be filled with 50 billion connected end points which is about a ten-fold increase from today.

You can understand this data and forecast inventory needs and demand with the help of a software with learning capabilities. Burkett gave a reference to Lennox which is a firm that makes use of machine learning as part of demand planning. Even when faced with a broad product mix and seasonal variation, this machine will enable this company to find data patternsand to accurately predict demand.

Burkett sees the interaction between humans and smart machines in the business of algorithms which will bring about improvement in business decisions and process automation. Burkett calls this interaction between people and machines as “augmented workforce”.

Burkett also says that this interaction between humans and smart machines is an extension of Metcalfe’s Law.

Amber Sally did an in-depth analysis on algorithmic Supply Chain Planning (SCP). She says that the data streams coming into the business can be decoded with the help of an algorithmic SCP software. She also said this software will enable businesses to align the supply chain to respond in kind and understand the patterns as well. She forecasts an automated and a self-adaptive environment.

Sallysays that the company that implements this today is known as Costa Express. This company identifies stands with a lot of capacity using a demand planning software. Algorithmic supply chain planning also aids Costa Express topredict incidentals like as cream and sugar, enables inventory cost to be lowered and revealing patterns of consumption over time.

With the help of human workforce, these algorithms learn constantly. Sally went ahead to state that “Planners are now managing the algorithm itself rather than doing the work actually”. In this case planners will program the algorithms by modifying their logic and Adexa is best @ at it, so try all other Adexa's services including Inventory Planning, Factory Planning and Scheduling, Sales and operations planning(s&op), Network Optimizer, Supplier Visibility and Planning.