Tag: Artificial Intelligence

decision intelligence, Digital supply chain, S&OP

Decision Centric IBP is Becoming a Reality

A Vision coming to Life IBP decisions can be segmented by machine centric S&OE decisions and human centric IBP decisions. This new planning paradigm was suggested by my colleague Hein Regeer and I in a Foresight article in 2021 Our article was a continuation of my articles autonomous supply chain planning (2019) and Technology Support in Integrated Business Planning: Automation, Augmentation and Human Centricity (2021), where I lay out a … Continue reading Decision Centric IBP is Becoming a Reality

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decision intelligence, Digital supply chain

How to Overcome the Supply Chain Decision Gap

As John Lennon said, “Live is what happens while you’re busy making other plans”. Every supply chain plan or schedule meets variations or disruptions that require corrective decisions and actions. However, a gap remains between data, plans, insights and taking action to solve short and long term issues and grasp opportunities. I called this the “Decision Gap” in a recent webinar. A week later I … Continue reading How to Overcome the Supply Chain Decision Gap

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decision intelligence, Digital supply chain

Planners, Embrace your Biased Judgements

The content discusses the limitations of forecasting and the evolving role of forecasters/planners. It emphasizes the need for integrating human judgment and predictive analytics in the digital supply chain, highlighting the advantages of machine detection and correction of human bias. It suggests using decision checklists to counteract human biases, and encourages collaboration between humans and machines for improvement. Continue reading Planners, Embrace your Biased Judgements

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decision intelligence, Leadership

Think Decision first, Data and AI later

“Companies with flaky master data would be wise to cleaning that up first before embarking on DI.”, a comment on my last blog about Decision Intelligence said. I surely agree, data is absolutely important when implementing technology. It already was when I was implementing ERP and APS systems 20+ years ago. And it still is. Garbage in is still garbage out indeed.   Maybe more … Continue reading Think Decision first, Data and AI later

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decision intelligence, Digital supply chain

Decision Intelligence, a Natural Step in the Planning Evolution

Decision Intelligence (DI) is a natural evolution in supply chain planning technology. It closes the planning and execution automation gap which has been left by ERP and APS, both technologies that have reached the maturity phase for their functional aims. 7% of companies have started to adopt autonomous end-to-end planning. 3% of companies use autonomous execution to enhance their supply chain resilience. Prediction are that … Continue reading Decision Intelligence, a Natural Step in the Planning Evolution

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decision intelligence, Digital supply chain, S&OP

A Case for a More Decision Centric IBP

Although Integrated Business Planning (IBP) is designed to make high-impact business decisions, little attention has been given to the quality of decisions in an IBP cycle. In my latest Foresight article, I argue that to continuously learn from and improve IBP decisions, decision processes ought to be integrated with the traditional IBP process and supported by Decision Intelligence technology that goes beyond existing transactional and … Continue reading A Case for a More Decision Centric IBP

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Digital supply chain, S&OP, Supply Chain

The Intelligent IBP Manifesto – key principles for a new planning paradigm

The IBP paradigm has hardly changed for 30 years, the decision needle has not moved enough. We’ve entered an AI era where 74% of work can be augmented or automated and 26% eliminated. Planning will not be excluded from this evolution. However, only 3% of companies apply automated execution and 7% autonomous end to end planning. 2% of managers apply best practice decision methods. Hardly … Continue reading The Intelligent IBP Manifesto – key principles for a new planning paradigm

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decision intelligence, Digital supply chain, S&OP

Reimagining IBP in the Age of AI

What would a Martian expert in supply chain planning and technology think when looking back at earth? With all technology available on earth would it continue with a 30+ year old, sequential, cascading, rather sluggish, manual planning process with a lack of focus on decision digitisation, decision quality and decision learning? Or would it start with a blank sheet and reimagine IBP? Closing the planning … Continue reading Reimagining IBP in the Age of AI

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decision intelligence

Don’t master AI. Be a Master of Your Business Process!

Seeing through the AI razzle dazzle Everything seems to be AI these days, which can become overwhelming when you have to think about how it can be used in your industry or business process. All whilst the market is screaming from all directions with their AI message. The AI razzle dazzle will continue. It will probably accelerate. Expect a ChatGPT every one or two years. … Continue reading Don’t master AI. Be a Master of Your Business Process!

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decision intelligence, Digital supply chain, S&OP

Intelligent IBP: A Need for Decision Centricity

At the core, the IBP process must facilitate executive decision making.

However, it lacks focus on using best practice decisions models to facilitate #decisionquality and #decisionlearning.

We can solve these traditional IBP decision gaps, enable a reduction in decision time and analytics waste, whilst increasing employee engagement with the decision process.

#Decisionintelligence technology can digitize decisions and decision context, create a system of records for decisions and develop a decision memory that helps continuously improve #decisionquality.

This is the fifth in a series of blogs, where I describe how #intelligentautomation and #decisionintelligence can help create a more #intelligentIBP and change the future of work. Continue reading Intelligent IBP: A Need for Decision Centricity

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