Supply Chain Trend
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Shaping the world of S&OP and Supply Chain.
Supply Chain Trend
1d ago
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 noticed that David Pidsley from Gartner called it the “Decision Divide” in his webinar. I pictured it as a dramatic canyon that one (or actually a whole business) has to overcome. Gartner shows it a bi ..read more
Supply Chain Trend
1w ago
In the fast-paced world of supply chain management, the ability to make timely and informed decisions can spell the difference between success and failure. One crucial aspect of this decision-making process occurs in the sales and operations execution horizon—a critical 13-week window where key stakeholders gather weekly to navigate the complexities of demand planning, supply management, inventory allocation, and more.
Traditionally, these meetings involve a diverse group of professionals from different functions, each bringing their insights and plans to the table. From demand planners to sup ..read more
Supply Chain Trend
1M ago
Hi all,
Next week Tuesday March 5th, I’ll be holding a webinar about moving from Data Centric to Decision Centric thinking. Decision Centricity is a key element of decision intelligence.
Only when you think decision back, you can orchestrate the whole data to action process, digitize it and then augment or automate decisions. If you only think data forward, you can’t operationalize decisions at scale.
This amongst other things I will discuss with my colleague. Join for the discussion, a demo, a poll, a Q&A, some learning and some fun!
You can sign up here.
Hope you can join. If you can’t m ..read more
Supply Chain Trend
1M ago
A special feature “Does forecast accuracy even matter?” (Foresight issue 68), discussed the limitations of forecasting on decision making and questioned whether forecast accuracy translates to business value. To this special feature I wrote a commentary, highlighting The Limitations of Forecasts and Plans on Decision Making and the changing role of the forecaster/planner when working with the machine.
According to the research paper Demand planning for the digital supply chain: How to integrate human judgment and predictive analytics, we can add another, very interesting, limitation to the rol ..read more
Supply Chain Trend
2M ago
“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 so these days when applying AI, Decision Intelligence, and high levels of automation. The stakes maybe are a bit higher when we rely on more and more on automation and machine intelligence.
It’s probably also a ..read more
Supply Chain Trend
2M ago
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 50%-80% of S&OE decisions can be automated. Whatever the number is, we have a gap to overcome here.
Supported by the AI hype, ERP and APS are being stretched into sy ..read more
Supply Chain Trend
2M ago
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 planning technology.
You can find this article on the article page.
Enjoy the read ..read more
Supply Chain Trend
3M ago
We’ve entered an AI era where 76% of work can be augmented or automated. The IBP paradigm has hardly changed for 30 years, the decision needle has not moved enough.
However, only 3% of companies apply automated execution and 7% autonomous end to end planning. 2% of managers apply best practice decision methods. Hardly a recipe for improving planning & decision making.
The idea of Intelligent IBP is to close these planning, decision & execution gaps and grasp the opportunities that comes with it. In this manifesto I will introduce Intelligent IBP principles. Many which I’ve highlighted ..read more
Supply Chain Trend
5M ago
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 automation gap
After more than hundred years of automating our physical assets in the supply chain, we now have automated warehouses, trucks, productions plants and delivery drones. We can use ..read more
Supply Chain Trend
7M ago
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. Although let’s also hope that one day, AI will be less focused on dazzling AI capabilities, and more focused on how these capabilities will help companies own (or redefine) valuable enterprise workflows.
To survive (and hopefu ..read more