Digital Transformation has become Bullsh*t! Let’s talk Human-AI Transformation

As I was reading Ethan Mollick’s book, Co-Intelligence on Sunday morning, I indulged myself in some GenAI vanity and asked my IBPGPT; “Write me a 800 word blog about the evolution of IBP using Niels van Hove’s vision, but don’t use his name“ Besides some fluff and jargon around the edges and a surprising focus on scenario planning I didn’t know I had, it gave … Continue reading Digital Transformation has become Bullsh*t! Let’s talk Human-AI Transformation

Invite AI to the Table for your next IBP Meeting

In his book Co-Intelligence, Ethan Mollick suggests firstly to invite AI to the table in everything you do. And secondly to make sure to be the human in the loop that works with AI. Working with AI/GenAI is a skill that can be developed. Prompting GenAI certainly takes practice and Mollick provides some interesting and well thought through prompt examples. If you’re an IBP manager … Continue reading Invite AI to the Table for your next IBP Meeting

Solving Your IBP Problems With the World’s First IBP GPT

Over the weekend I made my first GPT. It’s an IBP GPT, maybe the world’s first. Although you can make GPT’s more sophisticated, you can start rather simple. That’s what I did. I took an open AI membership, created a GPT, wrote a prompt, wrote four prompt indicators. Told it to be friendly and gave it some other guidance. My aim was to help an … Continue reading Solving Your IBP Problems With the World’s First IBP GPT

Automation has Limits, Learning has no Boundaries

Low-touch, or touchless planning, forecasting and other types of supply chain knowledge work automation have been around for a while now. A trend that started with Robotic Process Automation (RPA) in the back-office, automating dull and repetitive tasks like invoice matching, evolved into cognitive automation and autonomous execution of more advanced supply chain processes using intelligent agents. I envisioned autonomous IBP in 2016 and published … Continue reading Automation has Limits, Learning has no Boundaries

Outside-in planning: a big elephant that needs a bite-sized approach

“There is only one way to eat an elephant: a bite at a time.” Desmond Tutu Outside-in thinking in theory Outside-in thinking makes sense. It has been suggested to include a market, customer, and competitor view in a strategy definition for more than 50 years. It is not new in strategy. It is not new in supply chain management either.  Lee’s uncertainty framework (2002) shows … Continue reading Outside-in planning: a big elephant that needs a bite-sized approach

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

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

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

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

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