Category: decision intelligence

decision intelligence, Digital supply chain, S&OP

The Evolution of Demand Planning: Augmentation & AI-Agents  

Summary this paper discusses how AI decision agents will help evolve demand planning from a function focused on creating a point plan, to a gap detection, gap closure and decision management function, where demand planners provide cross functional aligned decision input to the Demand Review with significantly increased speed, consistency and accuracy. It highlights how demand planning decisions will be digitised, augmented and status managed … Continue reading The Evolution of Demand Planning: Augmentation & AI-Agents  

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decision intelligence, Digital supply chain

Treat your Decision Agent as a Co-Worker!

Kasparov’s law indicates that a collaborative process between humans and machines leads to superior results. Supply Chain professor Nada Sanders therefore advocates in her book Humachine, an AI-collaborative culture. At a personal level, I’ve highlighted that this requires an AI-mindset, where we see an agent as a co-worker we collaboratively approach with a growth-mindset and smart trust. We can teach our experience to an agent, … Continue reading Treat your Decision Agent as a Co-Worker!

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decision intelligence, Digital supply chain, Leadership

We’re Stuck with Old Supply Chain Models

In her post, Driving Value from Supply Chain Planning, Lora Cecere provides great supply chain analysis and benchmarking for her supply chain to admire. The supply chain operating model adjustments and metrics she is suggesting however, are not based on new thinking: 👉 Outside in thinking: in strategy over 50 years old 👉 Outside in demand segmented supply chains: over 20 years old 👉 Business … Continue reading We’re Stuck with Old Supply Chain Models

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decision intelligence, Leadership, S&OP

Key Elements of Decision Centricity in Effective IBP Processes

IBP and its predecessor S&OP were developed as executive decision-making forums. In support of effective decision making in the IBP process, we could expect many decision centric capabilities in an organization. But how decision centric is your S&OP/IBP process, your meetings, your organization? Any idea? To create some baseline insights, I developed an 11-question checklist to assess IBP decision centricity. Based on this checklist I … Continue reading Key Elements of Decision Centricity in Effective IBP Processes

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decision intelligence, Digital supply chain, S&OP

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

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decision intelligence, S&OP

IBP decision centricity study: a lack of managing bias, speed, digitization, incentives & learning

IBP and its predecessor S&OP were developed as executive decision-making forums. In support of effective decision making in the IBP process, we could expect many decision centric capabilities in an organization. Improving IBP decision centricity results in improvements like: 👉 Increased decision speed 👉 Improved decision quality 👉 Reduced decision bias 👉 Less analytics waste 👉 Effective decision learning 👉 Improved engagement with decision process … Continue reading IBP decision centricity study: a lack of managing bias, speed, digitization, incentives & learning

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decision intelligence, S&OP

Beware of ‘Decision Washing’ in Supply Chain Planning

Planners make plans… With their plans they facilitate decision making in the S&OP process, rather than making decisions with a direct business impact themselves. Planning systems create plans…or schedules… The outcomes of advanced planning systems (APS), as advanced as they may be, are plans, schedules, analytics, insights, alerts, scenario’s, at best recommendations…not S&OP decisions! An APS system can be considered a system of record for … Continue reading Beware of ‘Decision Washing’ in Supply Chain Planning

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decision intelligence, Leadership, S&OP

The State of Decision Centricity in IBP

Recently, I published below Decision-Centric S&OP infographic in collaboration with Marcia Williams. We had a lot of positive responses. A focus on decision making is not new. In the end, S&OP was created as an executive decision making forum. But I think we certainly can get more value out of understanding and framing our decisions better, orchestrating the decision making process, minimising bias, capturing decisions … Continue reading The State of Decision Centricity in IBP

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decision intelligence, S&OP

Decision-Centric versus Traditional S&OP

Over the last couple of years, I have been mentioning Decision-Centric S&OP/IBP in my articles. In 2021, I explored the efficacy between decision automation and augmentation for different decision horizons and proposed a new narrative for IBP that includes decision automation, capturing and learning, with IBP managers who are incentivised to improve decision quality. Other articles and blogs followed Decision centricity supported by the digitization … Continue reading Decision-Centric versus Traditional S&OP

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decision intelligence, Digital supply chain

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

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