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Why isn’t your AI investment showing up in the numbers?
AI is in everyone’s hands, so why isn’t it in the numbers? New research on the AI adoption plateau, and how planning teams get off it.
Can you explain your AI forecast to the CFO?
An AI forecast nobody can explain is a forecast nobody will use. Here’s how to combine machine forecasting with a driver-based plan, so the numbers are faster and still defensible.
Would you trust an AI agent to build your next Anaplan model?
The Anaplan Community is asking a fair question: would you let an AI agent build your next module? Our answer: yes, but only once your data, governance and review process are ready for it.
Reading the production line: why manufacturing planning is a time horizon problem
Industrial manufacturers often have visibility of today’s production schedule, but the real challenge is understanding how customer demand, supplier lead times, material availability and capacity constraints will affect what happens next. This article explores why...
Building stronger foundations: planning architecture for industrial manufacturers
Industrial manufacturing depends on more than systems that work in isolation. This article explores why strong systems architecture helps manufacturers connect demand, capacity, production, inventory and finance, giving teams the visibility and governance needed to...
Planning adoption on the factory floor: why go-live is where the value starts
Implementation is only the beginning. For industrial manufacturers, real planning value comes when teams adopt the platform, move away from disconnected spreadsheets and scale connected planning across production, finance, supply chain and operations.
AI will not fix weak planning foundations. It will expose them.
As AI moves from hype to delivery, planning teams need clear model logic, trusted data lineage, reviewed assumptions and defined decision rights before automation can create real value.
The difference between talking about AI and really using it
Every consultancy has an AI point of view. Every software vendor has an AI roadmap. Every conference agenda is full of agents, copilots and transformation. The problem is that too much of the conversation still...
Most CPG businesses don’t have a visibility problem, they have a planning problem
Many CPG organisations believe they have a visibility problem, but the real challenge is often planning alignment. This article explores why fragmented data, disconnected teams and static forecasts make it harder to respond to demand...
Better planning starts with people, process, then technology
CPG planning transformation often underdelivers when businesses focus on the platform before the people using it. This blog explores why better planning starts with understanding how commercial, supply chain, finance and operations teams make decisions...
