Supply chain leaders must act faster than their planning cycles allow. 

From compressed lead-times to rolling disruptions, supply chains are being asked to do more with less margin for error, yet many still rely on disconnected tools, rigid cycles, and fragmented decision-making. This outdated planning model is a core reason why agility breaks down when volatility hits. 

Bain reports that 75% of operations executives now manage six or more top priorities simultaneously. McKinsey finds that only 1 in 4 companies regularly review supply chain risk at the executive level, even as uncertainty accelerates complexity and risk many companies are struggling to get ahead of today’s challenges.  

It’s no longer enough to plan periodically. You need to plan continuously. 

AI is everywhere in supply chain but most of it isn’t cohesively driving forward next generation planning; It’s patchy. It’s used to forecast faster, more accurately not to replan holistically. It augments decisions, not orchestrates decisions 

As David Marmer, SVP, Product at Board shared in his recent AI blog post, the future of planning isn’t about tools or dashboards, it’s about AI that collaborates, contextualizes, and continuously enhances decision-making across the enterprise. 

At Board, we’re enabling this shift by embedding AI directly into the supply chain planning experience, tailored to the persona, driven by business context, to orchestrate superior business results.  

Supply Chain AI That Works the Way You Do 

Whether it’s a demand planner forecasting volatile categories, or an S&OP leader navigating constrained inventory, Board adapts to your unique supply chain processes and planning cycles. 

Here’s what our customers are unlocking: 

AI-driven demand planning 

Forecasts enriched with curated economic data and market insights, customer sentiment and weather boosting long-term forecasting confidence and accuracy 

Supply & inventory optimization 

Simulated replenishment and capacity plans under constraint – recommended before the S&OP cycle begins. 

Continuous scenario modeling 

Model a supplier shutdown or promo spike and instantly see downstream impact across the IBP model. 

Financial reconciliation in Integrated Business Planning (IBP) 

Align supply chain and finance in real time no disconnected spreadsheets, no rework. 

BCG reports AI-led planning cuts time-to-decision by 30% and planning effort by up to 40%. Gartner now ranks “agentic AI” and “digital supply chain twins” as core innovation layers in next-gen planning platforms. 

What Makes Board’s AI Different? 

Board Agents aren’t generic copilots they’re built for your world: 

Board Aware → Understand your org, security, and data model 

In-Context → Combine real-time internal + external signals 

Actionable → Simulate, recommend, optimize not just observe 

Collaborative → Cross-functional by design finance, supply, demand, strategy 

It’s not automation for automation’s sake. It’s decision-making, enhanced. 

Final Thought 

Supply chain is no longer just an operational function—it’s a strategic driver of resilience, margin, and growth. 

And those who embed AI into planning cycles and processes, not just into the technology stack, will be the ones who move faster, align better, and outperform the rest. 

Confidence is achievable. Even in today’s supply chain. Let’s show you how. 

This article is part of our Board AI blog series. Read David Marmer’s post on Agentic AI or see how we’re enabling continuous planning at board.com/board-ai. 

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