How do you prepare a supply chain plan for AI?

Many organisations are excited about the potential of AI in supply chain planning. From improving forecast accuracy and identifying risks to automating decision-making and evaluating thousands of planning scenarios in seconds, the opportunities are significant.

However, one of the biggest misconceptions about AI is that it automatically fixes planning problems.

In reality, AI tends to amplify whatever foundations already exist. If data is fragmented, processes are inconsistent, and teams are working from different assumptions, AI will simply surface those issues faster. Before organisations think about AI-powered forecasting or intelligent planning recommendations, they need to ensure their supply chain planning environment is ready.

The first step is establishing a single source of truth.

AI depends on access to reliable, timely, and consistent data. If demand data sits in one system, inventory information in another, and operational assumptions in multiple spreadsheets, AI models will struggle to generate insights that decision-makers can trust. Organisations need a connected planning environment where data is aligned across functions and everyone is working from the same view of the business.

The second priority is improving data quality.

Poor data is one of the biggest barriers to successful AI adoption. Inaccurate forecasts, missing information, inconsistent hierarchies, and disconnected datasets all limit the effectiveness of AI-driven analysis. Before organisations introduce AI capabilities, they should review the quality, completeness, and governance of the data feeding their planning processes.

Equally important are the planning processes themselves.

AI performs best when it operates within clearly defined workflows and decision-making frameworks. If planning activities vary significantly between teams or rely heavily on manual intervention, organisations should focus on standardising and simplifying processes before introducing new technologies.

This is where connected planning becomes essential.

Supply chain decisions rarely exist in isolation. Demand influences supply. Supply impacts inventory. Inventory affects customer service levels. Financial objectives shape operational priorities. AI is most effective when it can understand these relationships and evaluate outcomes across the entire planning ecosystem rather than within individual silos.

That’s why many organisations focus on strengthening Sales & Operations Planning (S&OP) or Integrated Business Planning (IBP) before pursuing more advanced AI initiatives. Connected planning creates the context that enables AI to generate meaningful recommendations and identify trade-offs more effectively.

Another important area is scenario planning.

Before organisations trust AI to make recommendations, they should already understand how to model alternative futures and evaluate potential outcomes. Scenario planning helps teams develop the planning maturity needed to use AI effectively, while also creating the structured environment that AI can learn from and enhance.

Preparing for AI also requires organisations to look beyond technology and consider people.

Supply chain planners are not being replaced by AI. Instead, their role evolves from gathering information to interpreting insights and making decisions. Successful organisations invest in user adoption, education, and capability development to ensure teams understand how AI-generated recommendations should be assessed and applied.

The goal is not to remove human judgement but to support it.

For organisations using Anaplan, AI readiness typically means reviewing several key areas:

 

At Bedford, we often find that organisations don’t need more technology before adopting AI. They need better visibility into how their planning environment is operating today.

That’s why AI readiness often starts with understanding the current state of your platform, processes, and teams. Once those foundations are in place, organisations are in a far stronger position to take advantage of emerging AI capabilities and generate meaningful business outcomes.

Ultimately, preparing a supply chain plan for AI isn’t about implementing artificial intelligence. It’s about creating the conditions that allow AI to succeed. Organisations that invest in stronger data, connected planning, and planning maturity today will be the ones best positioned to unlock the value of AI tomorrow.