Zombie Planning Systems: Solving the Right Problem

Bringing Your Zombie Planning System Back to Life

Part 1 of 3 | Are We Solving the Right Planning Problem?

Why supply chain strategy, decision design, planning scope, and operating model design matter more than planning software

Many organizations spend millions on supply chain planning platforms. Years later, planners still work in spreadsheets and executives still question the investment. At Spinnaker SCA, we call these Zombie Planning Systems: platforms that are technically alive but no longer create real business value.

This series looks at the three most common causes. Part 1 starts with the most basic one: solving the wrong planning problem.

Executive Summary

Before changing processes, data, or technology, every planning organization should be able to answer three questions:

• What are the most important decisions required to run our supply chain?

• Which metrics and outcomes do those decisions affect?

• What information would help us make those decisions better?

Technology often gets blamed for poor planning results when the software has little to do with it. When leaders agree on these questions first, the planning process, operating model, data investments, and technology all work toward the same business outcomes.

The Most Expensive Planning Mistake

Most planning transformations begin with discussions about processes, systems, and data. Unless managed carefully, these discussions can easily remain anchored in the problems organizations have historically focused on solving, not the ones that’ll unlock new business potential.  

Planning does not create value by generating forecasts. Planning creates value by improving decisions. 

Every supply chain operates through decisions about inventory, capacity, sourcing, fulfillment, supplier commitments, customer commitments, production, and allocation. These decisions ultimately determine service levels, working capital, resiliency, responsiveness, and profitability. 

The most expensive planning mistake organizations make is implementing technology before clearly defining the decisions the business needs to make and the information required to support them. The result is often a planning system that generates forecasts and plans while doing little to improve the decisions that actually drive business performance. 

Supply Chain Planning Should Start with Decisions, Not Systems

A better approach begins by identifying the decisions that matter most. 

1. Strategic decisions define the structure of the supply chain. Examples include capacity investments, supplier strategy, network design, and customer and product segmentation. 
   

2. Tactical decisions determine how resources are managed. These include inventory targets, allocation policies, production planning, and service strategies. 
   

3. Operational decisions govern day-to-day execution such as production sequencing, purchasing priorities, fulfillment decisions, and exception management. 
   

Once these decisions are identified, organizations can ask a second question: 

What information would improve the quality, speed, and consistency of these decisions? 

This question often changes the entire planning discussion. Most planning organizations rely heavily on internal information such as orders, forecasts, backlog, production schedules, and inventory positions. These signals remain essential and will continue to play an important role in planning, but they don’t change the game.  

Depending on the industry, the most valuable planning signals may include consumer demand, customer traffic, digital engagement, design wins, product roadmaps, technology transitions, downstream inventory levels, project pipelines, and regulatory developments, but the list isn’t the same across all industries. The objective is not to collect more data, but to identify the signals most likely to improve the decisions that drive business outcomes. 

Planning shouldn't start with what data is available. It should start with what decisions require.

Industry examples: signals that can improve decision-making

The objective is not to replace internal planning information. The objective is to identify the signals that provide the most value for the decisions being made. 

Leading organizations increasingly evaluate planning inputs by asking: Will this information improve the decision? If the answer is yes, it belongs in the planning model.  

A Change in Supply Chain Planning Focus: From Forecast Management to Flow Management 

For decades, planning organizations have focused heavily on forecast accuracy. Forecast accuracy remains important, but forecasts are not the ultimate output of planning. Forecasts are inputs to decisions. The true outputs of planning are decisions regarding inventory, capacity, purchasing, allocation, manufacturing, and fulfillment. 

Customers do not care about forecast accuracy. They care about availability, lead times, and responsiveness. Investors do not care about forecast accuracy either. They care about growth, margins, inventory productivity, and return on capital. 

That's why leading organizations increasingly focus on improving the flow of products, materials, capacity, information, inventory, and cash throughout the value chain.  

This shift changes the planning conversation. Instead of asking only how accurate the forecast is, organizations look at both normal and abnormal inventory requirements and flows. They ask how quickly they can recognize change, evaluate alternatives, make a decision, and coordinate a response.

The objective becomes improving decision quality and decision velocity, ultimately creating better flow throughout the supply chain. 

Outside-In: Expanding the Scope of Planning

Many planning processes and systems remain confined to traditional organizational boundaries. That matches how ERP systems and legacy data models were built. But supply chain leaders have long known that many of the factors with the biggest influence on their decisions come from outside those boundaries.

Leading organizations increasingly expand planning scope in two directions.

First, they seek earlier visibility into future demand drivers. Depending on the industry, these may include design wins, customer projects, procedure trends, retail demand signals, product adoption patterns, or market activity.

Second, they expand visibility into supply constraints. Supplier capacities, material availability, component shortages, procurement risks, and manufacturing constraints can all play an important role in planning decisions.

The purpose of expanding planning scope is not to create complexity. The purpose is to improve decisions by ensuring planners understand both the demand opportunities they may encounter and the constraints they may face.

Planning scope should ultimately be defined by the decisions an organization needs to make rather than by traditional organizational boundaries.

Designing the Future-State Planning Operating Model

Before selecting technology, organizations should define the operating model required to support their business strategy. A well-designed planning operating model answers six questions:

1. What business outcomes are we trying to achieve, and how do we measure success?
2. What decisions drive those outcomes?
3. Who owns those decisions?
4. What information improves those decisions?
5. What processes and governance support those decisions?
6. How can technology enable these decisions?

Organizations that start with technology often end up limited by what the software can do. Organizations that start with decisions and information requirements are better placed to define the capabilities they actually need.

Technology should enable the operating model. It should not define it.

Turning Planning Strategy into Planning Success

Most organizations do not suffer from a lack of planning technology. They suffer from a lack of alignment between their supply chain strategy, the decisions they need to make, the information required to support those decisions, and the planning capabilities deployed to enable them.

This is where Spinnaker SCA helps.

Rather than beginning with software selection or system configuration, we help organizations answer the foundational questions that determine whether a planning transformation will ultimately succeed:

• What supply chain strategy are we trying to enable?
• What are the most important decisions required to operate our supply chain?
• Which decisions create the greatest impact on service, inventory, profitability, resiliency, and growth?
• What information would most improve those decisions?
• Which demand signals and supply constraints should be incorporated into planning?
• How should different products, customers, channels, and markets be managed?
• What planning operating model is required to support future business objectives?

Through strategy assessments, supply chain design, planning operating model design, segmentation analysis, planning process transformation, technology evaluation, and future-state architecture development, Spinnaker SCA helps organizations define the right planning problem before investing in the technologies designed to solve it.

This approach allows organizations to move beyond traditional discussions about software features. Instead, planning becomes a business capability designed to improve decision quality, accelerate decision speed, and strengthen the flow of products, materials, information, inventory, and cash across the value chain.

The result is a planning model that is aligned with the company's strategy, informed by the most relevant business signals, designed around critical decisions, and supported by technology that enables rather than constrains performance.

Only after these foundations are established should organizations turn their attention to execution.

Coming Next in the Series