Why Supply Chain Leaders Are Often Sceptical of Consultants and Why That Matters for Planning Transformation
Most supply chain leaders eventually face the same situation: planning performance needs to improve because forecast accuracy is not where it should be, persistent over- and under-stocks are affecting inventory and service levels are suffering. At the same time, senior leadership is asking questions about AI, advanced planning systems or Integrated Business Planning (IBP).
Unless you have a lot of internal capability and are not being significantly affected by increasing volatility (congratulations if so, by the way), you are likely to look for external support and guidance to address this. That is why consultants are frequently involved in planning transformations. The expertise required spans forecasting science, planning processes, data architecture, organisational change and system implementation, and few organisations have all of those capabilities internally.
Many supply chain leaders nevertheless approach consultants with a degree of scepticism.
The scepticism tends to be pragmatic rather than ideological. Leaders are aware that transformation programmes are expensive, disruptive and often uncertain in their outcomes. They also understand that consultants and technology vendors operate within commercial ecosystems that shape how solutions are presented and implemented. These issues are familiar to many people in the field but they are not always discussed openly.
Why scepticism arises in the first place
For most organisations the decision to involve consultants is driven by practical necessity rather than enthusiasm. Planning transformation requires capabilities that rarely exist within a single internal team. Forecasting science, process design, data management, technology implementation and change management all play a role, and organisations often turn to consultants to bring experience across these areas.
At the same time, experienced practitioners are aware that consulting firms operate within broader commercial ecosystems that include technology partnerships and implementation services. This does not imply that recommendations are inappropriate, but it does mean that organisations often think carefully about how solution options are framed and whether alternative approaches have been fully explored.
Leaders also recognise that incentives within transformation programmes can differ between internal teams and external advisors. Consulting engagements are typically structured around advisory phases or system implementation milestones, whereas the operational consequences of planning changes often emerge only later as new processes and behaviours are embedded within the organisation. In practice this can create uncertainty about where responsibility ultimately sits if the transformation proves more complex than initially anticipated.
Cost escalation is another consideration. Large transformation initiatives sometimes expand beyond their original scope as additional diagnostics, redesign work or system changes become necessary. While this is often a natural consequence of discovering complexity during implementation, organisations can nevertheless become cautious about committing to programmes where the eventual scale of work is difficult to estimate in advance.
Finally, many leaders are conscious that the long-term success of planning transformations depends on internal capability rather than external support. Even when consultants play a valuable role in designing processes or selecting systems, the organisation itself must ultimately operate, maintain and evolve the planning environment.
Experienced supply chain leaders therefore tend to balance two considerations. On one hand, they want to benefit from external expertise. On the other, they want to ensure that the transformation addresses the operational problem they are facing and that their organisation develops the capability to sustain the improvements over time.
Research on organisational change reinforces this caution. Studies of large-scale transformation programmes consistently show that many initiatives fail to deliver the performance improvements originally expected. For example, research from McKinsey on digital transformation success rates and analysis published in the Harvard Business Review on why transformation efforts fail highlight organisational alignment and leadership engagement as common determinants of outcomes.
The gap between planning models and operational behaviour
Integrated Business Planning (IBP) is widely presented as a framework that aligns demand, supply and financial plans around a single shared view of the business, as outlined in Gartner’s overview of IBP in supply chain management.. Not many would disagree with this in principle but often the challenge lies in how the process functions inside real organisations.
Planning sits at the intersection of several functions that operate with different objectives and incentives. Sales organisations focus on revenue growth, finance teams focus on financial discipline and supply chain teams are responsible for operational efficiency and service performance.
When these incentives remain unchanged, planning discussions can easily become negotiations between departments rather than coordinated decisions about how the business should operate. Organisations may invest heavily in planning systems while the underlying decision-making behaviour remains largely unchanged.
Insights from a former practitioner, turned consultant
I recently explored these issues with Dale Edwards who has the perspective of someone who has worked on both sides of the relationship. Before moving into consulting, Dale spent many years in operational supply chain roles so I asked him about how that experience continues to influence how he approaches planning transformation projects.
One observation he made is that many transformation initiatives begin with a discussion about technology. Organisations start evaluating planning platforms, analytics tools or optimisation software before reaching agreement about the operational problem they are trying to solve.
Planning performance issues rarely exist in isolation: forecast accuracy affects inventory positioning and production scheduling, inventory policies influence working capital and service performance and decisions made in one part of the planning process often have consequences elsewhere in the organisation.
When transformation programmes begin with a technology discussion, organisations sometimes discover later that the problem they were attempting to solve required changes in governance, incentives or decision processes as well as new tools. This is one reason experienced practitioners often spend considerable time clarifying the operational challenge before committing to major transformation programmes.
When systems change but integrated business planning behaviour does not
During our discussion Dale described a situation that illustrates a pattern many supply chain leaders recognise: a company had recently implemented a new planning platform designed to create a single source of truth for demand and supply decisions. From a technical perspective the system had been implemented successfully and was functioning as expected.
However, planning meetings still involved multiple versions of the same numbers. Different departments continued to maintain their own spreadsheets and forecasts, which meant that participants arrived at meetings with conflicting assumptions about demand or inventory levels. The organisation had invested in a shared system but had not yet developed shared confidence in the underlying data.
Under those conditions planning meetings often shift towards resolving discrepancies between datasets rather than discussing the decisions the business needs to make. Examples like this illustrate how planning transformation often depends on organisational behaviour and governance as much as on technology implementation.
Testing improvements before committing to a supply chain planning transformation
Another idea that emerged from the conversation with Dale relates to how organisations evaluate forecasting improvements.
One practical approach involves testing new forecasting methods using historical demand data before committing to large technology investments. The organisation provides several years of demand history but withholds the most recent period. The forecasting model is then used to generate predictions for the withheld period. Because the organisation already knows the actual demand outcomes, the results can be compared directly with the forecasts produced by the existing process.
This kind of exercise allows the organisation to quantify the improvement delivered by a new forecasting approach before investing in a full transformation programme. It also changes the nature of the discussion. Rather than focusing primarily on vendor claims or theoretical capabilities, the conversation shifts towards measurable operational results.
Thoughts on choosing the right supply chain planning consultants
For organisations considering external support, Dale emphasised that practical experience is often more important than brand recognition. Consultants who have worked in operational supply chain roles tend to approach transformation projects with a stronger awareness of the constraints faced by planning teams. Operational environments involve limited internal bandwidth, competing priorities and the need to maintain service levels while changes are introduced.
The structure of consulting engagements can also influence how projects develop. Organisations sometimes assume that fixed-price contracts provide greater certainty than time-and-materials arrangements. Both approaches involve trade-offs. Fixed-price proposals generally include allowances for uncertainty, while time-based engagements can provide greater transparency about the work being undertaken.
Clear agreement on objectives and expected outcomes tends to matter more than the specific pricing model. When organisations define the operational goals of the transformation and the criteria by which progress will be assessed, collaboration between internal teams and external advisors becomes significantly easier.
A constructive form of scepticism
Supply chain leaders operate in environments where major planning and technology decisions can have long-term operational consequences. A degree of caution when engaging external advisors is therefore understandable. When organisations use that caution to clarify their objectives, test assumptions and examine evidence before committing to large transformation programmes, the overall quality of decision-making often improves.
Consultants can contribute valuable experience and perspective to planning transformation. At the same time, the success of these programmes ultimately depends on how well organisations align their own decision processes and incentives. The most effective transformations seem to emerge when both sides recognise that responsibility for the outcome is shared.
Sources
McKinsey & Company — Unlocking success in digital transformations
Gartner — Integrated Business Planning research overview
https://www.gartner.com/en/supply-chain/topics/integrated-business-planning
Harvard Business Review — Why Transformation Efforts Fail
https://hbr.org/2021/11/why-transformation-efforts-fail