Organisations focus intently on what a new planning system will cost to implement. Far fewer calculate what it costs when the system goes live but the people never truly adopt it. That gap is where value goes to die.
There is a version of digital planning transformation that looks like success from the outside. The project delivered on time. The system went live. The steering committee signed off. And yet, six months later, planners are still running shadow spreadsheets, decision-making has not changed, and the supply chain performance improvements promised in the business case have quietly failed to materialise.
This is not a technology failure. It is an adoption failure. And it carries a financial cost that most organisations never explicitly measure, precisely because it is diffuse, gradual, and easy to attribute to other causes.
The scale of this problem is significant. Research consistently shows that only around 40% of digital transformation projects achieve their stated business objectives.1 For supply chain and planning specifically, where the value case typically rests on measurable outcomes such as improved forecast accuracy, reduced inventory, and better service levels, the failure to drive adoption does not just represent a missed opportunity. It represents a direct, ongoing financial loss.
What Poor Adoption Actually Costs
The costs of poor planning adoption fall into three broad categories, each of which compounds the others.
Wasted investment. For a mid-sized organisation, ERP and planning system ownership costs between 3% and 5% of annual revenue.2 When adoption is low, that investment delivers a fraction of its potential return. The system runs. The licences are paid. But the capability it was purchased to unlock sits dormant. Research by Panorama Consulting found that the average cost overrun on ERP projects is 189%, meaning organisations are already paying significantly more than planned before they even begin to address the adoption challenge.3
Operational underperformance. When planners revert to workarounds rather than using the system as designed, the supply chain continues to operate on the same logic as before. Forecast accuracy stagnates. Inventory buffers remain inflated as a hedge against uncertainty. Service levels are defended by expediting rather than planning. These are not abstract costs: excess inventory alone represents a significant proportion of working capital in most manufacturing and distribution businesses.
The cost of re-transformation. Organisations that fail to drive adoption rarely accept the situation indefinitely. Within two to three years, many begin a second attempt, often involving additional consulting spend, re-training programmes, or in some cases a system replacement. According to Supply Chain Digital, businesses surpassed their original ERP budgets by an average of 18% in 2020 alone, and 71% of professionals called for greater transparency on total project costs.4 A failed first adoption makes the second attempt harder and more expensive.
"The cost of poor adoption is not a one-off write-down. It is a recurring charge, paid every month through inflated inventory, missed service levels, and planning decisions that fall short of what the system was capable of enabling."
Why Adoption Fails: The Patterns Are Consistent
The reasons for poor planning adoption are well understood. They are also, despite being well understood, persistently underaddressed. Research shows that 48% of companies cite managing organisational change as their biggest ERP challenge, with a further 39% pointing to insufficient user training and support.3 Yet in most transformation programmes, the change and capability workstreams are still treated as secondary to the technical deployment.
The failure modes tend to cluster around a few recurring patterns. Training is delivered too close to go-live, leaving planners with insufficient time to develop genuine competence before they are expected to perform under pressure. Process redesign focuses on system configuration rather than the behaviours and decision-making logic that the system is meant to support. Leadership engagement is treated as a launch communication rather than an ongoing reinforcement of new ways of working.
The result is a system that works technically, staffed by planners who use it partially, making decisions that partially reflect its capabilities. It is a partial transformation. And partial transformations deliver partial results.
The Value That Remains Locked
It is worth dwelling on what full adoption actually makes possible, because this is the value that poor adoption leaves on the table.
Among organisations that fully adopt their digital planning systems and embed new planning behaviours, the outcomes are material. Research indicates that organisations implementing AI-enabled planning within their ERP can achieve a 20% improvement in forecasting accuracy and a 15% reduction in operational costs.5 Separately, 91% of companies that fully realised their ERP implementation reported optimised inventory levels as a core benefit, while 78% achieved measurable productivity gains.6
These are not marginal gains. For a business turning over £200 million, a 15% reduction in operational costs within supply chain is a transformative financial outcome. The technology to enable it is already installed in most organisations attempting digital planning transformation. The barrier is not capability in the system. It is capability in the people using it.
Making the Hidden Cost Visible
One of the most important things an organisation can do before embarking on a digital planning transformation is to quantify what poor adoption would cost them, not just what poor implementation would cost them. These are different calculations, and most business cases only address the latter.
A credible adoption cost model should account for: the carrying cost of inventory levels that remain elevated because planners are not using demand signals effectively; the service level penalties and expediting costs that persist when planning decisions are still made defensively; the productivity cost of dual operating models, where planners maintain both the new system and legacy spreadsheets simultaneously; and the reputational and morale cost within planning teams who invested time in a change that never fully landed.
When these costs are made explicit, the investment case for getting adoption right from the start becomes straightforward. The cost of proper change enablement and capability building is a fraction of the cost of a failed adoption.
The Grange Perspective: Adoption Is the Transformation
At Grange, we work from the conviction that digital planning only delivers value when people adopt it. For us, adoption is not the final stage of a transformation programme. It is the transformation.
That means pairing deep supply chain planning expertise with human-centred change enablement, from the earliest stages of programme design. It means building capability in planning teams that goes beyond system training to develop the judgement, confidence, and decision-making behaviours that the new system is designed to support. And it means putting the right metrics in place from day one, so that adoption is measured and managed as rigorously as any technical workstream.
The organisations that avoid the hidden cost of poor adoption are those that stopped treating it as a hidden cost and started treating it as the central risk of their transformation. That reframing changes everything: how programmes are designed, how resources are allocated, and how success is defined.
The technology is rarely the problem. The question is always whether your organisation is genuinely ready to use it.
Is your planning adoption strategy as strong as your implementation plan?
Grange enables faster, right-first-time digital planning transformations by pairing proven planning expertise with the change support and capability building needed for real, lasting adoption.
Book a conversation with the Grange team →
References
1. McKinsey & Company (2023). Delivering large-scale IT projects on time, on budget, and on value.
2. NetSuite / Gartner (2024). ERP Total Cost of Ownership: Benchmarks by Company Size.
3. Panorama Consulting Group (2024). 2024 ERP Report: Benchmarking ERP Implementation Success.
4. Supply Chain Digital (2020). ERP Cost Transparency and Budget Overruns in Enterprise Implementations.
5. DocuClipper / Industry Research Synthesis (2025). ERP Statistics 2025: Adoption Trends, Market Size, and Automation Insights.
6. Panorama Consulting Group (2023). 2023 ERP Report: Realised Benefits and Post-Go-Live Performance.
Statistics cited are drawn from published industry research. Readers are encouraged to verify figures against the latest available editions of each report, as data is periodically updated.