The first question that kept popping up in my inbox this year wasn’t “Which planning platform is best?” It was simpler and more difficult.
“Will this transformation produce results that we can measure?”
That one line echoes across multiple threads in different words and sets the tone. The decision wasn’t about features or logos. They were about agility, accuracy, and resilience: shortening planning cycles, improving forecast performance, and freeing up working capital while maintaining compliance.
What SCM leaders really want
In one discussion, the head of SCM planning requested separate estimates across three planning platforms, stating that timelines are compressed and quick comparative clarity is essential so management can make decisions with confidence. The subtext was not “prove which tool wins,” but “prove how which choices lead to speed and service continuity.”
Elsewhere, there has been a consistent insistence on clarifying change management, including who receives training, how implementation is measured, how “shadow planning” is prevented, and what success looks like once go-live. The words were straightforward: “Can you meet this requirement end-to-end?” Because leaders knew that if implementation was slow, gains would be lost.
And then came the risk list. Data ownership, multiple ERP integrations, explainability, and the need to ring-fence roles to avoid scope expansion or time lag. You can almost hear the warning in the margins telling you to write clearly.
The pattern behind SCM conversion requests
When you take the transformation threads of your SCM plan together, a simple pattern becomes clear: Results don’t come from platform selection alone. These come from aligning three forces based on what your business values.
- change: Adoption as a measurable outcome rather than a wish.
- data: Governance and harmony as a prerequisite for agility.
- Intelligence: Rather than adding flash, the AI was removing friction.
Change: The difference between promise and performance
One of the recurring themes from our clients was to include training frameworks, role clarity, and recruitment KPIs upfront. The goal was to make the new system a single source of truth and prove that planners weren’t reverting to personal spreadsheets when pressure mounted. When implementation is treated as a contractual outcome, reviewed in a steering forum, and tracked like any other KPI, improvements in cycle time and accuracy persist.
In some instances, leaders promoted contract language that linked penalties to continued noncompliance. It’s not meant to be punitive, but to send the right signal. This is not a technology project. It’s a behavioral change with real business implications.
Data: Where Resilience Really Begins
The most sobering list of risks was all about data. Multi-ERP landscapes, legacy interfaces, unclear UAT ownership – each can cause delays if left implicit. Instead, SCM planning leaders advocated for a written integration plan that specified data ownership and quality checkpoints that translated ambiguity into a calendar. This is what makes scenario modeling a reality when disruption occurs. Structured, managed data is the fuel that allows planners to quickly create reliable options.
Intelligence: AI as a driver of results
If change is action and data is the scaffolding, then AI is its accelerator. The thread has moved past the hype and settled into realism. Use agents and automation to prioritize exceptions, surface insights, and reduce manual hygiene tasks (checklists, health checks, performance monitoring) so planners spend their time making decisions instead of investigating. SCM leaders are currently evaluating the SCM plan’s health/observability assets and housekeeping/performance checklists. These checklists, when combined with light-touch GenAI, compress cycles and improve planning quality without introducing black-box risk.
In addition to planning, SCM leaders took notes on ingestion and orchestration, continuing to emphasize how procurement workflow intelligence closes the loop. When ingestion is orchestrated, upstream requests arrive cleaner. Downstream planning has fewer surprises. That’s not a platform claim. This is a result of the operating model and shows up in cycle time metrics.
What businesses want to see on their scoreboards
Throughout the SCM thread, when someone asked “How do I know it worked?” the most reliable answer was a number that companies understood:
- Agility becomes your competitive moat, reducing planning cycle times by approximately 50% (e.g., from weeks to days).
- Because customer service continuity depends on predictive accuracy, we achieved a 10-15% increase in predictive accuracy (MAPE).
- Working capital should come back as a result, not a promise, so inventory turnover increases by 1-2 percentage points within a year.
- Shadow planning erodes all of the above, so adoption rates are tracked (and audited).
- Intelligent triage reduced exception rates because planners had to spend time making decisions instead of adjusting.
These metrics come as a requirement rather than an afterthought, and the most powerful emails bring them to the forefront as a measure of success.
where does this leave us
If this year has taught me anything, it’s that while platform discussions are necessary, they are not sufficient. The SCM leader asked about the outcome and then asked what conditions would likely result in the outcome.
- Treat change as a deliverable with KPIs, governance, and enforceable actions.
- Treat your data as infrastructure: design it, own it, and continually improve it.
- Treat AI as an accelerator. It applies when you want to reduce cycle time, improve quality, and stay controlled and accountable.
Then the scoreboard will be processed automatically. Planning cycles are shortened. The prediction holds true. Stock will be returned. Compliance is easier because actions are consistent and resiliency becomes part of the business rhythm rather than an emergency plan.
As it turns out, the real throughline in my inbox wasn’t to prioritize a single platform. It prioritizes business outcomes, and we’re more confident that those outcomes come from orchestration, not logos. That’s what SCM folks wanted to hear this year. And with the right operating model, it’s a model that can help you write next year.
About the author
Bakul Sharma is a trusted advisor to global clients in the Cognizant Supply Chain Practice. He is actively involved in supply chain transformation, consulting, and advisory roles across multiple industries. He is involved in supply chain transformation for Fortune 500 companies around the world. LinkedIn: https://www.linkedin.com/in/bakulsharma/ Email: [email protected] , [email protected]
