One of the large manufacturers in North America operates multiple plants worldwide and has a sales, production, and service presence in about 30+ countries. To drive digital transformation, they set out to reimagine their planning and supply chain functions. The objective was to optimize business results based on collaborative decision-making and a demand-driven operating model for MRP.
To do this, Sam the VP in charge of this initiative needed an integrated end-to-end planning system to support automated statistical forecasts and real-time simulations within single platform. The SAP IBP was selected as the system of choice which optimizes planning results using forecast algorithms and predictive analytics to create standard, global templates for demand management as well as sales & operations. This streamlined methodology increases consistency across the organization by aligning individual business plans with industry-accepted standards which ultimately would lead to more successful overall strategies.
Thinking Minds were able to promptly present Jane as one of its top IBP consultants to the manufacturer. Jane who has strong IBP experience was called to provide a proof of concept. Jane is a hands-on pro-active troubleshooter who can rapidly identify business problems & design innovative solutions in diverse environments and recommend alternatives to resolve conflicts between business requirements and standard system functionality. Specializing in SAP IBP implementations, with her proven ability to be a problem-solver in various industries, Jane was excited to take on the challenge of delivering a proof of concept for a new integrated end-to-end planning system using SAP to support automated statistical forecasts and real-time simulations. She knew that she would need to be proactive and quickly identify any business problems that may arise to design innovative solutions.
She worked closely with the client to understand their needs and rapidly provided a prototype of a solution that met most of their requirements. The client was impressed with her ability to quickly adapt to their unique environment and recommend alternatives to resolve conflicts between business requirements and standard system functionality. Thanks to Jane’s hard work, the client can now successfully move to implement a transformative planning solution that improves their business results. They are confident that they would also benefit from better transparency of data sources, forecast accuracy improvement, and faster simulation and scenario capabilities.
What the POC actually proved
SAP IBP is not one product, it is a family of planning modules, and a POC earns its keep by proving which ones fit before anyone commits to a global template. For this manufacturer, the POC centered on two modules: IBP for Demand, which uses statistical forecasting and demand sensing to generate baseline forecasts, and IBP for Sales and Operations, which gives planners a single workspace for what-if simulations across demand, supply, and finance. The prototype connected to their existing data, ran forecast algorithms against real history, and let planners simulate scenarios in real time instead of waiting on overnight batch jobs.
What the client really bought with the POC was evidence. Evidence that their data could feed the model. Evidence that forecast accuracy would improve over the spreadsheet process. Evidence that planners would actually trust and use the simulations. That evidence is what turned a risky global program into a funded one.
Why a POC is the right first move for IBP
Planning transformations rarely fail because of the software. They fail because of data nobody trusted, forecast models nobody validated, and planners who never bought into the new process. A POC attacks all three before the big money is committed. It forces the data conversation early: which sources are clean, which need work, and what the latency really is. It tests the forecast algorithms against the company’s actual demand patterns, including the promotions, seasonality, and new-product launches that make textbook models fall apart. And it puts the tool in front of real planners, whose feedback is worth more than any vendor demo.
There is also a political dimension. A successful POC gives the executive sponsor something concrete to show the board: real numbers, real screens, real planners saying it works. “Trust us, IBP is great” does not unlock a global rollout budget. A working prototype does.
The POC-to-production path
A POC is a beginning, not a blueprint. The typical path from here runs through three phases. First, template design: lock the global planning process, the data model, and the forecast methodology, with explicit decisions about what varies by region and what does not. Second, a pilot: roll the template out to one region or product line, run it in parallel with the old process, and measure forecast accuracy and planner adoption honestly. Third, the global rollout: wave by wave, with the pilot team acting as coaches for each new region.
The pitfalls are predictable because they repeat on every program. Master data quality is the silent killer; IBP amplifies whatever mess exists in product hierarchies and customer masters. Excel shadow processes are the cultural killer; if planners keep their real plans in spreadsheets, the system becomes an expensive reporting layer. And change management is the underestimated line item; planners who have run MRP the same way for twenty years need training, patience, and a reason to believe the new numbers.
The staffing takeaway
There is a staffing lesson buried in this story that matters more than the technology. IBP consultants with real implementation experience are scarce, and the difference between a senior hands-on consultant and a generic planning resource shows up fastest at the POC stage. Jane could prototype quickly because she had seen the failure modes before: she knew which business requirements would fight standard functionality and came with alternatives ready. Bringing that level of experience in at the POC, rather than after the design is locked, is one of the cheapest risk-reduction moves a planning transformation can make. The cost of a senior consultant for a few weeks is trivial next to the cost of discovering your template does not work during a global rollout.
