After seeing so many planning teams caught in long design cycles, endless data discussions, and tools that never reach adoption, we created the 14-Day Sprint to change that. It’s a focused way to use your own data, uncover what’s slowing decisions, and show what a better demand process looks like — clean data, clear ownership, and trusted forecasts – all within two weeks.
SAP IBP Demand in 14 days
INSPIRATION
Endless Design Phases
Teams spend months debating templates, KPIs, and governance before seeing a single forecast. By the time something goes live, the market has already shifted.
Data Debates over Decisions
More time goes into arguing data quality than acting on what it says. Demand planners get stuck cleansing files instead of steering demand.
Forecasting Without Feedback
Models run in isolation—no sales input, no finance bridge, no ownership. Forecasts lose credibility and become “just another report.”
Complex Tools, Simple Use
Systems are configured like science projects – powerful, but nobody touches them. Users revert to Excel because it’s faster and clearer.
No Measured Learning
Accuracy is discussed, not tracked. Bias is noticed, not fixed. Teams can’t prove improvement or link planning effort to value.
HOW WE DO IT
Discovery & Scope Alignment
Rapid workshops to map pain points, key figures, and cross-functional priorities (Finance + Sales)
Live IBP Instance
Pre-configured in days, not months, so every test is run on your tenant.
Outlier Management + Demand Segmentation
Cleansed history, segment-specific models, and smart forecasts that planners trust.
Demand & Financial Review Dashboards
Ready-made analytics for input/performance monitoring, with user feedback for quick tweaks.
Quick-Win Features
The high-impact decisions you flagged in the workshops, delivered inside the sprint.
Role-Based Enablement
Iterative training and hand-over; planners learn by doing, IT stays nearly hands-off.
WHAT YOU GET
Smart Forecasting
Move beyond generic models and into tailored, trusted forecasts.
We segment your historical data, apply relevant statistical methods, and let your team make real-world adjustments – whether it’s based on sales judgment, financial priorities, or upcoming events. Everything is transparent, traceable, and built for planners to trust and explain.
- Demand Segmentation
- Statistical Forecast
- Sales & Finance Adjustment
- Forecast Performance
Revenue
Bring revenue into the heart of your planning process.
With built-in dashboards, you can analyze past performance, simulate future revenue based on pricing scenarios, and tie forecasts directly to commercial outcomes. Instead of working in isolation, Sales and Finance gain a shared, data-driven view of how demand plans translate into business value.
- Revenue (Past & Projections)
- Price Simulation
Profitability
Connect your forecasts with financial reality.
Our approach enables simulation of profitability drivers like costs, price changes, and exchange rate fluctuations – so you’re not just forecasting volume, but understanding the impact on margins. With this integrated view, you can make confident planning decisions that support growth and cost control.
- Profitability
- Cost Simulation
- Exchange rate simulation
Guided Support
Planning isn’t just about tools – it’s about getting people aligned.
We don’t drop a model and leave. Instead, we support your team with a planning process calendar, meeting agendas, and ongoing guidance. From first workshop to final dashboard review, your team is supported, trained, and ready to run IBP independently – with the flexibility to grow into new features.
FAQ
Not at all. The sprint works precisely because it exposes data issues early. We load what you have, identify inconsistencies, and show how much you can achieve even with partial data. The focus is on usability, not completeness.
No - it’s a functional setup you can actually plan with. You’ll see live forecasts, dashboards, and KPIs built on your data. It’s a foundation you can keep improving, not something you throw away after evaluation.
Key stakeholders from demand planning, sales, and finance. The sprint works best when everyone who touches the forecast - or challenges it - is part of the process. It’s about alignment as much as it is about technology.
A working demand planning setup in your IBP tenant, with job chains, forecast logic, and visual dashboards ready. You’ll also have performance insights - accuracy, bias, forecast value add - and clear next steps for improvement.
You can build on the results by extending into Supply or Inventory sprints, connecting demand with capacity and stock. Many teams then scale the same model across other markets or product groups within IBP, using the sprint setup as their new planning standard.
Check out some of our case studies
Lucozade Ribena Suntory: Demand Planning
A fragmented forecasting process was replaced with a structured, exception-based approach in SAP APO. Sales collaboration improved, forecast accuracy increased,...
Fragmented to Unified Planning
A focused two-month engagement delivered a streamlined S&OP process, aligning cross-functional teams and creating a phased SAP IBP roadmap. With...
SAP IBP Education Partner
Read how Romain Blaser (IBP Ready’s founder) led 15+ SAP IBP trainings across Europe, turning complex topics into practical lessons...
