Demand Forecasting
Forecasts will always be wrong—what matters is how you respond. At b2wise, we avoid the trap of chasing perfection and focus instead on what drives real value. Being demand-driven means working within ranges allowing you to filter out noisy forecast tweaks, avoid overreactions, and guiding teams with smart, built-in guardrails. The result: less waste, more confidence, and greater trust across your supply chain in the forecast. We call this Stability-Driven Demand Forecasting.
What is Stability-Driven Demand Forecasting?
Stability-Driven Demand Forecasting flips the script on traditional statistical forecasting. Instead of chasing perfect accuracy, it works within ranges - only highlighting demand forecast changes that impact the plan. No more wasting time tweaking numbers that don’t matter. With tools like Event Orders for promotions and our proprietary Threshold-based Forecast Accuracy Indicator (TFAI) for forecast relevance, planners focus only on what drives value.
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The result? Less noise, fewer tweaks, more confidence in the plan, and a calmer, more stable supply chain.
When we implemented DDMRP, we were surprised by how much demand variability the model naturally absorbed. In some cases by as much as 80%. So imagine getting your forecast 80% wrong and still achieving +97% order fulfilment. And with 30% less inventory.
Brian Poole, Supply Chain Business Process Improvement Manager -
How does Stability Driven Demand Forecasting improve your planning process?
Stability Over Reactivity
Cuts noise by blocking unneeded forecast changes.
No need to chase the perfect forecast
Saves time and cost on over-engineering.
Smart Aggregation
Combines data to reduce noise and improve accuracy.
Collaborative Forecasting
Brings cross-functional input for better credibility.
TFAI – Forecast That Matters
Measures only changes that impact the plan.
The 5 Steps of Stability Driven Forecasting
How b2wise Keeps Your Demand Signals Accurate and Stable
Your statistical forecast is only as good as the sales data it’s based on. That’s why preparing clean and reliable sales data is critical to success.
What b2wise adds: ing the AI Agents to rapidly transform your data into the necessary information required to generate an insightful demand forecast, without losing the critical data points which identifies key attributes like smooth, intermittent, erratic, and sporadic movers.
What b2wise adds: ing the AI Agents to rapidly transform your data into the necessary information required to generate an insightful demand forecast, without losing the critical data points which identifies key attributes like smooth, intermittent, erratic, and sporadic movers.
If you invest time upfront in deciding the best aggregation level for forecast generation, you’ll significantly reduce workload and improve accuracy. Forecasting at a location product level will result in the biggest error and the highest workload.
What b2wise adds: We leverage AI agents to analyze your data and recommend the optimal forecasting level for your business - delivering maximum impact with minimal effort. Powered by the Forecast Pro AI engine, trusted by over 25,000 companies worldwide, our approach applies advanced machine learning techniques to generate highly accurate, data-driven forecasts.
What b2wise adds: We leverage AI agents to analyze your data and recommend the optimal forecasting level for your business - delivering maximum impact with minimal effort. Powered by the Forecast Pro AI engine, trusted by over 25,000 companies worldwide, our approach applies advanced machine learning techniques to generate highly accurate, data-driven forecasts.
The saying “a picture is worth a thousand words” couldn’t be more accurate in demand forecasting. Visual graphs uncover trends, issues, and insights you won’t catch in tables.
What b2wise adds: Offering a rich set of forecasting visualizations—including daily, weekly, and monthly views that compare sales history to forecasts and budgets, aggregate summaries, waterfall charts illustrating forecast progression, and best-fit graphs evaluating algorithm performance. Plus, our Threshold-based Forecast Accuracy Indicator highlights which forecast adjustments won’t materially impact your operational model, helping you focus on what truly matters.
What b2wise adds: Offering a rich set of forecasting visualizations—including daily, weekly, and monthly views that compare sales history to forecasts and budgets, aggregate summaries, waterfall charts illustrating forecast progression, and best-fit graphs evaluating algorithm performance. Plus, our Threshold-based Forecast Accuracy Indicator highlights which forecast adjustments won’t materially impact your operational model, helping you focus on what truly matters.
There’s a saying in forecasting: “A single bad forecast is better than many forecasts.” It’s vital to have one version of the truth and have everyone try to enrich the same forecast.
What b2wise adds: Demand Forecast Collaboration allows your team to update forecasts using the unit of measure that works best for them. Every suggestion and change is tracked with a complete audit log, including the collaborator’s identity and the reason behind each update—ensuring full transparency and account.
What b2wise adds: Demand Forecast Collaboration allows your team to update forecasts using the unit of measure that works best for them. Every suggestion and change is tracked with a complete audit log, including the collaborator’s identity and the reason behind each update—ensuring full transparency and account.
If you don’t measure performance, you can’t improve it. And without alerts, outliers and issues slip through unnoticed.
What b2wise adds: Featuring key metrics such as demand forecast accuracy, error, bias, and TFAI, our flexible grid setup enables you to build exception-based processes that pinpoint exactly which forecasts require attention—and why. Using reason codes, you can capture the causes of demand variances to facilitate thorough root cause analysis. Notably, supplier disruptions were identified as the single biggest driver of high forecast errors last year.
What b2wise adds: Featuring key metrics such as demand forecast accuracy, error, bias, and TFAI, our flexible grid setup enables you to build exception-based processes that pinpoint exactly which forecasts require attention—and why. Using reason codes, you can capture the causes of demand variances to facilitate thorough root cause analysis. Notably, supplier disruptions were identified as the single biggest driver of high forecast errors last year.
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