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SAP IBP Worst Practice #6: The PLM Weighting Trap That Wrecks Your Forecast Product Lifecycle Management (PLM) in SAP IBP (and APO) is supposed to be your secret weapon for phase-in / phase-out modeling and #analog forecasting. Instead, it's [...]

SAP IBP Worst Practice #5: Heuristics on high gear ⚡ Fast planning ≠ smart planning. A lesson every supply chain team eventually learns the hard way. A typical worst practice in SAP IBP implementations: using the Heuristic engine in highly constrained, [...]

🚨 SAP IBP Worst Practices... continuing on to Supply Planning and IO ⚠️ WP #4: One lead time. Every product. Every location. What could go wrong? We keep seeing this in SAP IBP Inventory Optimization implementations — and it [...]

SAP IBP Worst Practices WP3: When Your Algorithm Forecasts a Ghost — The Hidden Cost of Ignoring PLM Flags It is not about the model but everything that supports it. WP3: Not considering PLM or other flags that reflect [...]

Worst Planning Practices in SAP IBP — WP #2: A "Best Fit" Model Pool with No Design Thinking Continuing our Worst Planning Practices in SAP IBP series — The Best Fit configuration checked all the right boxes during implementation, [...]

Worst Planning Practices in SAP IBP — WP #1: Applying an Aggressive Forecast Model to a New SKU Most SAP IBP problems don't announce themselves. They show up months later — as excess inventory, a write-off, or a board [...]

Implementing SAP IBP Inventory Optimization in CPG — what actually works Most implementations take longer than they should — not because the technology is hard, but because teams try to boil the ocean before proving value. 💡 Secondly, the [...]

SAP IBP Heuristic vs Optimizer: When to Use Each Engine (and Why the Wrong Choice Costs You Service Levels) Most SAP IBP teams default to the Heuristic engine because it's fast. In constrained, multi-node supply chains, that habit quietly [...]

#Demand_Modeling_in_SAP_IBP Three steps involved in setting up a Demand Model in SAP IBP are described in this modeling primer videos for Demand Planners. Step 0 — General Settings surfaces the key configuration parameters: planning horizon, time profile, aggregation level, [...]

In an era of relentless market shifts, a "good guess" is no longer a viable strategy for supply chain leaders. At Valtitude, we recognize that moving from reactive firefighting to proactive planning requires more than just a software license—it [...]

Machine Learning is no longer a future concept! Focusing on how it’s revolutionizing demand planning, machine learning (ML) has become a powerful tool for businesses. This shift lets ML spot real-world trends, automate decisions, and personalize experiences. Accurate demand [...]