SAP IBP chart showing stat forecast projecting predecessor volumes while successor SKU actuals trend far lower

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 quietly killing forecast accuracyπŸ‘‡

πŸ“Œ The Setup Looks Perfect

A new SKU launches. A planner maps it to a predecessor with a similar historical pattern.

βœ… Boxes checked. βœ… Go-live ready. βœ… Everyone moves on.

⚠️ The Hidden Problem

No one touched the weighting on the predecessor’s history.

Because IBP and APO both default to 100% weighting. 🎯

Translation: the system assumes your shiny new SKU will sell at the exact same volume as the established product it’s replacing.

❌ The Result

πŸ“ˆ Stat forecast runs at predecessor levels

πŸ“‰ Actuals come in far below

πŸ’Έ Over-forecasting β†’ bloated inventory β†’ blown KPIs

Look at the chart below πŸ‘‡ β€” see how the magenta stat forecast keeps projecting predecessor-level volumes while successor history (light blue) is telling a completely different story? That’s the trap in action.

πŸ’¬ And no β€” better stat modeling will NOT save you.

You’ll get a beautifully fitted model… at the wrong volume level. Garbage in, polished garbage out. πŸ—‘οΈβœ¨

🧠 Before you set up that PLM combination, ask:

πŸ”Ή Is this a true substitution / replacement? β†’ predecessor weight may stay high

πŸ”Ή Is this a new product borrowing a reference pattern? β†’ weight MUST reflect marketing’s volumetric estimate

πŸ”Ή Is the launch a gradual ramp-up? β†’ use a phase-in curve (standard or custom-built)

🎯 The Bottom Line

PLM is not about linking two SKUs. It’s about managing how history, volume, and timing transition from one product to another. πŸ”„

Get the weights wrong, and every downstream number β€” forecast, inventory, S&OP commitment β€” inherits the error.

Get them right, and PLM becomes one of the most powerful levers in IBP. πŸ’ͺ

Don’t let a default setting sabotage your product launches β€” PLM done right is one of IBP’s most powerful levers. Explore our SAP IBP consulting services or contact us for a configuration review. β†’ https://valuechainplanning.com/usability-consulting/SAP-IBP

Read:Β SAP IBP Worst Practices WP5Β β€” Why Defaulting to Heuristics in Constrained Supply Networks Costs You