World map showing multi-tier supply chain lead time variability across US, Mexico, China, and India locations in SAP IBP Inventory Optimization

🚨 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 could quietly kill the usability and the credibility of the tool even before go-live. 💀

An integration consultant is loading master data for an SAP IBP Inventory Optimization implementation.

📂 Some plants have it. Some don’t.

🤔 The values look suspect. ⏰ Deadline pressure mounts. So the consultant uses a simple input file that has just one value for all…

👉 Pick an “average” say 30 days and apply it across the board.

🏭 Domestic distributors, 🚛 regional suppliers, 🚢 overseas manufacturers.

✏️ Same number. Move on. ✅

🙃 Contrary to LinkedIn posts here preaching people to ignore lead time, what could go wrong in this situation?

📊 Look at what real lead times actually look like in a typical multi-tier network:

🇺🇸 → Cleveland fasteners: 3 to 7 days
🇺🇸 → Atlanta sensors: 10 to 18 days
🇺🇸 → Houston resin drums: 18 to 32 days
🇲🇽 → Monterrey castings: 25 to 45 days
🇨🇳 → Shenzhen electronics: 55 to 85 days
🇮🇳 → Mumbai pharma API: 65 to 95 days

❌ Three root-cause failures

  • No lead time governance – master data was loaded without validation or source-of-truth alignment
  • Deadline pressure overriding data quality – a known gap was papered over rather than resolved
  • No post-load audit – the IO model ran on flawed inputs, and no one tested the outputs against operational reality

This is how IBP gets blamed for bad recommendations that were never the system’s fault.

🤷‍♂️ What do you think? All locations created equal?! 🌍⚖️

✅ What should you do instead?

  • Treat lead time as Tier 1 master data – not a field to average and move past
  • Source lead time values from purchase orders or GR/GI history, not assumptions
  • Where values are genuinely unavailable, use SKU/supplier segmentation to apply defensible defaults by lane – not a single global average
  • Build a lead time validation step into every IO implementation checklist, pre-go-live

📌 An IO model configured on average lead times is not optimizing inventory. It is optimizing fiction.

Struggling with lead time master data in your SAP IBP rollout? Contact Valtitude – we’ve helped Fortune 500 supply chains fix exactly this before go-live. → https://valuechainplanning.com/usability-consulting/SAP-IBP

💬 Drop your thoughts in the comments 👇

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