I get why people mention C, but for SKU rationalization and flexibility, it's really B, D, and E. Those all relate to product attributes that can be consolidated without making the catalog a mess. I'm pretty sure that's the logic here, but correct me if I'm missing something!
If the main goal is to reduce catalog complexity and not just pricing tweaks, then B, D, and E make sense. Price breaks (C) usually stay as price book entries, not extra SKUs. Attribute values and term lengths often clutter catalogs way more. Anyone run into Revenue Cloud client projects where C actually was rationalized too?
Easy to get mixed up here but I’d pick B and C. Seen similar in practice sets, and Quote objects sometimes come up for migration tasks. Worth checking the official admin guide for object mapping if you want more details. Not 100 percent sure though, open to correction.
I don't think A is always the most fitting here, I'd go for C. Sometimes you just can't move everything into one automation type if Revenue Cloud features don't cover all the needs. Maybe I'm off, but I feel like C's the trap option. Agree?