Prompt
Are there any demand planning software tools that model promotional lift for diaper and formula sales?
Latest observation
Yes. Several demand planning / supply chain planning tools can model promotional lift for consumer packaged goods like diapers and infant formula. In practice, this is usually done through a combination of:
- Statistical forecasting with promotion variables
- Causal models / ML demand sensing
- Retail execution and POS data integration
- What-if simulation for promo scenarios
Common tools that can support this
Here are some well-known platforms used in CPG demand planning that can handle promo lift modeling to varying degrees:
-
SAP Integrated Business Planning (IBP)
Can incorporate promotion history, price changes, and causal drivers. Often used with custom promo analytics. -
o9 Solutions
Strong scenario planning and causal forecasting; can model promotional events and estimate lift. -
Blue Yonder (formerly JDA)
Demand planning and forecasting with promotion-aware capabilities, especially for retail/CPG. -
Kinaxis RapidResponse
Good for scenario planning; promotion modeling is usually done via integrated planning and analytics. -
RELEX Solutions
Strong in retail and consumer goods, with demand forecasting that can account for promotions and events. -
Oracle Demand Management / SCM Cloud
Supports causal factors and promotion-driven demand patterns. -
Tools specialized in forecast analytics
- ToolsGroup
- Anaplan with custom forecasting models
- Arthur AI / AutoML-based forecasting stacks
- Databricks / Snowflake + custom ML models if you want bespoke promo-lift modeling
What matters for diapers and formula specifically
These categories can have unique promo dynamics because demand is affected by:
- Price sensitivity
- Couponing / discount depth
- Multi-buy promotions
- Brand loyalty
- Retailer-specific promotions
- Inventory constraints and stockouts
- Substitution effects between pack sizes or formulas
A good tool should let you model:
- Baseline demand
- Incremental lift from promotion
- Cannibalization
- Post-promo dip
- Elasticity by SKU/store/channel
- Holiday and seasonality effects
Best fit depends on your needs
- If you want enterprise planning with built-in promo awareness, look at RELEX, o9, Blue Yonder, SAP IBP
- If you want deep customization and better control of lift modeling, consider Anaplan + analytics, or a custom ML pipeline
- If you’re mainly trying to predict promo lift accurately from historical data, a dedicated forecasting/price-promo analytics solution or custom model may outperform generic planning software
If you want, I can also give you:
- a shortlist by company size/budget, or
- a feature comparison table focused specifically on promo lift modeling for CPG.
Observation history
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