Prompt

Are there any demand planning software tools that model promotional lift for diaper and formula sales?

Latest observation

Aug 13, 2026 · OpenAI APIWeb search: off

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:

  1. a shortlist by company size/budget, or
  2. a feature comparison table focused specifically on promo lift modeling for CPG.

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