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Driving Revenue by Optimizing Price in eCommerce

Impact Delivered

  • Higher pricing accuracy
  • Faster pricing decisions
  • Stronger promotional impact
  • Better customer satisfaction
  • The Challenge

    The Challenge

    APAC product teams must predict optimal pricing for marketplaces (e.g., Amazon) and incorporate competitive pricing, market trends, and promotional effects. Existing analysis is complex and time-consuming, making it hard to choose the best revenue model for varying price points.

  • The Solution

    The Solution

    the-solution-img_nextiva.jpg

    Operationalize price optimization at SKU level:

    • Business-driven apps to find optimal prices via automated analytics
    • Elasticity modeling per SKU using advanced transformations (decay, laddering)
    • Optimization algorithms estimating revenue impact from pricing inputs
  • Solution Components

    Solution Components

    SKU-level elasticity models; Competitive/market factor ingestion; Pricing optimizer; Automated analysis workflows

  • The Results

    The Results

    • Month-over-month pricing accuracy gains
    • Automated competitive/market factor analysis
    • SKU-wise optimal pricing & promotions
    • Improved customer experience

Impact Delivered

  • Higher pricing accuracy
  • Faster pricing decisions
  • Stronger promotional impact
  • Better customer satisfaction

The Challenge

APAC product teams must predict optimal pricing for marketplaces (e.g., Amazon) and incorporate competitive pricing, market trends, and promotional effects. Existing analysis is complex and time-consuming, making it hard to choose the best revenue model for varying price points.

The Solution

the-solution-img_nextiva.jpg

Operationalize price optimization at SKU level:

  • Business-driven apps to find optimal prices via automated analytics
  • Elasticity modeling per SKU using advanced transformations (decay, laddering)
  • Optimization algorithms estimating revenue impact from pricing inputs

Solution Components

SKU-level elasticity models; Competitive/market factor ingestion; Pricing optimizer; Automated analysis workflows

The Results

  • Month-over-month pricing accuracy gains
  • Automated competitive/market factor analysis
  • SKU-wise optimal pricing & promotions
  • Improved customer experience
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