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Accelerating Omnichannel Growth with AI-Driven Retail Analytics

Impact Delivered

  • 75% Faster time-to-market
  • 40% Higher model accuracy
  • 30% Growth in revenue opportunity
  • 20% Lower operating costs
  • The Customer

    The Customer

    One of the largest multinational Retail/CPG enterprises operating across APAC, North America, South America and more, needing to grow sales faster while empowering regional data analysts/scientists with self-serve advanced analytics to deliver high-quality insights quickly.

  • The Challenge

    The Challenge

    3D-Priniting-Challenges-Img.jpg
    • Complex, time-consuming solutions; hard to extract value from data science
    • Collaboration friction among data analysts, scientists, engineers, and product teams
    • Limited scalability of use cases; difficult to generate timely insights
    • Competitive pressure to keep customers loyal and identify value touchpoints
    • Hard to understand store-level/item-category patterns and rely on forecasts for sales
    • Lack of assortment insights impacting on-shelf availability
  • The Solution

    The Solution

    the-solution-img_nextiva.jpg

    Launch an AI-enabled retail analytics foundation integrated with modern data platforms:

    • Build ML for product recommendations, churn prediction, customer segmentation/promotions
    • Implement price elasticity & sales forecasting, store segmentation, OTIF/inventory optimization
    • Use Databricks with Snowflake for rapid development, scalable data science, and analytics enablement
  • Solution Components

    Solution Components

    Databricks; Snowflake

  • The Results

    The Results

    • Personalized recommendations and targeted promotions at scale
    • Forecast-driven inventory and assortment optimization
    • Increased collaboration and use-case throughput
    • Improved sales of hard-to-sell SKUs

Impact Delivered

  • 75% Faster time-to-market
  • 40% Higher model accuracy
  • 30% Growth in revenue opportunity
  • 20% Lower operating costs

The Customer

One of the largest multinational Retail/CPG enterprises operating across APAC, North America, South America and more, needing to grow sales faster while empowering regional data analysts/scientists with self-serve advanced analytics to deliver high-quality insights quickly.

The Challenge

3D-Priniting-Challenges-Img.jpg
  • Complex, time-consuming solutions; hard to extract value from data science
  • Collaboration friction among data analysts, scientists, engineers, and product teams
  • Limited scalability of use cases; difficult to generate timely insights
  • Competitive pressure to keep customers loyal and identify value touchpoints
  • Hard to understand store-level/item-category patterns and rely on forecasts for sales
  • Lack of assortment insights impacting on-shelf availability

The Solution

the-solution-img_nextiva.jpg

Launch an AI-enabled retail analytics foundation integrated with modern data platforms:

  • Build ML for product recommendations, churn prediction, customer segmentation/promotions
  • Implement price elasticity & sales forecasting, store segmentation, OTIF/inventory optimization
  • Use Databricks with Snowflake for rapid development, scalable data science, and analytics enablement

Solution Components

Databricks; Snowflake

The Results

  • Personalized recommendations and targeted promotions at scale
  • Forecast-driven inventory and assortment optimization
  • Increased collaboration and use-case throughput
  • Improved sales of hard-to-sell SKUs
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