Home Case Studies Predictive Ad Slot Fulfillment Forecasting

Predictive Ad Slot Fulfillment Forecasting
For a Leading Global Ride-Sharing Network

Architecting a scalable MLOps ecosystem leveraging advanced time-series forecasting to predict ad slot fulfillment with 92% accuracy, optimizing global marketing spend and maximizing ROI.

92%
SARIMAX Accuracy
98%
Forecast Score
90%
Strategy Precision

The Challenge

The client sought to empower merchants by strategically allocating sponsored advertisements during peak user engagement periods.

The Solution

Nineleaps engineered a comprehensive predictive analytics framework, transitioning from historical observation to advanced forecasting. By combining deep Exploratory Data Analysis (EDA) with sophisticated time-series models and ensemble decision trees, we transformed complex engagement metrics into highly precise, actionable allocation strategies, ultimately reducing wasted spend and driving superior merchant ROI.

Services

  • Data Engineering
  • Data Science & AI

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