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RITNOA Success Story

Transforming Demand Forecasting for a Global Retail Giant.

The Challenge

A Fortune 500 retailer was losing 15% of annual revenue to inventory inefficiencies and static forecasting models that failed during volatile market shifts.

The Solution

RITNOA deployed a custom MLOps pipeline integrating Gradient Boosting and Transformer-based time-series forecasting. We prioritized explainability (XAI) so buyers could trust the automated replenishment signals.

22%

Accuracy Lift

$3.4M

Annual Savings

Zero

Bias Incidents

100%

Automation