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README.md

@@ -17,9 +17,9 @@ pipeline_tag: tabular-regression
 
 # GCC Ramadan Retail Demand Forecasting Model
 
-> Built by [OCG Dubai](https://ocg-dubai.ar) — Agentic Commerce for the GCC
+> Built by [OCG Dubai](https://ocg-dubai.ae) — Agentic Commerce for the GCC
 
-An XGBoost Regressor model for predicting retail demand in GCC (Gulf Cooperation Council) countries based on Islamic calendar features. Part of the [OCG Dubai Agentic Commerce](https://ocg-dubai.ar) platform, which uses AI agents to power intelligent retail operations across the Gulf region.
+An XGBoost Regressor model for predicting retail demand in GCC (Gulf Cooperation Council) countries based on Islamic calendar features. Part of the [OCG Dubai Agentic Commerce](https://ocg-dubai.ae) platform, which uses AI agents to power intelligent retail operations across the Gulf region.
 
 ## Model Description
 
@@ -133,9 +133,9 @@ The model was trained on a synthetic dataset representing 15+ years of retail de
 
 ## About OCG Dubai
 
-[OCG Dubai](https://ocg-dubai.ar) is an AI-powered Agentic Commerce platform built for the GCC market. We use multi-agent systems to automate retail intelligence, demand forecasting, halal compliance, and dynamic pricing — all calibrated for Islamic calendar seasonality and regional consumer behavior.
+[OCG Dubai](https://ocg-dubai.ae) is an AI-powered Agentic Commerce platform built for the GCC market. We use multi-agent systems to automate retail intelligence, demand forecasting, halal compliance, and dynamic pricing — all calibrated for Islamic calendar seasonality and regional consumer behavior.
 
-- Website: [ocg-dubai.ar](https://ocg-dubai.ar)
+- Website: [ocg-dubai.ae](https://ocg-dubai.ae)
 - Dataset: [GencoDiv/gcc-ramadan-retail-patterns](https://huggingface.co/datasets/GencoDiv/gcc-ramadan-retail-patterns)
 
 ## License