Case Study

Multinational Retail Leader saves $10M+ annually using Intelligence Node API

Multinational Retail Leader saves $10M+ annually using Intelligence Node API

Multinational Retail Leader saves $10M+ annually using Intelligence Node API

This case study explains how the world’s largest retailer saved over $10 million annually by using the Intelligence Node API for real-time pricing intelligence. The multinational corporation generates $514 billion in annual revenue and operates approximately 11,600 stores under 59 banners across 28 countries, alongside 11 country-specific eCommerce websites. To compete directly with Amazon and other major marketplaces, the retailer required fast, accurate pricing data at scale. Intelligence Node delivered exact match accuracy and rapid 10-second data refresh rates, enabling timely pricing decisions, improved competitiveness, and significant cost savings. The solution replaced internal efforts to build price intelligence tools, accelerating performance while reducing operational complexity.

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