Case Study: Multinational Retail Corporation achieves $10M+ annual savings with Intelligence Node

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

Multinational Retail Corporation, the world's largest retailer (≈$514B in annual revenue with 11,600 stores and 11 country‑specific e‑commerce sites), struggled to build an in‑house price intelligence solution after acquiring a search startup and investing 3+ years and tens of millions in R&D. Facing high risk, scale challenges around product crawling and matching, and fierce competition from Amazon, the customer evaluated third‑party providers and selected Intelligence Node to address these gaps.

Intelligence Node deployed its pricing and competitive intelligence platform — including the Infeed API — using AI/ML for SKU‑level exact and similar product matching and 10‑second data refreshes to feed pricing, inventory and SERP data into the retailer’s backend. The implementation let the retailer manage 45 million SKUs, drove a 2.5% margin uplift and 1.5% sales increase across 5 million critical SKUs, delivered $10M+ in annual savings by redeploying a 100‑person team, and enabled real‑time competitive pricing to better compete with Amazon.