Case Study: Adidas for Prada Re-source achieves actionable NFT pricing and availability insights with Intelligence Node

Reviewing the NFT collection on the world’s largest NFT marketplace, OpenSea

Adidas for Prada re-source is a 3,000-tile community NFT collection on OpenSea that faced rapid post-launch value erosion and low trading volumes amid a volatile crypto market. Owners were frequently overpricing assets while bidders submitted low offers, driving median and average prices down and reducing sales activity — a challenge that prompted Adidas for Prada re-source to work with Intelligence Node for deeper market visibility and pricing insight.

Intelligence Node applied its AI-driven analytics and proprietary machine‑learning/similarity engine to track pricing and availability on OpenSea in real time, collating launch-to-date data and uncovering concrete findings (highest sale 1.3 ETH / $2,125.58 the day after launch; listed averages down ~30%; collection-level average ~0.575 ETH; product count declining from 84 to 79). These insights showed that underpriced listings (e.g., 0.09 ETH) attracted competitive bids and gave Adidas for Prada re-source actionable recommendations to optimize pricing, positioning, and promotion — demonstrating Intelligence Node’s ability to deliver measurable market intelligence for NFT collections.

Adidas for Prada Re-source