Case Study: Herman Miller achieves real-time pricing & visibility optimization with Intelligence Node

A Intelligence Node Case Study

Preview of the Herman Miller Case Study

Herman Miller Mirra 2 Chair Product Journey

Herman Miller engaged Intelligence Node to optimize the retail performance of its Mirra 2 chair across global marketplaces. Facing varied pricing, discounting and visibility strategies on platforms like Amazon, Flipkart, Rakuten and Taobao, Herman Miller needed real‑time, accurate product matching and competitive pricing insights to improve assortment, MAP compliance and search visibility.

Intelligence Node deployed its AI‑driven pricing and competitive analytics platform to discover and map exact and similar SKUs, crawl retailer sites with patent‑ready algorithms, and monitor price, discount and visibility trends in real time. Intelligence Node’s solution delivered actionable price guidance (e.g., liquidation $850 / maximum margin $1,100), revealed marketplace tactics (Flipkart’s sustained -24% discount with ~90% visibility, Amazon’s price/visibility correlations), and provided high accuracy and speed (99% product matching, 10‑second refresh rates, setup in under 1 day) to support smarter pricing rules and improved shelf visibility.


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