A 3,500-SKU pricing matrix living in spreadsheets
Global Crafting Supplier manages 3,500 SKUs across B2B and B2C segments. Their pricing structure was genuinely complex. Quantity tiers, customer tags, and material type all feeding into a matrix of rules. The problem wasn't the complexity. It was where the complexity lived.
It lived in spreadsheets. Every week, the operations team spent 15–20 hours manually updating pricing CSVs. When entries were wrong — and they were, roughly 60 times a month — it generated support tickets, eroded trust with wholesale accounts, and burned more ops time to fix. On top of that, a third-party filter app was loading 1.2MB of JavaScript on every collection page, adding 1.5 seconds of latency to the discovery path and driving a 62% bounce rate.
The catalog couldn't scale to 10,000 SKUs under this model. The labor cost would scale with it.