Neglecting cold-start coverage means newly added items receive no recommendation exposure until they accumulate interactions, creating a self-reinforcing cycle where only established items get traffic. Image and text neural embeddings directly mitigate this risk by providing similarity signals independent of interaction history. For businesses with rapidly rotating catalogs - such as online marketplaces and deal aggregators - this gap translates directly into lost revenue on new inventory.