Imagine a smart assistant that reads millions of toy reviews, call-center notes, and survey comments in minutes, then tells Mattel product teams in plain English what kids and parents love, hate, or are confused by — as those opinions are coming in — so they can quickly tweak designs, instructions, or packaging.
Manual review of customer feedback is slow, fragmented, and expensive, which delays product improvements and causes companies to miss emerging issues and trends. This solution turns large volumes of unstructured feedback into real-time, prioritized insights for product and customer teams.
Tight integration of Mattel’s proprietary, historical customer feedback and product data with Google Cloud’s Gen AI stack, plus embedded workflows for product teams that make the insights part of day-to-day decision-making.
Hybrid
Vector Search
Medium (Integration logic)
Context window cost and latency when analyzing very large volumes of unstructured feedback in near real time.
Early Majority
Combines Google Cloud’s Gen AI platform (likely Vertex AI) with Mattel’s large, proprietary corpus of global customer feedback, tailored specifically to consumer product feedback loops rather than generic text analytics.