Executive Summary
A Fortune 50 Retailer’s product management and brand teams aimed to improve products using direct customer feedback, but were drowning in noise. With over 500,000 customer reviews across multiple channels, extracting relevant insights to improve in-house branded product quality and brand perception specifically, was nearly impossible. Off-the-shelf tools provided irrelevant insights as they could not distinguish reviews containing product-related insights from those centered around customer complaints or in-store experiences. This resulted in wasted product team’s time given the lack of actionable intelligence.
Aible helped the Retailer shift from “review-noise overload” to insight-led product innovation. By leveraging AI to understand product-specific context and intent, Aible empowered product managers to uncover hundreds of critical product issues, identify brand risks early, and align messaging with customer sentiment.
This led to faster decision-making, a significant reduction in manual analysis time, and the identification of high-impact product changes. As a result, the U.S. retailer increased customer satisfaction, mitigated brand risks early, and unlocked millions in potential topline revenue improvements.