Consumer & Retail
Case StudyAdore Me

Adore Me generates product insights by determining customer sentiment with a 92% accuracy based on natural language processing analysis of thousands of reviews

Adore Me, an ecommerce lingerie retailer, analyses 1000s of customer reviews and feedback through natural language processing with a 92% classification accuracy. This helps them understand popularity of products and opinions resulting in product insights and improvements.

Context

"Adore Me is a women’s intimates company based in New York City. The company manufactures and sells lingerie, sleepwear, swimwear, activewear, and other products. Customer reviews were taking too long to go through as Adore Me became more and more popular. But the brand''s identity was built on being close to customers."

The Project

"The solution uses AI informed by customer shopping data to accurately and automatically understand the natural language people use when writing a review about a product. This capability enabled us to score customer sentiment with 92% accuracy, which is incredibly helpful in uncovering topics and opinions about our products. The solution also made it possible for us to see how we stack up against companies in our industry, so that we could establish a competitive path forward."

Data

1000s of customer reviews.

Results

Analyses thousands of reviews weekly and identifies customer sentiments with 92% accuracy. This saves several hours of manual work and leads to a better product line.

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