AI Case Study

Disney enhances the search feature in online stores by adding image search and text tagging using machine learning

Disney uses Google's AutoML feature to improve online shopping experience for customers. The new feature includes image search and a model that improves from user search by mapping the likeness between different search terms and results. For example, find all the products that feature a likeness of Lightning McQueen and not just those where your favorite talking race car was tagged in the text description.

Industry

Consumer Goods And Services

Retail General

Project Overview

"Google announced the alpha launch of AutoML Vision, a new service that helps developers — including those with no machine learning (ML) expertise — build custom image recognition models. While Google plans to expand this custom ML model builder under the AutoML brand to other areas, the service for now only supports computer vision models, but you can expect the company to launch similar versions of AutoML for all the standard ML building blocks in its repertoire (think speech, translation, video, natural language recognition, etc.).

Disney, has used this system to make the search feature in its online store more robust because to find all the products that feature a likeness of Lightning McQueen and not just those where your favorite talking race car was tagged in the text description."

Reported Results

Pilot; Results not yet available. However, enhance search capabilities give better insights into customer behaviour

Technology

Neural Architecture Search technology

Function

Marketing

Merchandising

Background

"Google is developing a suite of Machine Learning products that enables developers with limited machine learning expertise to train high quality models"

Benefits

Data