# Multilingual E-Commerce Search Capabilities Amazon Trained in AI Model in Several Languages By Daniel Johnson | Published 2020-08-19 | Business Source: Trend Hunter, https://www.trendhunter.com/trends/ai-model1 References: [venturebeat](https://venturebeat.com/2020/01/08/amazon-researchers-trained-an-ai-model-in-multiple-languages-to-improve-product-searches/) & [amazon.science](https://www.amazon.science/blog/multilingual-shopping-systems?tag=trenhunt0f-20) [Amazon](https://www.trendhunter.com/trends/amazon-interests) was able to train an AI model to improve product searchers in multiple different languages. The new AI model is named as a multitask model, where functions overlap in order to improve outputs. In order to accomplish this Amazon researchers trained the system with a number of different languages simultaneously. Nikhil Rao, an Amazon applied scientist, stated that training the system with two languages at ones allows the system to fill gaps with another language. Improving language functions is important for the e-commerce giant, a it currently has services available across 14 different countries. Additionally, Rao spoke about the potential future applications fo multitask models, "In ongoing work, we are continuing to explore the power of multitask learning to improve our customers’ shopping experiences.” Image Credit: Shutterstock ## Trend Insights (Trend Hunter) - Score: 1.8/10 - Popularity: 10% | Activity: 34% | Freshness: 9% - Audience gender: 50% men, 50% women - Primary generations: Gen Z, Millennial, Gen X - Top markets: North America, South America, Europe, Asia, Africa ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Business](https://www.trendhunter.com/business) ## Key Themes ### What's Driving This Trend - **Multitask Learning:** Training AI models with multiple languages simultaneously to improve search capabilities. - **Improved Language Functions:** Developing AI models to enhance language capabilities in e-commerce platforms. - **Enhanced Shopping Experiences:** Using multitask learning to improve customer satisfaction and navigation in online shopping. ### Who This Affects Most - **E-commerce:** Applying multitask learning to improve search functionalities in online retail platforms. - **Artificial Intelligence:** Leveraging multitask learning to enhance language processing capabilities in AI systems. - **Retail:** Implementing improved language functions in e-commerce platforms to enhance customer experiences. ## Related on Trend Hunter - [AI-Powered eCommerce Features](https://www.trendhunter.com/trends/amazon-interests.md) - [AI-Generated Product Listings](https://www.trendhunter.com/trends/amazon-ai-product-descriptions.md) - [Web Search AI Models](https://www.trendhunter.com/trends/trained-ai-model.md) - [Nationwide AI Ecosystems](https://www.trendhunter.com/trends/india-ai-infrastructure.md) - [AI-Assisted Shoppable Searches](https://www.trendhunter.com/trends/aipowered-shopping-experience.md) - [AI-Generated Language Models](https://www.trendhunter.com/trends/massively-multilingual-speech.md) - [AI Shopping Assistants](https://www.trendhunter.com/trends/targetpilot.md) - [AI-Powered Shopping Experts](https://www.trendhunter.com/trends/aipowered-shopping-experts.md) - [Low-Cost AI Learning Frameworks](https://www.trendhunter.com/trends/zerosearch.md)