Developers
August 20, 2020

How AI is Revolutionizing the Online Shopping Industry with More Personalized Experience

Online Shopping now is working together with AI. Understand how Google is using AI to optimize the shopping experience for online customers across YouTube and Google Search to improve your platforms.

In this technology era, online shopping has become part of our life. We can find almost everything we need in online stores. As the emerging artificial intelligence technology continues to evolve, it is changing the online shopping industry as well.  But do you know how AI is being used in online shopping? The shopping experience is being transformed in a way that doesn’t have a way back. Once the entire online shopping industry uses AI, it will be whole different user experience.

To ensure customer loyalty, in online shopping, and any consumer-based industry, personalized customer experience is a requirement. Product recommendations are an effective way to personalize this experience.

Google has been delivering recommendations on YouTube and Google Search for years. They do this through Recommendations AI. It gives organizations a path so they can deliver personalized product recommendations to their customers.  

Beta Stage

Recommendations AI is now in the beta stage. This makes businesses aware of the new modality of online shopping coming up. It’s not being developed and tested by any company, it‘s being implemented by Google. Chances are, it‘‘s here to stay.

With Recommendations AI, you can upgrade your personal strategy and replace your existing solution. You no longer have to curate rules or manage extensive recommendation models built on your own.

The system puts together recommendations by emphasizing on the customer rather than on the products. The system puts together the history of customers and uses this data to produce personalized product recommendations.

Recommendations AI uses deep learning models that use items and user metadata to bring insights from millions of items worldwide. There is a constant iteration on the insights, and it all happens in real-time.  

The models are automatically trained and the service delivers a simplified model of the experience in a way that it can scale. It works with an intuitive UI, being compliant with the best user experience, and design thinking practices.  

Forget about large teams trying to train custom models spending months of work and thousands in human resources. The service is built so you can focus on the implementation rather than the development.

How do I get started?

It takes a few minutes to get started. You have to create a Google Cloud project, and then integrate it into the tools you currently use. After importing your data, you can choose the model type and specify your optimization plan so you can start training your model.

The training of the model can take from 2 days up to a week. It all depends on how well you implement it. Before delivering the service to your customers, you have a trial option so that you can preview what you are about to provide.

Google Recommendation AI has been working closely together with the Google Brain and Research team and department. They are together pushing the limits on what‘s possible in terms of Artificial Intelligence.

The models can actually support massive catalogs of tens of millions of items and the customers have the opportunity to discover the entire catalog in a simple browse.

With Recommendations AI you can re-train your models daily so that you can obtain insights from the catalogs and the shopping trends. This way you can incorporate the data into the recommendations that you provide to your customers.

The service is currently in public beta and there's also a new pricing structure. This new structure lets you determine how many models to leave active and which ones are recommended to be paused. What is the purpose of this? Cost-effectiveness. If you leave unused models working, it not only loses efficiency but also the capital.

In conclusion, Google has developed and now released the public beta version of Google Recommendations AI. The service helps you provide recommendations for your products and services to your customers in a direct way and with the use of Artificial Intelligence. You no longer have to have an in-house building of models, they are provided to you by the service. The service uses and builds the models based on deep learning. The idea of using the Recommendations AI for your company is to obtain better insights from the customer and from the data the customer generates. The idea for the customer is to receive the best customer experience in online shopping, achieved with the help of Artificial Intelligence.

TagsOnline ShoppingShopping ExperienceAIRecommendations AI
Lucas Bonder
Technical Writer
Lucas is an Entrepreneur, Web Developer, and Article Writer about Technology.

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DevelopersAugust 20, 2020
How AI is Revolutionizing the Online Shopping Industry with More Personalized Experience
Online Shopping now is working together with AI. Understand how Google is using AI to optimize the shopping experience for online customers across YouTube and Google Search to improve your platforms.

In this technology era, online shopping has become part of our life. We can find almost everything we need in online stores. As the emerging artificial intelligence technology continues to evolve, it is changing the online shopping industry as well.  But do you know how AI is being used in online shopping? The shopping experience is being transformed in a way that doesn’t have a way back. Once the entire online shopping industry uses AI, it will be whole different user experience.

To ensure customer loyalty, in online shopping, and any consumer-based industry, personalized customer experience is a requirement. Product recommendations are an effective way to personalize this experience.

Google has been delivering recommendations on YouTube and Google Search for years. They do this through Recommendations AI. It gives organizations a path so they can deliver personalized product recommendations to their customers.  

Beta Stage

Recommendations AI is now in the beta stage. This makes businesses aware of the new modality of online shopping coming up. It’s not being developed and tested by any company, it‘s being implemented by Google. Chances are, it‘‘s here to stay.

With Recommendations AI, you can upgrade your personal strategy and replace your existing solution. You no longer have to curate rules or manage extensive recommendation models built on your own.

The system puts together recommendations by emphasizing on the customer rather than on the products. The system puts together the history of customers and uses this data to produce personalized product recommendations.

Recommendations AI uses deep learning models that use items and user metadata to bring insights from millions of items worldwide. There is a constant iteration on the insights, and it all happens in real-time.  

The models are automatically trained and the service delivers a simplified model of the experience in a way that it can scale. It works with an intuitive UI, being compliant with the best user experience, and design thinking practices.  

Forget about large teams trying to train custom models spending months of work and thousands in human resources. The service is built so you can focus on the implementation rather than the development.

How do I get started?

It takes a few minutes to get started. You have to create a Google Cloud project, and then integrate it into the tools you currently use. After importing your data, you can choose the model type and specify your optimization plan so you can start training your model.

The training of the model can take from 2 days up to a week. It all depends on how well you implement it. Before delivering the service to your customers, you have a trial option so that you can preview what you are about to provide.

Google Recommendation AI has been working closely together with the Google Brain and Research team and department. They are together pushing the limits on what‘s possible in terms of Artificial Intelligence.

The models can actually support massive catalogs of tens of millions of items and the customers have the opportunity to discover the entire catalog in a simple browse.

With Recommendations AI you can re-train your models daily so that you can obtain insights from the catalogs and the shopping trends. This way you can incorporate the data into the recommendations that you provide to your customers.

The service is currently in public beta and there's also a new pricing structure. This new structure lets you determine how many models to leave active and which ones are recommended to be paused. What is the purpose of this? Cost-effectiveness. If you leave unused models working, it not only loses efficiency but also the capital.

In conclusion, Google has developed and now released the public beta version of Google Recommendations AI. The service helps you provide recommendations for your products and services to your customers in a direct way and with the use of Artificial Intelligence. You no longer have to have an in-house building of models, they are provided to you by the service. The service uses and builds the models based on deep learning. The idea of using the Recommendations AI for your company is to obtain better insights from the customer and from the data the customer generates. The idea for the customer is to receive the best customer experience in online shopping, achieved with the help of Artificial Intelligence.

Online Shopping
Shopping Experience
AI
Recommendations AI
About the author
Lucas Bonder -Technical Writer
Lucas is an Entrepreneur, Web Developer, and Article Writer about Technology.

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