In today’s fast-paced digital commerce world, businesses need to connect their systems with various apps and services to stay competitive. Customers now expect personalized experiences. Google’s AI and data solutions help businesses create these tailored experiences in e-commerce, including AI-powered search, product recommendations, chatbots, and content creation. By combining Google Cloud services with commercetools‘ cloud-based platform, businesses can build flexible, scalable, and sustainable commerce solutions, boosting their competitiveness and customer satisfaction.
Google Cloud’s Application Integration is an Integration Platform as a Service (iPaaS) solution that offers tools to simplify data connections and management between various applications and services. Recently, a commercetools connector was released (currently in public preview), providing users with two key benefits.
- Accelerate their e-commerce platform with Google Cloud solutions.
- Integrate with over 80 available connectors in the library.
By connecting commercetools data with Google Cloud services like BigQuery and Vertex AI using the commercetools connector, users can access advanced analytics and machine learning tools in their e-commerce platforms. For example, they can use commercetools data to generate personalized insights or build and run machine learning models with BigQuery ML.
In this article, we’ll look at the features of the commercetools connector and how it can improve the customer experience.
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How to connect the commercetools platform with Google Cloud
commercetools provides a flexible commerce platform used by over 450 companies to create great shopping experiences online and offline. It helps some of the world’s largest businesses reduce risks, cut costs, and boost revenue.
The commercetools connector enhances “application integration” with three main benefits:
- Easier Integration: Connect commercetools with Google Application Integration’s tools and services easily. Pre-built connectors simplify linking Google services (like BigQuery and Vertex AI) and third-party systems, speeding up development and reducing costs.
- Better Data Flow: Use Google Cloud services like BigQuery and Vertex AI, along with pre-built connectors and Vertex AI prediction tasks, to enable powerful data analysis and machine learning for your e-commerce. Integration tasks can orchestrate and transform data flows between various applications. You can also customize your integration process to drive business insights, smart product recommendations, personalized promotions, and more.
- Faster Innovation: Reduce the effort needed to build and maintain custom integrations. The drag-and-drop interface of Application Integration allows you to focus on creating innovative customer experiences.
Commercetools Integration Connectors Use Case
1.Commercetools Data to BigQuery
The commercetools connector helps organizations transfer data from commercetools to BigQuery in real time. This allows businesses to gain customer insights, improve customer experiences, and increase conversion rates.
The example below shows how to push product data from commercetools to BigQuery. Integration is triggered by an API call, though any available triggers, including schedulers or publish/subscribe messages, can be used. Application Integration fetches product data from commercetools and processes it in an iterative loop. This loop calls a sub-integration for each product, collects all products, and stores them in BigQuery.
2. Real-Time AI-Driven Insights
Power your e-commerce with on-demand predictions from Vertex AI. You can use event-triggered predictions to get real-time answers from Vertex AI models, whether it’s generating responses to text prompts, recommending products, or forecasting product demand.
In the example below, we use Vertex AI tasks in Application Integration and publish/subscribe messages to trigger Vertex AI predictions. commercetools product data is extracted and used as prompts for Vertex AI models to generate product descriptions. This can be further enhanced by using AI-generated descriptions to update products in the business tools.
3. E-Commerce Personalization
Today’s users interact across various devices and digital channels before making a purchase. For example, they often search on websites and engines before buying. This makes personalized experiences across different channels crucial.
With commercetools, you can implement a seamless e-commerce strategy by keeping data consistent across channels. The commercetools connector integrates with Google Cloud’s customer data platforms and recommendation engines to create a central hub for customer data, enabling consistent personalization across all channels.
By combining the power of these two leading platforms, businesses gain the tools to create exceptional customer experiences, driving growth and success. Get started now: Find commercetools on the Google Cloud Marketplace, visit the commercetools and Google partner pages, and learn more about Application Integration and the commercetools connector.
This article is translated and adapted from the official Google Cloud blog. At Microfusion Technology, we have also leveraged AI technology to achieve business benefits for enterprises. If you’re interested, please feel free to contact us. We look forward to continuing to bring you the latest and most relevant topics.
