Empowering your Ecommerce Search Capabilities using Google Retail Search

In today’s competitive ecommerce landscape, businesses need to do everything they can to provide a great customer experience. One of the most important aspects of any ecommerce website is the search function. A good search function can help customers find the products they are looking for quickly and easily, which can lead to increased sales.

Organizations now have the ability to provide Google-quality search, browse and recommendations on their own digital properties, helping to increase conversions and reduce search abandonment.

Google Cloud Platform (GCP) offers a powerful tool for ecommerce businesses called Retail Search. Retail Search is a cloud-based search engine that can be used to power the search function on an ecommerce website. Retail Search uses machine learning to understand user intent and context, and it can deliver relevant search results even for complex queries.

Key Features Retail Search

Below are the key features of Retail search —

State-of-the-art AI: Take advantage of Google’s expertise in AI that enables advanced query understanding and personalization. This produces better search and browse results as well as recommendations from even the broadest queries. In addition, you can effectively match product attributes with website content for fast, relevant product discovery with semantic search.

Optimized results: Leverage user interaction and ranking models to meet specific business goals. Customize recommendations leveraging page-level optimization, buy-it-again and revenue optimization capabilities to deliver your desired outcome: engagement, revenue, or conversions. Apply business rules to fine-tune what customers see, diversify product displays, and filter by product availability, custom tags, etc.

Fully managed: No need to preprocess data, train or hypertune machine learning models, load balance or manually provision your infrastructure to handle unpredictable traffic spikes. We do it all for you automatically. Plus, quickly connect data with your existing tools like Google Analytics 360, Tag Manager, Merchant Center, Cloud Storage, BigQuery.

Benefits of using Retail Search

These are the benefits of using Retail Search —

Power your ecommerce with Google-quality search : With Retail Search and browse, retailers can implement Google-quality experiences that are customizable and built upon Google’s understanding of user intent and context.

Help shoppers search for products with an image: Vision Product Search uses ML-powered object recognition and lookup to provide real-time results of similar, or complementary, items from your product catalog.

Deliver relevant recommendations at scale: Recommendations AI can understand nuances behind customer behavior, context, and SKUs in order to drive engagement across channels through relevant recommendations.

Retail Search Use Cases

Here are some use-cases of Google Retail Search —

• A large retailer with a wide variety of products can use Retail Search to help customers find the products they are looking for quickly and easily. Retail Search can understand complex queries and deliver relevant results even for products that are not well-known or that are not often searched for.
• A small business with a limited online presence can use Retail Search to improve the search function on their website. Retail Search can help to attract more visitors to the website and to increase sales.
• An ecommerce business that sells products in multiple languages can use Retail Search to translate search queries into different languages. This can help to improve the search experience for customers from all over the world.
• An ecommerce business that sells products that are frequently updated can use Retail Search to keep its search index up-to-date. This can help to ensure that customers always see the most relevant search results.

If you are an ecommerce business that is looking for a way to improve the customer experience and to increase sales, Retail Search GCP is a powerful tool that you should consider.

Refer to official documentation for more details.

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