On the eve of the National Retail Federation’s annual convention, Google Cloud announced a slew of new AI-powered tools for retailers. They are designed to ease the rollout of chatbots and AI, improve search and create more personalized shopping experiences.
There appears to be a significant need for improvement in all these areas. Only about one-third of consumers who have used virtual assistants are satisfied with them and nearly 20% don’t want to use them again, according to a new survey from IBM.
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However, consumers remain very interested in using AI. Most (59%) would like to use AI applications as they shop and 80% of those who haven’t used the technology for shopping would like to try it, according to IBM’s report “Revolutionize retail with AI everywhere: Customers won’t wait.”
Google’s offerings are aimed squarely at these issues. The new tools include:
- Conversational Commerce makes it easier to embed chatbots on websites and mobile apps. They can have “helpful and nuanced” conversations with shoppers looking for products, and make suggestions based on a shopper’s preferences.
- The Complementing Conversational Commerce Solution automatically generates product descriptions, metadata, categorization suggestions and more from as little as a single product photo. It can also generate new product images from existing ones and product descriptions.
- Vertex AI Search adds new large language model (LLM) capabilities, allowing sellers to custom-tune an LLM to their unique product catalog and shoppers’ search patterns. It can provide consumers with more relevant search results by better ranking potential products as a fit for any given search term.
- Customer Service Modernization integrates a retailer’s existing CRM data with chatbots to improve self-service, make product recommendations, schedule appointments, check order status and more.
The company also unveiled Google Distributed Cloud Edge, which is designed to make it easier for retailers to use AI in locations with low or no internet. The current primary use cases for it are store analytics, frictionless checkout and streamlined mission-critical store operations.
Google’s announcement was made the same day Microsoft also introduced AI-powered tools for retailers and two days after Walmart unveiled genAI search technology for consumers to use.
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Google has recently introduced a new set of AI-powered tools for retailers to enhance the shopping experience for their customers. These tools are designed to help retailers improve their online presence, increase sales, and provide a more personalized shopping experience for their customers.
The new tools include a range of features that use artificial intelligence and machine learning to analyze customer data and provide insights into shopping behavior. This allows retailers to better understand their customers and tailor their marketing and sales strategies accordingly.
One of the key features of the new tools is the ability to personalize the shopping experience for each customer. By analyzing customer data, the AI can make recommendations for products that the customer is likely to be interested in, based on their previous purchases and browsing history. This can help retailers increase sales by targeting customers with products that they are more likely to buy.
Another feature of the new tools is the ability to optimize pricing and promotions. The AI can analyze market trends and customer data to determine the best pricing strategy for each product. This can help retailers maximize their profits while still offering competitive prices to their customers.
The new tools also include a range of analytics and reporting features that allow retailers to track their sales and performance. This can help retailers identify areas where they can improve their operations and make data-driven decisions to increase their sales and profitability.
Overall, Google’s new AI-powered tools for retailers are designed to help retailers improve their online presence and provide a better shopping experience for their customers. By using artificial intelligence and machine learning, retailers can gain valuable insights into their customers’ behavior and tailor their marketing and sales strategies accordingly. This can help retailers increase their sales and profitability while providing a more personalized shopping experience for their customers.
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