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Google Cloud Discovery AI

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What is Inbenta Search?

Enhance the accuracy of your results using the Inbenta Semantic Search Engine, which understands the underlying intent of customer questions. Being the most widely deployed self-service feature, present on 85% of websites, the ability to deliver the most relevant information can greatly elevate the overall customer experience on your platform. Inbenta Search consolidates data from a variety of customer relationship management systems, including Salesforce.com and Zendesk, along with other selected online resources. By utilizing Inbenta's advanced Symbolic AI and Natural Language Processing technologies, this sophisticated semantic search tool interprets user queries effectively, provides prompt and accurate responses, and contributes to lower support costs. Moreover, the integration of Inbenta’s Symbolic AI technology negates the necessity for extensive data training, enabling rapid setup and immediate benefits from the Inbenta Search engine. As a result, businesses can not only boost customer satisfaction but also optimize their operational expenditures in a streamlined manner, ultimately leading to a more efficient service delivery model.

What is Google Cloud Discovery AI?

Businesses today are empowered to integrate search, browsing, and recommendation capabilities akin to Google's within their own digital environments, which can significantly enhance conversion rates and reduce the chances of consumers abandoning their search efforts. By adopting sophisticated search functionalities similar to those offered by Google, companies can effectively decrease the rate at which customers leave their searches prematurely. Additionally, enhancing the shopping experience through the ability to search for products using images makes the entire process more user-friendly and intuitive. Personalizing the shopping experience not only fosters better conversion rates but can also lead to increased average order values. Utilizing tools such as Retail Search and browsing features allows retailers to develop customized experiences based on Google's insights regarding user intent and contextual factors. Moreover, Recommendations AI excels at capturing the nuances of customer behavior, situational contexts, and product details, thereby promoting meaningful interactions across multiple channels with targeted suggestions. Furthermore, the application of machine learning-driven object recognition and lookups enables businesses to deliver instant results for similar or complementary products within their inventory. This amalgamation of cutting-edge technologies not only enhances the overall user experience but also strategically equips organizations to fulfill consumer demands more effectively in an increasingly competitive landscape. Ultimately, the integration of these features positions businesses to thrive by catering to the evolving preferences and expectations of modern shoppers.