![]() The Merchandising Studio’s ‘knowledge hub’ serves as a central merchandising playbook for best practices, tips, and expertise from the Algolia team. In addition, Algolia’s AI-powered dynamic re-ranking functionality continuously makes data-driven decisions while factoring in business rules as overrides. We are excited to use The Merchandising Studio further, working with Algolia to help meet our business goals.” Lee continued, “A stand-out feature for us has been the analytics section, especially the category pages, where we have been able to precisely see at a quick glance how customers shop on our product listing pages and make commercial changes based on this, to optimize our customer experience. Algolia’s fast indexing capabilities and data infrastructure on the back-end helps ensure that merchandisers can also scale without constraint. The Merchandising Studio can be activated in minutes without disrupting a retailer’s ongoing operations. This capability allows my team to adapt to customer behavior trends swiftly and strategically.” ![]() In just two clicks, it also enables us to interpret our analytics and create rules based on visualizing customer queries. Katherine Lee, online trading executive, Fortnum & Mason, noted: “The Algolia Merchandising Studio has helped visualize our data in a more concise and in-depth manner. ![]() Equipped with the tool’s powerful insights, merchandisers can deliver highly engaged online experiences, boost customer loyalty, and drive higher conversion rates. Category-level analytics and discovery channel data are used to pinpoint optimization opportunities. The Merchandising Studio provides digital merchandisers with several new capabilities, including no-code automation tools that eliminate repetitive, manual tasks. The file’s type is stored in the fileType parameter of your recordExtractor.Algolia, the world’s only end-to-end AI Search and Discovery platform, today unveiled its new Merchandising Studio, a no-code interface that uses Algolia’s advanced AI technology to give merchandisers a range of powerful tools to enhance their business outcomes in real-time at every stage of the shopper’s journey. When this setting is used and a document is encountered, the parameter $ is assigned the transformed HTML of document. ![]() doc, xls and ppt for Microsoft Office documents.This is the default when no fileTypesToMatch parameter is present To enable document extraction, add the fileTypesToMatch setting to at least one of your crawler’s actions. " /> this is a mail to test msg file this is a mail to test msg file From To Recipients This message was sent using a msg file The metadata presented here isn’t guaranteed to appear on every document. The Tika server converts the example email into the following HTML: The file type email includes all documents related to electronic mail, currently the Crawler supports Outlook Mail Message (. doc file in the image above, the Tika server will expose the following HTML, which your crawler then passes to its recordExtractor. test-docx-file.pages Test PDF file content įor example, given the. The metadata presented here is not guaranteed to appear on every document. pdf file in the image above, the Tika server will expose the following HTML which your crawler then passes to your recordExtractor. Language detection/information is currently not available.įor example, given the. ![]()
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