{"id":3334,"date":"2025-07-18T15:51:14","date_gmt":"2025-07-18T07:51:14","guid":{"rendered":"https:\/\/www.rzautoassembly.com\/?p=3334"},"modified":"2025-07-18T15:58:53","modified_gmt":"2025-07-18T07:58:53","slug":"autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2","status":"publish","type":"post","link":"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/","title":{"rendered":"What Impact Will Artificial Intelligence Have on Industry?"},"content":{"rendered":"<p><img fetchpriority=\"high\" decoding=\"async\" class=\"size-medium wp-image-3335 aligncenter\" src=\"https:\/\/www.rzautoassembly.com\/wp-content\/smush-webp\/2025\/06\/\u975e\u6807\u81ea\u52a8\u5316\u8bbe\u5907\u5e7f\u544a\u521b\u610f-361-1.png.webp\" alt=\"\" width=\"300\" height=\"286\" srcset=\"https:\/\/www.rzautoassembly.com\/wp-content\/smush-webp\/2025\/06\/\u975e\u6807\u81ea\u52a8\u5316\u8bbe\u5907\u5e7f\u544a\u521b\u610f-361-1.png.webp 1328w, https:\/\/www.rzautoassembly.com\/wp-content\/smush-webp\/2025\/06\/\u975e\u6807\u81ea\u52a8\u5316\u8bbe\u5907\u5e7f\u544a\u521b\u610f-361-1-300x287.png.webp 300w, https:\/\/www.rzautoassembly.com\/wp-content\/smush-webp\/2025\/06\/\u975e\u6807\u81ea\u52a8\u5316\u8bbe\u5907\u5e7f\u544a\u521b\u610f-361-1-1024x979.png.webp 1024w, https:\/\/www.rzautoassembly.com\/wp-content\/smush-webp\/2025\/06\/\u975e\u6807\u81ea\u52a8\u5316\u8bbe\u5907\u5e7f\u544a\u521b\u610f-361-1-768x734.png.webp 768w, https:\/\/www.rzautoassembly.com\/wp-content\/smush-webp\/2025\/06\/\u975e\u6807\u81ea\u52a8\u5316\u8bbe\u5907\u5e7f\u544a\u521b\u610f-361-1-13x12.png.webp 13w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>Introduction: Looking ahead to 2025, artificial intelligence (AI) will play an increasingly important role in all walks of life and become a core driver for industrial transformation and upgrading. Through applications such as automation, prediction, recommendation, and scheduling, AI can not only improve production efficiency and optimize resource allocation but also enhance customer experience and strengthen enterprise competitiveness.<\/p>\n<p>In 2025, AI will have a profound impact on industry. With continuous technological progress and the expansion of application scenarios, the potential of AI in various industries is becoming increasingly evident, especially in key areas such as automation, prediction, recommendation, and scheduling. Whether in manufacturing, retail, logistics, finance, medical care, or other industries, innovative applications of AI are redefining the working methods and operation models of traditional industries. Therefore, understanding how AI will change the industrial landscape in the future has become an urgent topic for industry practitioners and enterprise decision-makers.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_73 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#I_Automation_Liberating_Productivity_and_Improving_Operational_Efficiency\" title=\"1. Automation: Liberating productivity and improving operational efficiency\">1. Automation: Liberating productivity and improving operational efficiency<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#Manufacturing_Intelligent_Manufacturing_and_Production_Process_Optimization\" title=\"Manufacturing: Intelligent Manufacturing and Production Process Optimization\">Manufacturing: Intelligent Manufacturing and Production Process Optimization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#Retail_Process_Automation_and_Personalized_Services\" title=\"Retail: Process Automation and Personalized Services\">Retail: Process Automation and Personalized Services<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#II_Prediction_Using_Data_to_Predict_the_Future_and_Enhance_Decision-Making_Ability\" title=\"II. Prediction: Using Data to Predict the Future and Enhance Decision-Making Ability\">II. Prediction: Using Data to Predict the Future and Enhance Decision-Making Ability<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#Financial_Industry_Intelligent_Investment_and_Risk_Prediction\" title=\"Financial Industry: Intelligent Investment and Risk Prediction\">Financial Industry: Intelligent Investment and Risk Prediction<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#Manufacturing_Demand_Forecasting_and_Supply_Chain_Optimization\" title=\"Manufacturing: Demand Forecasting and Supply Chain Optimization\">Manufacturing: Demand Forecasting and Supply Chain Optimization<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#III_Recommendation_Intelligent_and_Personalized_Services\" title=\"III. Recommendation: Intelligent and Personalized Services\">III. Recommendation: Intelligent and Personalized Services<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#E-Commerce_and_Retail_Personalized_Shopping_Experience\" title=\"E-Commerce and Retail: Personalized Shopping Experience\">E-Commerce and Retail: Personalized Shopping Experience<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#Enterprise_Services_Improving_Customer_Conversion_Rates\" title=\"Enterprise Services: Improving Customer Conversion Rates\">Enterprise Services: Improving Customer Conversion Rates<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#IV_Scheduling_Intelligent_Scheduling_Helps_Optimize_Operations\" title=\"4. Scheduling: Intelligent scheduling helps optimize operations\">4. Scheduling: Intelligent scheduling helps optimize operations<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#Logistics_Industry_Intelligent_Route_Planning_and_Resource_Scheduling\" title=\"Logistics Industry: Intelligent Route Planning and Resource Scheduling\">Logistics Industry: Intelligent Route Planning and Resource Scheduling<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#Manufacturing_Production_Scheduling_and_Capacity_Planning\" title=\"Manufacturing: Production Scheduling and Capacity Planning\">Manufacturing: Production Scheduling and Capacity Planning<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.rzautoassembly.com\/hu\/autonomous-delivery-drones-the-next-stage-of-e-commerce-logistics-2\/#Conclusion\" title=\"Conclusion\">Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"I_Automation_Liberating_Productivity_and_Improving_Operational_Efficiency\"><\/span><strong><b>1. Automation: Liberating productivity and improving operational efficiency<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>As one of the most direct applications of artificial intelligence, automation has achieved remarkable results in many fields, especially in manufacturing, retail, and service industries. The automation potential of AI is reshaping the competitive landscape of these industries. With the introduction of AI, heavy and repetitive work can be completed automatically, thus greatly releasing the productivity of manual labor.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Manufacturing_Intelligent_Manufacturing_and_Production_Process_Optimization\"><\/span><strong><b>Manufacturing: Intelligent Manufacturing and Production Process Optimization<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>In manufacturing, AI has been widely used in the automated management of production lines. Traditional production processes often rely on manual operations and experience, which are inefficient and prone to errors. By introducing AI and robot technology, manufacturers can achieve more efficient and accurate production processes. AI can monitor the status of equipment on the production line in real-time, predict potential failures, and avoid unexpected equipment shutdowns, thereby improving equipment utilization and production efficiency.<\/p>\n<p>For example, AI can analyze machine sensor data to predict equipment maintenance cycles, enabling preventive maintenance before equipment problems occur. This intelligent maintenance greatly reduces downtime, lowers maintenance costs, and improves production continuity.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Retail_Process_Automation_and_Personalized_Services\"><\/span><strong><b>Retail: Process Automation and Personalized Services<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>In the retail industry, AI not only helps merchants improve operational efficiency but also provides customers with more personalized shopping experiences. AI can automatically process orders, manage inventory, optimize supply chains, and predict customer needs through data analysis to help merchants formulate more reasonable pricing and promotion strategies. For instance, Amazon\u2019s smart warehouses are a typical case of AI automation applications, where robots and AI work together to complete a series of tasks such as product storage, packaging, and transportation.<\/p>\n<p>In addition, AI can recommend personalized products by analyzing customers\u2019 purchase history and browsing records, improving customer satisfaction and purchase conversion rates. Through these automated applications, retailers can save a lot of labor costs and improve overall operational efficiency.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"II_Prediction_Using_Data_to_Predict_the_Future_and_Enhance_Decision-Making_Ability\"><\/span><strong><b>II. Prediction: Using Data to Predict the Future and Enhance Decision-Making Ability<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>The prediction function of AI mainly models and analyzes a large amount of historical data through deep learning and big data analysis technologies to predict future trends. This capability has been widely used in finance, manufacturing, logistics, and other industries.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Financial_Industry_Intelligent_Investment_and_Risk_Prediction\"><\/span><strong><b>Financial Industry: Intelligent Investment and Risk Prediction<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>In the financial field, artificial intelligence is used to predict stock market trends, evaluate the risks of financial products, and conduct intelligent investments. For example, AI helps investors predict the trend of a certain stock by analyzing a large amount of historical transaction data, macroeconomic indicators, and corporate financial conditions. AI can also monitor market changes in real-time and adjust investment portfolios promptly to help investors achieve higher returns.<\/p>\n<p>In addition, AI can play an important role in credit review and risk assessment. Traditional credit evaluation usually relies on manual experience and basic financial data, while AI can more accurately assess a person\u2019s credit risk by analyzing more comprehensive data (such as social behavior, consumption habits, etc.), improving the risk management capabilities of financial institutions.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Manufacturing_Demand_Forecasting_and_Supply_Chain_Optimization\"><\/span><strong><b>Manufacturing: Demand Forecasting and Supply Chain Optimization<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>In the manufacturing industry, the predictive ability of AI can help enterprises achieve more accurate production planning and inventory management. By analyzing market demand, historical sales data, and seasonal fluctuations, AI can predict future product demand, thereby helping production lines better adjust production rhythms and avoid overstocking or shortages.<\/p>\n<p>For example, automobile manufacturers can predict the demand for automobiles in the next few quarters through AI, adjust production plans, optimize parts procurement, reduce production costs, and improve the market response speed of enterprises.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"III_Recommendation_Intelligent_and_Personalized_Services\"><\/span><strong><b>III. Recommendation: Intelligent and Personalized Services<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Recommendation systems are another important application of artificial intelligence, especially in retail, e-commerce, entertainment, education, and other industries. AI recommendation systems have become key tools to improve user stickiness and conversion rates. Through machine learning algorithms, AI can analyze users\u2019 historical behaviors and preferences to recommend the most relevant products or services to users.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"E-Commerce_and_Retail_Personalized_Shopping_Experience\"><\/span><strong><b>E-Commerce and Retail: Personalized Shopping Experience<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>AI-driven recommendation systems have played an important role in e-commerce platforms. Through big data analysis, AI can provide users with personalized product recommendations based on their browsing history, search records, purchase behaviors, and other data. For example, e-commerce platforms such as Taobao and\u00a0<a href=\"https:\/\/jd.com\/\">JD.com<\/a>\u00a0use AI algorithms to accurately recommend products that users may be interested in, greatly improving users\u2019 purchase conversion rates.<\/p>\n<p>Moreover, AI can analyze users\u2019 social media behaviors, location data, etc., to further optimize the accuracy of recommendation systems. For example, if a user often buys outdoor products, AI may recommend related tourist destinations or activities to further expand the business scope.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Enterprise_Services_Improving_Customer_Conversion_Rates\"><\/span><strong><b>Enterprise Services: Improving Customer Conversion Rates<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>AI recommendation systems are not limited to product recommendations but can also be widely used in enterprise services. For example, AI can intelligently recommend suitable service plans according to customer needs. For B2B enterprises, AI can analyze the needs of potential customers and recommend corresponding commercial software or consulting services to help enterprises improve sales conversion rates.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"IV_Scheduling_Intelligent_Scheduling_Helps_Optimize_Operations\"><\/span><strong><b>4. Scheduling: Intelligent scheduling helps optimize operations<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Scheduling is a crucial task in many industries, especially in logistics, transportation, manufacturing, etc. Optimized scheduling can significantly improve efficiency. Traditional scheduling systems are often arranged based on human experience and basic rules, with low efficiency and flexibility. However, AI scheduling systems optimize resource allocation through real-time data analysis to improve operational efficiency.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Logistics_Industry_Intelligent_Route_Planning_and_Resource_Scheduling\"><\/span><strong><b>Logistics Industry: Intelligent Route Planning and Resource Scheduling<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>In the logistics industry, AI can optimize transportation routes and scheduling arrangements through real-time traffic data, weather information, cargo information, etc. For example, AI can calculate the optimal delivery route according to different transportation methods and conditions, thereby improving transportation efficiency and reducing delivery time and costs.<\/p>\n<p>In addition, AI can monitor the usage of transport vehicles, analyze vehicle empty driving rates and load conditions, and reasonably schedule vehicles to reduce resource waste and improve the efficiency of the overall logistics system.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Manufacturing_Production_Scheduling_and_Capacity_Planning\"><\/span><strong><b>Manufacturing: Production Scheduling and Capacity Planning<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>In manufacturing, AI\u2019s scheduling capabilities can help enterprises achieve optimal production scheduling and capacity planning. By analyzing order volume, production equipment status, and worker arrangements, AI can dynamically adjust production plans to achieve optimal scheduling. This not only avoids equipment idle time and improves production line utilization but also helps enterprises better respond to order fluctuations and enhance delivery capabilities.<\/p>\n<p>For example, automobile manufacturers can predict the demand for automobiles in the next few quarters through AI, adjust production plans, optimize parts procurement, reduce production costs, and improve the market response speed of enterprises.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><strong><b>Conclusion<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Looking ahead to 2025, AI will play an increasingly important role in all walks of life and become a core driver for industrial transformation and upgrading. Through applications such as automation, prediction, recommendation, and scheduling, AI can not only improve production efficiency and optimize resource allocation but also enhance customer experience and strengthen enterprise competitiveness. However, with the continuous development of technology, the application scenarios of AI will continue to expand, bringing more industry innovations and changes. Therefore, enterprises must actively embrace AI, take technological innovation as the driving force, enhance their competitive advantages, and meet future challenges and opportunities.<\/p>\n<p><span style=\"color: #00ccff;\"><a style=\"color: #00ccff;\" href=\"https:\/\/www.rzautoassembly.com\/hu\/products\/\">spring loaded tray<\/a><\/span><\/p>\n<p><span style=\"color: #00ccff;\"><a style=\"color: #00ccff;\" href=\"https:\/\/www.rzautoassembly.com\/hu\/products\/\">automatic tray return system<\/a><\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Introduction: Looking ahead to 2025, artificial intelligence (AI) will play an increasingly important role in all walks of life and become a core driver for industrial transformation and upgrading. Through applications such as automation, prediction, recommendation, and scheduling, AI can not only improve production efficiency and optimize resource allocation but also enhance customer experience and [\u2026]<\/p>","protected":false},"author":1,"featured_media":3336,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[125,1,124],"tags":[],"class_list":["post-3334","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-exhibitions-visits","category-news","category-technology"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.rzautoassembly.com\/hu\/wp-json\/wp\/v2\/posts\/3334","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rzautoassembly.com\/hu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.rzautoassembly.com\/hu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/hu\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/hu\/wp-json\/wp\/v2\/comments?post=3334"}],"version-history":[{"count":0,"href":"https:\/\/www.rzautoassembly.com\/hu\/wp-json\/wp\/v2\/posts\/3334\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/hu\/wp-json\/wp\/v2\/media\/3336"}],"wp:attachment":[{"href":"https:\/\/www.rzautoassembly.com\/hu\/wp-json\/wp\/v2\/media?parent=3334"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/hu\/wp-json\/wp\/v2\/categories?post=3334"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/hu\/wp-json\/wp\/v2\/tags?post=3334"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}