{"id":36822,"date":"2025-11-28T18:14:57","date_gmt":"2025-11-28T17:14:57","guid":{"rendered":"https:\/\/www.logicline.de\/die-intelligente-installierte-basis"},"modified":"2026-07-03T07:22:03","modified_gmt":"2026-07-03T05:22:03","slug":"the-intelligent-installed-base","status":"publish","type":"post","link":"https:\/\/www.logicline.de\/en\/the-intelligent-installed-base","title":{"rendered":"The intelligent installed base"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"36822\" class=\"elementor elementor-36822 elementor-36785\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c1d6aad e-flex e-con-boxed e-con e-parent\" data-id=\"c1d6aad\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7d6e4cf elementor-widget elementor-widget-text-editor\" data-id=\"7d6e4cf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><\/p><p>Let&#8217;s imagine a typical morning in the service department: A technician opens three systems, looks up serial numbers, scrolls through PDFs, and talks on the phone with colleagues. The customer is waiting. The machine is idle. And no one has an immediate overview of the situation.   <br><br>Many mechanical engineering companies\u2014from small and medium-sized businesses to global providers\u2014are familiar with this reality. Yet that is precisely where one of the company\u2019s greatest untapped assets lies: its installed base. <br><br>However, there is often a lack of transparency about machines in the field, their history, current performance and outstanding service requirements. This costs time, money and customer trust. And it prevents companies from developing a scalable, profitable service business from reactive deployments.  <\/p><p>The solution: a <a href=\"https:\/\/www.logicline.de\/en\/services\/digital-machine-file\">digital machine file (IOTAM)<\/a> \u2014linked to IoT data, service history, and documentation\u2014with an intelligence layer on top that understands all this information and synthesizes it into decisions. Built on the Salesforce platform. <\/p>\n\n<h2>Why Mechanical Engineers Today Know Too Little About Their Installed Base<\/h2>\n\n<p>The customer&#8217;s machinery is the backbone of the after-sales business. However, the information is often scattered: <\/p>\n\n<ul><li>Excel lists from the sales department<\/li><li>ERP data for parts lists<\/li><li>Service reports in the PDF archive<\/li><li>IoT data in own platforms<\/li><li>Know-how in the minds of individual technicians<\/li><\/ul>\n\n<p>VDMA studies have shown for years that a large portion of all service information is unstructured, and only a few companies have a complete, up-to-date overview of their installed base.<\/p>\n\nTypical questions such as:<\/p><\/p>\n\n<ul><li><em>&#8220;What machines does this customer have, and what condition are they in?&#8221;<\/em><\/li><li><em>&#8220;Which systems have recurring problems?&#8221;<\/em><\/li><li><em>&#8220;Which service contracts are expiring?&#8221;<\/em><\/li><\/ul>\n\n<p>lead to manual research, system changes and media disruptions.<\/p><p>Service managers, technicians, sales and management need very different information &#8211; but they all need the same data source.<\/p>\n\n<h2>The Digital Machine File as the Single Point of Truth<\/h2>\n\n<p><\/p><p>The <a href=\"https:\/\/www.logicline.de\/en\/services\/digital-machine-file\">Digital Machine File (IOTAM)<\/a> becomes the single point of truth. It consolidates all information about a machine\u2014structured, versioned, and contextualized. <\/p><p><strong>Core components:<\/strong><\/p>\n\n<ul><li>Asset structure incl. machines, components, spare parts <\/li><li>Serial numbers, locations, installation data<\/li><li>Service history, materials, cost estimates<\/li><li>Maintenance Schedules and Contracts<\/li><li>Telemetry data: Operating states, error codes, performance indicators<\/li><li>Documentation, manuals, checklists<\/li><li>Digital Product Passport (DPP)<\/li><li>Access to Remote Support and IoT Features<\/li><\/ul>\n\n<p><br>Using a packaging machine as an example, the Salesforce interface lets you see at a glance: the machine status (\u201cOnline\u201d), process parameters such as temperature, production figures, contact and location data, the associated service objects, and integrated tools such as TeamViewer (remote support) or Empolis (service knowledge).<\/p><p>It is precisely this consistency that takes the machine file to the next level\u2014it serves as the structured database upon which everything else is built.<\/p>\n\n<div class=\"callout\"><p style=\"margin: 0;\"><strong>Do you know what condition your machines are in at the customer\u2019s site right now?<\/strong><br\/>In 30 minutes, we\u2019ll use a real-world asset example to show how scattered service data can be turned into a reliable basis for decision-making\u2014no slide presentation, just your specific use case.<br\/>\u2192 <a href=\"https:\/\/www.logicline.de\/en\/contact\"><strong>Schedule an initial consultation<\/strong><\/a><\/p><\/div>\n\n<h2>Service Decision Intelligence: the intelligence layer above the installed base<\/h2>\n\n<p><\/p><p>A structured machine file is a prerequisite. But the real impact comes when this knowledge is put to use in day-to-day operations\u2014without anyone having to write SQL, build dashboards, or switch between systems. That\u2019s exactly what <a href=\"https:\/\/www.logicline.de\/en\/services\/service-decision-intelligence\">Service Decision Intelligence (SDI)<\/a> does: it\u2019s the layer that connects fragmented service data and consolidates it into actionable decisions.  <\/p>\n\n<h3>A Unified Data Model as the Foundation<\/h3>\n\n<p><\/p><p>For SDI to reach its full potential, it needs a consistent data model\u2014regardless of where the data is originally located. Four data worlds converge: <\/p>\n\n<ol><li><strong>Salesforce data<\/strong> \u2014 customers, assets, contracts, cases, work orders<\/li><li><strong>IoT Telemetry<\/strong> \u2014 Sensor Values, States, Events, Time Series<\/li><li><strong>Service Knowledge<\/strong> \u2014 Troubleshooting Guides, Step-by-Step Instructions, Solution Articles<\/li><li><strong>Historical Data<\/strong> \u2014 Maintenance History, Version Changes, Trends Over the Years<\/li><\/ol>\n\n<p><\/p><p><br>This integration provides a 360\u00b0 view\u2014not just a snapshot, but across the entire lifecycle of a machine. Through our partner GRAX, the complete CRM context\u2014including change logs and historical data\u2014can be integrated without hitting API limits: Which values changed and when? Which components were replaced? Which errors occurred repeatedly?   <\/p><p>The key factor is where this data model is deployed: SDI runs on the customer\u2019s infrastructure and is EU-compliant. Data sovereignty remains with the company\u2014a fundamental prerequisite for making service and machine data usable for AI in the first place. <\/p>\n\n<h3>From Data Model to Decision<\/h3>\n\n<p><\/p><p>Based on this, SDI provides the decision-making logic for AI agents\u2014such as those on Salesforce Agentforce. Unlike traditional chatbots, such an agent does not rely on generic knowledge models but instead works with the structured data from its own installed base: <\/p>\n\n<ul><li>It understands machines, serial numbers, hierarchies and telemetry.<\/li><li>He evaluates cases, trends and patterns.<\/li><li>He knows contracts, SLAs and maintenance plans.<\/li><li>It combines knowledge from systems that were previously separate.<\/li><\/ul>\n\n<p><\/p><p><br>Two features make all the difference. First, every recommendation comes with a source citation\u2014the user can see what data a statement is based on, rather than having to trust a \u201cblack box\u201d response. Second, SDI is LLM-agnostic (MCP\/BYOM): Companies can integrate the language model of their choice, rather than being locked into a single provider. And most importantly, the answer is delivered in natural language\u2014no SQL, no dashboard building, no click-throughs.   <\/p>\n\n<h3>Real-world example<\/h3>\n\n<p><\/p><p>The service manager at (the hypothetical) PackoTec GmbH asks a typical question about his customer, Freshoria:<\/p>\n\n<blockquote><p>&#8220;For the Freshoria account\u2014what assets are being used there, what do the latest telemetry data show, are there any critical cases, and what service package could I offer the customer?&#8221;<\/p><\/blockquote>\n\n<p><\/p><p>The agent collects automatically:<\/p>\n\n<ul><li>32 assets from the portfolio at Freshoria<\/li><li>Telemetry with several critical states (including compressed air errors, sealing integrity problems, temperature deviations)<\/li><li>7 open HIGH-priority cases, all related to the same machine<\/li><li>Patterns in downtimes and production losses<\/li><\/ul>\n\n<p><\/p><p><br>The agent summarizes the data, identifies correlations, and proposes specific actions\u2014ranging from immediate intervention to predictive maintenance. Data-driven insights lead to concrete, transparent recommendations for action. This saves time, prevents downtime, and improves service quality.  <\/p>\n\n<h2>What&#8217;s Now Possible: Specific Use Cases and Measurable Business Value<\/h2>\n\n<p><\/p><p><strong>Proactive Service.<\/strong> <em>Question:<\/em> \u201cWhich machines are about to exceed their maintenance intervals?\u201d <em>Benefits:<\/em> predictable service calls, fewer outages, better SLA performance.<\/p><p><strong>Retrofit campaigns.<\/strong> <em>Question:<\/em> \u201cAll customers with Model X, manufactured before 2020?\u201d <em>Benefits:<\/em> targeted campaigns, higher conversion rates.<\/p><p><strong>Real-time troubleshooting.<\/strong> <em>Question:<\/em> \u201cError code E-401 \u2014 Cause, solution, and how to prevent it in the future?\u201d <em>Benefits:<\/em> shorter diagnostic times, fewer recurring errors.<\/p><p><strong>Identify sales opportunities.<\/strong> <em>Question:<\/em> \u201cWhich service contracts are set to expire in Q1?\u201d <em>Benefits:<\/em> proactive renewals, higher service revenue.<\/p><p><strong>Management Reporting.<\/strong> <em>Question:<\/em> \u201cHow has the failure rate for Model Y changed over time?\u201d <em>Benefits:<\/em> data-driven product decisions, quality feedback for development.<\/p><p>The combination of machine records, telemetry, expertise, and SDI creates systematic added value: less time spent searching, more time spent taking action, higher service quality, and scalable revenue.<\/p>\n\n<h2>Why this works \u2014 and why now<\/h2>\n\n<p><\/p><p>Three trends make this model particularly relevant:<\/p><p><strong>Integration instead of isolated solutions.<\/strong>  Service portals, IoT platforms, CRM, and ticketing systems: What used to be separate is now integrated into a single data model.<\/p><p><strong>AI needs structure.<\/strong>  AI doesn&#8217;t show its true potential with PDFs shared via file-sharing services\u2014but rather with clean, unambiguous, versioned datasets.<\/p><p><strong>The shortage of skilled workers in the service sector.<\/strong>  Teams are getting smaller, and machines are getting more complex. What matters: quick diagnostics, less manual work, and smarter support. <\/p><p>logicline connects these dots\u2014using Salesforce as its platform and leveraging expert knowledge of industrial service processes. The result: clear data models, interconnected portals, IoT integration, and AI agents that deliver practical answers immediately. This foundation makes service organizations scalable and resilient.  <\/p>\n\n<h2>How Companies Can Get Started<\/h2>\n\n<p><\/p><p><strong>Step 1: Organize the installed base.<\/strong> Serial numbers, locations, components, maintenance plans &#8211; neatly modeled in Salesforce.<\/p><p><strong>Step 2: Integrate telemetry.<\/strong>  Transfer time series, error codes, energy data, and process data into the data model.<\/p><p><strong>Step 3: Connect the dots.<\/strong>  Integrate Empolis knowledge bases or your own knowledge bases directly into cases, assets, and error scenarios.<\/p><p><strong>Step 4: Deploy SDI and AI agents.<\/strong>  Use Service Decision Intelligence and Agentforce to have domain-specific agents work with your company&#8217;s own data.<\/p><p><strong>Step 5: Prioritize use cases.<\/strong> Proactive maintenance, campaigns, self-service, remote support &#8211; sort by business impact.<\/p><p>In practice, this process usually begins with an <a href=\"https:\/\/www.logicline.de\/en\/services\/installed-base-assessment\">installed base assessment<\/a>: a structured analysis of scattered data that identifies where the quick wins lie.<\/p>\n\n<h2>Outlook: From Reactive Operations to an Intelligent Service Ecosystem<\/h2>\n\n<p>The Digital Machine File is a major step; SDI is the next one. Both are part of a phased model that charts the path: <strong>Digitization<\/strong> (structured machine file) \u2192 <strong>Connectivity<\/strong> (portals and IoT) \u2192 <strong>Decision-making<\/strong> (Service Decision Intelligence) \u2192 <strong>Automation<\/strong> (autonomous service agents). <\/p><p>The journey continues along these steps:<\/p>\n\n<ul><li>Predictive maintenance through pattern recognition over the entire life cycle<\/li><li>Autonomous recommendations for action: from advice to concrete action<\/li><li>Seamless integration with Teams, Slack, and mobile devices<\/li><li>Self-service portals that answer customer questions on their own<\/li><li>Automated spare parts predictions<\/li><li>Comparative analyses across fleets<\/li><\/ul>\n\n<p><\/p><p>Machine builders are thus transformed from troubleshooting companies into providers of intelligent services &#8211; reliable, scalable and profitable.<\/p>\n\n<h2>Next step<\/h2>\n\n<p><p>Smart service isn&#8217;t a tooling problem\u2014it&#8217;s a data problem. If you don&#8217;t have a structured understanding of your installed base, you can neither proactively support it nor turn it into a growth driver\u2014no matter how good the AI behind it is. Here are two pragmatic starting points, depending on where you stand today:  \n\n<ul><li><strong><a href=\"https:\/\/www.logicline.de\/en\/services\/installed-base-assessment\">Installed Base Assessment<\/a><\/strong> \u2014 if your machine data is still scattered across Excel, ERP, and PDF archives, and you first need a reliable data foundation.<\/li><li><strong><a href=\"https:\/\/www.logicline.de\/en\/contact\">Initial Consultation<\/a><\/strong> \u2014 once your data foundation is in place and you\u2019d like to discuss machine files, SDI, and AI agents in detail.<\/li><\/ul>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<section data-dce-background-color=\"#00000000\" class=\"elementor-element elementor-element-95bc255 e-flex e-con-boxed e-con e-parent\" data-id=\"95bc255\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div data-dce-background-color=\"#FFFFFF\" class=\"elementor-element elementor-element-2017408 e-flex e-con-boxed e-con e-child\" data-id=\"2017408\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-8993e40 e-con-full e-flex e-con e-child\" data-id=\"8993e40\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-ea5a6d0 e-flex e-con-boxed e-con e-child\" data-id=\"ea5a6d0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9061346 elementor-widget elementor-widget-heading\" data-id=\"9061346\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">FAQs<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f451bba elementor-widget elementor-widget-n-accordion\" data-id=\"f451bba\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;expanded&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2560\" class=\"e-n-accordion-item\" open>\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"true\" aria-controls=\"e-n-accordion-item-2560\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> How quickly can a digital machine file be implemented? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2560\" class=\"elementor-element elementor-element-f5d2434 e-flex e-con-boxed e-con e-child\" data-id=\"f5d2434\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8b72731 elementor-widget elementor-widget-text-editor\" data-id=\"8b72731\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>You can usually get started within a few weeks. You begin by organizing the installed base (machines, serial numbers, locations, documents) and later integrate telemetry and service histories. No \u201cbig bang\u201d\u2014just modular expansion as needed.  <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2561\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2561\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> Do I necessarily need IoT data to use the AI agent? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2561\" class=\"elementor-element elementor-element-01f498f e-con-full e-flex e-con e-child\" data-id=\"01f498f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0430a4d elementor-widget elementor-widget-text-editor\" data-id=\"0430a4d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>No. The agent can already work with CRM, asset, and case data. However, IoT data significantly increases the value because Service Decision Intelligence can then analyze statuses, trends, and patterns in real time.  <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2562\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2562\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> Will the AI agent replace service technicians? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2562\" class=\"elementor-element elementor-element-387c3d8 e-con-full e-flex e-con e-child\" data-id=\"387c3d8\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-71dabe6 elementor-widget elementor-widget-text-editor\" data-id=\"71dabe6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>No. It handles the research, analysis, and consolidation of large amounts of data, but it does not replace technical expertise. Technicians benefit from faster diagnostics, clear recommendations for action, and less manual information searching.  <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2563\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2563\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h4 class=\"e-n-accordion-item-title-text\"> How do customers benefit from this? <\/h4><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2563\" class=\"elementor-element elementor-element-2518d22 e-flex e-con-boxed e-con e-child\" data-id=\"2518d22\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-953133c elementor-widget elementor-widget-text-editor\" data-id=\"953133c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Customers benefit from faster response times, more accurate diagnoses, and access to a self-service portal with their own machine file. Service becomes more transparent, easier to plan, and more professional\u2014a clear competitive advantage in the machine-building industry. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>We have implemented a platform that centrally bundles all information on products, customers and their current orders. Customers have access to all important documents relating to the products, from technical documentation, brochures, videos, certificates, product descriptions and operating instructions to a digital twin for the current generation of machines. A spare parts store is also integrated into the portal.<\/p>\n","protected":false},"author":5,"featured_media":36413,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[43051],"tags":[],"class_list":["post-36822","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-iot-installed-base-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.logicline.de\/en\/wp-json\/wp\/v2\/posts\/36822","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.logicline.de\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.logicline.de\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.logicline.de\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.logicline.de\/en\/wp-json\/wp\/v2\/comments?post=36822"}],"version-history":[{"count":10,"href":"https:\/\/www.logicline.de\/en\/wp-json\/wp\/v2\/posts\/36822\/revisions"}],"predecessor-version":[{"id":40777,"href":"https:\/\/www.logicline.de\/en\/wp-json\/wp\/v2\/posts\/36822\/revisions\/40777"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.logicline.de\/en\/wp-json\/wp\/v2\/media\/36413"}],"wp:attachment":[{"href":"https:\/\/www.logicline.de\/en\/wp-json\/wp\/v2\/media?parent=36822"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.logicline.de\/en\/wp-json\/wp\/v2\/categories?post=36822"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.logicline.de\/en\/wp-json\/wp\/v2\/tags?post=36822"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}