{"id":14073,"date":"2026-03-27T05:07:26","date_gmt":"2026-03-27T05:07:26","guid":{"rendered":"https:\/\/oxand.com\/en\/predictive-maintenance-zero-emission-building-pathways-roi-first\/"},"modified":"2026-03-27T05:07:26","modified_gmt":"2026-03-27T05:07:26","slug":"mantenimiento-predictivo-edificio-de-emisiones-cero-vias-roi-first","status":"publish","type":"post","link":"https:\/\/oxand.com\/es\/predictive-maintenance-zero-emission-building-pathways-roi-first\/","title":{"rendered":"Mantenimiento predictivo para v\u00edas de construcci\u00f3n con cero emisiones: Donde primero aparece el ROI"},"content":{"rendered":"\n<p><strong>Predictive maintenance is a game-changer for building owners aiming to cut costs and reduce emissions.<\/strong> By using IoT sensors and AI to predict equipment failures before they occur, this proactive approach delivers measurable benefits, including:<\/p>\n<ul>\n<li><strong>Lower maintenance costs:<\/strong> A <a href=\"https:\/\/oxand.com\/en\/predictive-vs-reactive-maintenance-cost-analysis-guide\/\" style=\"display: inline;\">predictive vs reactive maintenance cost analysis<\/a> shows predictive costs of $2.00\u2013$2.80 per sq ft annually, compared to $4.50\u2013$6.00 for reactive maintenance.<\/li>\n<li><strong>Energy savings:<\/strong> Properly maintained systems can reduce energy use by 15\u201325%.<\/li>\n<li><strong>Fewer emergencies:<\/strong> Emergency repairs cost 4.8x more than planned fixes.<\/li>\n<li><strong>Extended equipment life:<\/strong> Assets last 15\u201330% longer with predictive strategies.<\/li>\n<\/ul>\n<p>For example, a 2.8 million sq ft property portfolio saved 35% in maintenance costs and cut energy use by 22% within a year. A single predictive repair saved $43,800 compared to emergency costs.<\/p>\n<p>Start small with a 90-day pilot on critical systems like HVAC or chillers, then scale gradually. By focusing on high-impact equipment, you\u2019ll see <a href=\"https:\/\/oxand.com\/en\/services\/predictive-maintenance-roi\/\" style=\"display: inline;\">immediate ROI<\/a> while moving closer to zero-emission goals.<\/p>\n<figure>         <img decoding=\"async\" src=\"https:\/\/assets.seobotai.com\/undefined\/69c5cfdd1b352ff267cc3879-1774584917893.jpg\" alt=\"Predictive Maintenance ROI: Cost Savings and Energy Reduction Statistics\" style=\"width:100%;\"><figcaption style=\"font-size: 0.85em; text-align: center; margin: 8px; padding: 0;\">\n<p style=\"margin: 0; padding: 4px;\">Predictive Maintenance ROI: Cost Savings and Energy Reduction Statistics<\/p>\n<\/figcaption><\/figure>\n<h2 id=\"where-roi-appears-first\" tabindex=\"-1\" class=\"sb h2-sbb-cls\">Where ROI Appears First<\/h2>\n<h3 id=\"immediate-cost-savings\" tabindex=\"-1\">Immediate Cost Savings<\/h3>\n<p>Predictive maintenance creates measurable financial benefits through four key avenues, helping businesses save money while aligning with zero-emission goals. The first and most obvious savings come from avoiding emergency repair premiums. For example, fixing a chiller bearing on a Saturday night might cost $1,900, but scheduling the same repair for a Tuesday morning could cost just $400 <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/roi-property-maintenance-software-analysis\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[9]<\/sup><\/a>. Emergency call-out rates for specialists are, on average, 4.8 times higher than standard scheduled rates <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/building-maintenance-management-reactive-to-proactive-operations-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[3]<\/sup><\/a>. Additionally, unplanned failures often cost 5\u201310 times more than scheduled maintenance due to overnight fees and expedited parts <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>.<\/p>\n<p>The second way savings are realized is through improved energy efficiency. Predictive systems can pinpoint issues like fouled coils, refrigerant leaks, or malfunctioning sensors, which can increase energy use by 15\u201325% <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/building-maintenance-management-reactive-to-proactive-operations-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[3]<\/sup><\/a>. A facility director overseeing an 800,000 sq ft commercial campus shared:<\/p>\n<blockquote>\n<p>&quot;We cut our energy spend by 22% in the first year after implementing structured preventive maintenance through a CMMS. The biggest surprise was how many small issues &#8211; stuck dampers, drifted sensors, forgotten overrides &#8211; were silently costing us thousands per month&quot; <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/sustainable-facility-management-how-to-reduce-energy-costs-in-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[1]<\/sup><\/a>.<\/p>\n<\/blockquote>\n<p>Addressing these issues often requires minimal investment but results in significant monthly reductions in utility bills.<\/p>\n<p>The third channel involves reducing downtime. Predictive monitoring can cut unplanned downtime by 45% in the first year <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/building-maintenance-management-reactive-to-proactive-operations-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[3]<\/sup><\/a>. Considering that downtime in commercial buildings costs an average of $18,000 per hour <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/building-maintenance-management-reactive-to-proactive-operations-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[3]<\/sup><\/a>, this reduction is substantial. For instance, a 400,000 sq ft retail center equipped with 218 IoT sensors avoided four rooftop unit failures, slashing emergency repair costs from $94,000 to $18,500 over 12 months. This effort delivered a 4.4x ROI in the first year, saving $181,500 against an implementation cost of $41,000 <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/case-study-retail-shopping-center-hvac-energy-savings\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[7]<\/sup><\/a>.<\/p>\n<p>Finally, predictive maintenance extends the lifespan of assets. Condition-based strategies can increase equipment life by 15\u201330%. Avoiding a single chiller failure can save between $35,000 and $85,000, while preventing a boiler breakdown can save $50,000\u2013$150,000 <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>. For high-value equipment like chillers, boilers, and main distribution pumps, the savings from even one avoided failure can offset the entire cost of sensor deployment <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>.<\/p>\n<p>Together, these savings channels build a compelling case for ROI across entire building portfolios.<\/p>\n<h3 id=\"measuring-roi-in-building-portfolios\" tabindex=\"-1\">Measuring ROI in Building Portfolios<\/h3>\n<p>These savings not only cut immediate costs but also provide a solid framework for calculating ROI across multiple properties. Older buildings with aging equipment often see payback within 3\u20136 months, while newer, better-maintained properties might take 12\u201318 months to achieve returns <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>. For example, a 280,000 sq ft Class A office building reduced emergency work orders by 45% in one year, saving $180,000 in maintenance costs. With an implementation cost of $9,200, this resulted in a first-year ROI of 19.6x. HVAC monitoring alone saved $89,000 by avoiding after-hours calls <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/case-study-industrial-park-asset-downtime-reduction\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[8]<\/sup><\/a>.<\/p>\n<p>On a larger scale, a 45-property residential portfolio with 3,200 units reduced annual capital expenditures from $4.1 million to $2.8 million over 12 months ending in March 2026. By shifting from 58% reactive maintenance to 82% planned maintenance, the portfolio avoided special assessments and saved $1.3 million through better timing and fewer failures <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/how-predictive-maintenance-changes-capital-planning-for-property-owners\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[6]<\/sup><\/a>. Full deployment of IoT and CMMS platforms has been shown to deliver an average ROI of 3.2x within 18 months <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/roi-property-maintenance-software-analysis\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[9]<\/sup><\/a>.<\/p>\n<p>The financial impact of predictive maintenance depends on factors like building type and maintenance history. Shifting even 40% of reactive work to preventive scheduling can cut total maintenance costs by 25\u201340% <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/roi-property-maintenance-software-analysis\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[9]<\/sup><\/a>. Emergency repairs could drop by 60\u201380%, translating to an overall maintenance cost reduction of 40\u201355% <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>. For a 200,000 sq ft property, pilot investments usually range between $15,000 and $35,000, with wireless sensors priced at $150\u2013$500 per monitoring point and cloud analytics platforms costing $50\u2013$200 per month per site <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>.<\/p>\n<p>To measure ROI accurately, it\u2019s essential to establish cost baselines using historical data for labor, parts, and downtime linked to specific failure modes <a href=\"https:\/\/oxmaint.com\/article\/iot-predictive-maintenance-roi-calculator-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[10]<\/sup><\/a>. CMMS platforms can automate savings tracking by logging avoided costs whenever a prediction leads to planned maintenance instead of emergency repairs <a href=\"https:\/\/oxmaint.com\/article\/iot-predictive-maintenance-roi-calculator-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[10]<\/sup><\/a>. Prioritizing assets using a &quot;Failure Cost \u00d7 Failure Probability&quot; matrix ensures resources are allocated to areas with the highest financial return <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>.<\/p>\n<h6 id=\"sbb-itb-5be7949\" class=\"sb-banner\" style=\"display: none;color:transparent;\">sbb-itb-5be7949<\/h6>\n<h2 id=\"energy-savings-and-carbon-reduction\" tabindex=\"-1\" class=\"sb h2-sbb-cls\">Energy Savings and Carbon Reduction<\/h2>\n<h3 id=\"how-energy-efficiency-drives-roi\" tabindex=\"-1\">How Energy Efficiency Drives ROI<\/h3>\n<p><a href=\"https:\/\/oxand.com\/en\/how-predictive-maintenance-without-iot-and-real-time-brings-value-to-infrastructure-and-building-asset-owners\/\" style=\"display: inline;\">Predictive maintenance<\/a> plays a key role in cutting energy waste by identifying problems that lead to excessive power use. For instance, <strong>HVAC systems account for 40\u201360% of a building&#8217;s energy consumption<\/strong> <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-hvac-ai-analytics\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[11]<\/sup><\/a>, making them a prime focus for boosting efficiency. AI-powered analytics can pinpoint issues like coil fouling, refrigerant leaks, and sensor drift &#8211; problems that often go unnoticed but significantly waste energy <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-hvac-ai-analytics\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[11]<\/sup><\/a><a href=\"https:\/\/oxmaint.com\/industries\/property-management\/case-study-retail-shopping-center-hvac-energy-savings\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[7]<\/sup><\/a>.<\/p>\n<p>The numbers paint a clear picture. <strong>A mere 1mm fouling layer on condenser coils can increase compressor energy use by 15\u201325%, and a 10% rise in static pressure can drive fan energy consumption up by 33%<\/strong> <a href=\"https:\/\/oxmaint.com\/industries\/hvac\/net-zero-building-hvac-maintenance-decarbonization\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[4]<\/sup><\/a>. By monitoring factors such as approach temperature and coil delta-T, maintenance teams can restore equipment to its optimal efficiency, addressing an &quot;efficiency gap&quot; that can reach as high as 23% in reactive maintenance scenarios <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/case-study-retail-shopping-center-hvac-energy-savings\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[7]<\/sup><\/a><a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>.<\/p>\n<p>Energy optimization efforts can slash HVAC consumption by <strong>15\u201325%<\/strong> <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-hvac-ai-analytics\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[11]<\/sup><\/a>. Take this example: a retail store cut post-close HVAC runtime by over three hours daily by aligning operation schedules with actual occupancy patterns <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/case-study-retail-shopping-center-hvac-energy-savings\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[7]<\/sup><\/a>. Instead of using rigid, pre-set schedules, predictive systems dynamically adjust runtimes based on real building usage, reducing unnecessary operation during off-hours <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/case-study-retail-shopping-center-hvac-energy-savings\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[7]<\/sup><\/a>.<\/p>\n<p>Keeping equipment running efficiently doesn&#8217;t just mean lower utility bills &#8211; it also means cutting carbon emissions. For example, boilers benefit from continuous monitoring of O\u2082 levels, CO output, and stack temperatures, allowing teams to fine-tune burners weeks before efficiency starts to drop noticeably <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>. Similarly, tracking chiller efficiency in kW\/ton can help detect issues like fouling or refrigerant leaks 48\u201372 hours before they escalate <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>. These proactive measures save energy and contribute to meaningful carbon reductions.<\/p>\n<h3 id=\"carbon-reductions-for-esg-reporting\" tabindex=\"-1\">Carbon Reductions for ESG Reporting<\/h3>\n<p>Improving energy efficiency doesn\u2019t just save money &#8211; it also slashes carbon emissions, which is critical for ESG reporting and meeting regulatory standards. Predictive maintenance can cut carbon emissions by 25\u201335% and maintenance-related waste by 40\u201360%, leading to an overall environmental impact reduction of 50\u201370% <a href=\"https:\/\/www.oxmaint.com\/blog\/post\/predictive-maintenance-supports-esg-goals\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[12]<\/sup><\/a>. Monitoring systems alone prevent 40\u201360% of maintenance-related carbon output <a href=\"https:\/\/www.oxmaint.com\/blog\/post\/predictive-maintenance-supports-esg-goals\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[12]<\/sup><\/a>.<\/p>\n<p>Refrigerant management is another area with a big payoff. <strong>R-410A refrigerant, for example, has a Global Warming Potential (GWP) of 2,088, meaning a single 5-pound leak equates to 10,440 pounds of CO\u2082<\/strong> <a href=\"https:\/\/oxmaint.com\/industries\/hvac\/net-zero-building-hvac-maintenance-decarbonization\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[4]<\/sup><\/a>. By detecting leaks early and using GWP-weighted emission reporting, organizations can tackle Scope 1 emissions effectively. At the same time, improving HVAC efficiency directly reduces Scope 2 emissions tied to purchased electricity <a href=\"https:\/\/oxmaint.com\/industries\/hvac\/net-zero-building-hvac-maintenance-decarbonization\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[4]<\/sup><\/a>.<\/p>\n<p>Predictive platforms make ESG reporting easier and more accurate by automating the collection of detailed energy and emissions data. This automation supports compliance with regulations like the EU CSRD or SEC climate rules, delivering <strong>95\u201399% data accuracy<\/strong> and cutting compliance efforts by <strong>60\u201375%<\/strong> <a href=\"https:\/\/www.oxmaint.com\/blog\/post\/predictive-maintenance-supports-esg-goals\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[12]<\/sup><\/a>. Companies adopting predictive maintenance for ESG purposes often see a <strong>35\u201350% improvement in sustainability KPI performance<\/strong> <a href=\"https:\/\/www.oxmaint.com\/blog\/post\/predictive-maintenance-supports-esg-goals\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[12]<\/sup><\/a>.<\/p>\n<blockquote>\n<p>&quot;Every equipment failure you prevent is carbon emissions avoided, waste eliminated, and ESG targets protected.&quot; &#8211; Oxmaint <a href=\"https:\/\/www.oxmaint.com\/blog\/post\/predictive-maintenance-supports-esg-goals\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[12]<\/sup><\/a><\/p>\n<\/blockquote>\n<h2 id=\"is-preventive-maintenance-worth-it-we-did-the-math\" tabindex=\"-1\" class=\"sb h2-sbb-cls\">Is Preventive Maintenance Worth It? (We Did the Math)<\/h2>\n<p> <iframe class=\"sb-iframe\" src=\"https:\/\/www.youtube.com\/embed\/Kdtwfr4Uqpc\" frameborder=\"0\" loading=\"lazy\" allowfullscreen style=\"width: 100%; height: auto; aspect-ratio: 16\/9;\"><\/iframe><\/p>\n<h2 id=\"which-assets-to-target-first\" tabindex=\"-1\" class=\"sb h2-sbb-cls\">Which Assets to Target First<\/h2>\n<p>Once you&#8217;ve outlined the financial and operational perks of predictive maintenance, the next step is figuring out which assets will deliver the best return on investment (ROI).<\/p>\n<h3 id=\"evaluating-asset-criticality\" tabindex=\"-1\">Evaluating Asset Criticality<\/h3>\n<p>Start by focusing on building systems that use the most energy and pose the highest failure risks. <strong>HVAC systems and chillers should be your top priority<\/strong>, as they account for 40\u201360% of a building&#8217;s energy consumption and are a major factor in carbon emissions. In fact, HVAC systems are responsible for 40% of global CO\u2082 emissions from building operations <a href=\"https:\/\/oxmaint.com\/industries\/hvac\/net-zero-building-hvac-maintenance-decarbonization\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[4]<\/sup><\/a><a href=\"https:\/\/oxmaint.com\/industries\/hvac\/chiller-predictive-maintenance-ai-iot\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[13]<\/sup><\/a><a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-hvac-commercial-properties\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[15]<\/sup><\/a>.<\/p>\n<p>To rank assets, use the <strong>&quot;Failure Cost \u00d7 Failure Probability&quot;<\/strong> formula <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>. Begin with high-cost equipment like chillers and boilers. For example, emergency chiller repairs can cost anywhere from $12,000 to $45,000 per event, while predictive monitoring might only cost $285 per month <a href=\"https:\/\/oxmaint.com\/industries\/hvac\/chiller-predictive-maintenance-ai-iot\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[13]<\/sup><\/a>. Boilers are equally important &#8211; catastrophic failures can lead to expenses between $50,000 and $150,000, not to mention operational downtime <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a><a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/building-maintenance-management-reactive-to-proactive-operations-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[3]<\/sup><\/a>.<\/p>\n<p>Electrical distribution and switchgear are also critical, as they contribute to 13% of commercial fires <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/building-maintenance-management-reactive-to-proactive-operations-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[3]<\/sup><\/a>. Pumps and water infrastructure serving multiple areas should follow, especially since issues like vibration can be addressed with affordable planned maintenance rather than costly emergency replacements <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a><a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/building-maintenance-management-reactive-to-proactive-operations-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[3]<\/sup><\/a>. Don\u2019t overlook refrigerant management either &#8211; a 5-pound leak of R-410A releases an alarming 10,440 pounds of CO\u2082 <a href=\"https:\/\/oxmaint.com\/industries\/hvac\/net-zero-building-hvac-maintenance-decarbonization\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[4]<\/sup><\/a>.<\/p>\n<p>By targeting these high-impact systems, you can set the stage for maximizing ROI.<\/p>\n<h3 id=\"how-to-prioritize-assets\" tabindex=\"-1\">How to Prioritize Assets<\/h3>\n<p>Once you&#8217;ve assessed criticality, focus on assets with clear and measurable performance indicators. Rotating equipment &#8211; such as centrifugal chillers, screw compressors, large Air Handling Unit (AHU) fans, and cooling tower motors &#8211; should take precedence. These systems tend to degrade predictably and offer measurable warning signs weeks before failure <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-hvac-ai-analytics\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[11]<\/sup><\/a>. <strong>If monitoring resources are limited, start by tracking the condenser approach temperature<\/strong>, which is a reliable indicator of efficiency and can detect issues like fouling or flow problems early <a href=\"https:\/\/oxmaint.com\/industries\/hvac\/chiller-predictive-maintenance-ai-iot\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[13]<\/sup><\/a>.<\/p>\n<p>Adopt a phased approach to implementation. Begin with a pilot program: install sensors on 2\u20133 critical assets (like a main chiller or boiler) during the first 1\u20133 months to establish performance baselines <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>. Expand monitoring to include all chillers, boilers, main pumps, and electrical switchgear by months 4\u20139 <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>. In months 10\u201318, extend the program to secondary systems like AHUs, exhaust fans, and elevator motors <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>. This gradual rollout allows you to demonstrate ROI before scaling across your entire facility.<\/p>\n<p><strong>A well-maintained HVAC system can cut energy use by 15\u201330% without requiring any capital investment<\/strong> <a href=\"https:\/\/oxmaint.com\/industries\/hvac\/net-zero-building-hvac-maintenance-decarbonization\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[4]<\/sup><\/a>. Predictive maintenance can also extend the lifespan of HVAC equipment by 5\u201310 years <a href=\"https:\/\/oxmaint.com\/industries\/hvac\/hvac-maintenance-cost-reduction-strategies\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[14]<\/sup><\/a><a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-hvac-commercial-properties\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[15]<\/sup><\/a>. Considering that 67% of developing equipment failures occur between traditional scheduled inspections <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-hvac-commercial-properties\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[15]<\/sup><\/a>, continuous monitoring bridges the gaps left by calendar-based maintenance. The trick is to start with assets where failures are both costly and preventable &#8211; this is where you&#8217;ll see the biggest ROI right away.<\/p>\n<h2 id=\"implementation-roadmap\" tabindex=\"-1\" class=\"sb h2-sbb-cls\">Implementation Roadmap<\/h2>\n<h3 id=\"phased-deployment-approach\" tabindex=\"-1\">Phased Deployment Approach<\/h3>\n<p>You don\u2019t need to overhaul your entire operation to start with predictive maintenance. A phased rollout allows you to test the waters, prove the return on investment (ROI), and then scale up gradually.<\/p>\n<p><strong>Start with a 90-day foundation phase.<\/strong> Begin by auditing your CMMS (Computerized Maintenance Management System) records from the last two years. Talk to your operators to uncover &quot;micro-stoppages&quot; that might not be logged in the system, and calculate the actual cost of downtime per hour <a href=\"https:\/\/monitory.ai\/resources\/roi-predictive-maintenance\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[19]<\/sup><\/a>.<\/p>\n<p><strong>Weeks 5\u20138: Pilot critical assets.<\/strong> Select 10\u201320 key assets and equip them with IoT sensors, such as vibration sensors ($200\u2013$500 per unit) or temperature sensors ($100\u2013$300 per point). These sensors should connect via standard protocols like <a href=\"https:\/\/mqtt.org\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" style=\"display: inline;\">MQTT<\/a> or <a href=\"https:\/\/en.wikipedia.org\/wiki\/BACnet\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" style=\"display: inline;\">BACnet<\/a> <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/iot-sensor-integration-building-maintenance\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[17]<\/sup><\/a>. During this phase, confirm that data is flowing correctly. For context, a typical pilot for 15\u201320 assets might cost between $15,000 and $40,000 for the first year <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/iot-sensor-integration-building-maintenance\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[17]<\/sup><\/a>. For example, a healthcare manufacturer in 2026 monitored 234 assets over four months, avoided 30 hours of unplanned downtime, and saved $405,500 &#8211; including $200,000 from fixing a misaligned motor drive shaft <a href=\"https:\/\/monitory.ai\/resources\/roi-predictive-maintenance\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[19]<\/sup><\/a>.<\/p>\n<p><strong>Weeks 9\u201312: Train your AI models.<\/strong> Use 4\u20138 weeks of operational data to create a digital fingerprint for each asset. This baseline helps the system detect anomalies and set precise alert thresholds to reduce false positives. By week 13, activate real-time monitoring. Configure the system to auto-generate work orders with technician assignments and parts lists when thresholds are breached <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/iot-sensor-integration-building-maintenance\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[17]<\/sup><\/a>. This approach often delivers an ROI of 10:1, with most facilities seeing tangible results within 12\u201318 months <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/ai-predictive-maintenance-for-facilities-complete-guide\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[16]<\/sup><\/a>.<\/p>\n<p>After proving ROI with the pilot, scale up. Between months 4\u20139, focus on core equipment like chillers, boilers, main pumps, and electrical switchgear. By months 10\u201318, extend to secondary systems such as air handling units (AHUs) and exhaust fans <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>. By 2026, it\u2019s expected that 85% of large facilities will have IoT sensors installed on their core assets <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/iot-sensor-integration-building-maintenance\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[17]<\/sup><\/a>.<\/p>\n<p>Once the deployment is underway, the next critical step is ensuring smooth integration with your existing systems.<\/p>\n<h3 id=\"connecting-with-existing-systems\" tabindex=\"-1\">Connecting with Existing Systems<\/h3>\n<p>As you roll out your IoT sensors, integrating the data with your current systems is key. Without seamless integration, sensor readings risk becoming isolated, limiting their effectiveness in driving actionable maintenance. The difference between preventing failures and merely reacting to them lies in bridging the gap between monitoring and action <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/iot-sensor-integration-building-maintenance\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[17]<\/sup><\/a>.<\/p>\n<p>Ensure that sensor data connects directly to your CMMS using standard industrial protocols like MQTT, <a href=\"https:\/\/opcfoundation.org\/about\/opc-technologies\/opc-ua\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" style=\"display: inline;\">OPC-UA<\/a>, BACnet, or <a href=\"https:\/\/www.modbus.org\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" style=\"display: inline;\">Modbus<\/a> <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/iot-sensor-integration-building-maintenance\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[17]<\/sup><\/a><a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/bms-controller-predictive-maintenance\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[18]<\/sup><\/a>. For older facilities with legacy equipment, wireless retrofits using technologies like <a href=\"https:\/\/lora-alliance.org\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" style=\"display: inline;\">LoRaWAN<\/a> or cellular connectivity can bypass the cost of installing new data cables <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>. These wireless IoT sensors can be deployed without interrupting operations or requiring equipment replacements <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/bms-controller-predictive-maintenance\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[18]<\/sup><\/a>. If your building uses multiple protocols &#8211; such as BACnet for HVAC, <a href=\"https:\/\/www.modbus.org\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" style=\"display: inline;\">Modbus<\/a> for older pumps, or M-Bus for meters &#8211; universal gateways can consolidate all data into a unified, cloud-based platform <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/iot-sensor-integration-building-maintenance\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[17]<\/sup><\/a>.<\/p>\n<p>Integration doesn\u2019t stop there. Connecting with property management software like <a href=\"https:\/\/www.yardi.com\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" style=\"display: inline;\">Yardi<\/a>, <a href=\"https:\/\/www.mrisoftware.com\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" style=\"display: inline;\">MRI<\/a>, or <a href=\"https:\/\/www.appfolio.com\/property-management-software\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" style=\"display: inline;\">AppFolio<\/a> ensures that maintenance data feeds into financial and capital planning workflows <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/how-predictive-maintenance-changes-capital-planning-for-property-owners\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[6]<\/sup><\/a>. For instance, sensor alerts can trigger work orders, completed repairs can update asset condition scores, and this data can inform long-term CAPEX planning. Facilities that integrate IoT with CMMS systems report a 30\u201347% reduction in unplanned downtime <a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/iot-sensor-integration-building-maintenance\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[17]<\/sup><\/a>.<\/p>\n<blockquote>\n<p>&quot;Facilities management tech stacks will reach a new level of maturity as facility managers integrate CMMS platforms, building automation systems, IoT sensors and asset data into a single system. Rather than collecting data for reporting&#8217;s sake, they&#8217;ll be using it to guide capital planning, staffing and risk mitigation.&quot;<\/p>\n<ul>\n<li>Griffin Hamilton, CRO, <a href=\"https:\/\/www.getflowpath.com\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" style=\"display: inline;\">FlowPath<\/a> <a href=\"https:\/\/oxmaint.com\/industries\/property-management\/ai-maintenance-intelligence-capex-reduction\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[2]<\/sup><\/a><\/li>\n<\/ul>\n<\/blockquote>\n<p>Start small, prove the value, and expand systematically. You don\u2019t need to replace your entire tech stack &#8211; just connect the pieces you already have.<\/p>\n<h2 id=\"conclusion\" tabindex=\"-1\" class=\"sb h2-sbb-cls\">Conclusion<\/h2>\n<p>Predictive maintenance offers a smart way to save money while reducing emissions. The numbers speak for themselves: emergency repairs can cost up to <strong>4.8 times more<\/strong> than planned maintenance<a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/building-maintenance-management-reactive-to-proactive-operations-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[3]<\/sup><\/a>. Predictive systems, however, can cut overall maintenance costs by <strong>40\u201355%<\/strong> and reduce emergency repairs by <strong>60\u201380%<\/strong><a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>. Many facilities recover their investment in just <strong>2.5 to 6 months<\/strong>, with some reporting a <strong>19.6\u00d7 return<\/strong> in the first year<a href=\"https:\/\/oxmaint.com\/industries\/property-management\/case-study-industrial-park-asset-downtime-reduction\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[8]<\/sup><\/a>.<\/p>\n<p>Improving asset care is a key step toward achieving zero-emission buildings. Since HVAC systems alone account for <strong>39% of energy use<\/strong> in commercial buildings<a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/building-maintenance-management-reactive-to-proactive-operations-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[3]<\/sup><\/a>, addressing issues like coil fouling or refrigerant leaks early can boost efficiency and lower energy use by <strong>15\u201325%<\/strong><a href=\"https:\/\/oxmaint.com\/industries\/facility-management\/building-maintenance-management-reactive-to-proactive-operations-2026\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[3]<\/sup><\/a>. For example, a 400,000-square-foot retail center cut its HVAC energy costs by <strong>28%<\/strong>, saving <strong>$106,000 annually<\/strong>, while reducing Scope 1 and Scope 2 emissions by <strong>19%<\/strong> in just one year<a href=\"https:\/\/oxmaint.com\/industries\/property-management\/case-study-retail-shopping-center-hvac-energy-savings\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[7]<\/sup><\/a>.<\/p>\n<p>To get started, try a focused <strong>90-day pilot program<\/strong> on critical assets like a main chiller or boiler. Use your CMMS to track performance, and then expand gradually to include HVAC and secondary systems<a href=\"https:\/\/oxmaint.com\/industries\/property-management\/predictive-maintenance-prevents-breakdowns\" target=\"_blank\" style=\"display: inline;\" rel=\"nofollow noopener noreferrer\"><sup>[5]<\/sup><\/a>.<\/p>\n<h2 id=\"faqs\" tabindex=\"-1\" class=\"sb h2-sbb-cls\">FAQs<\/h2>\n<h3 id=\"whats-the-fastest-way-to-prove-roi-with-a-90-day-pilot\" tabindex=\"-1\" data-faq-q>What\u2019s the fastest way to prove ROI with a 90-day pilot?<\/h3>\n<p>To demonstrate ROI within 90 days, start with a <strong>proof of value assessment<\/strong> early in the pilot phase &#8211; don\u2019t wait until the end. Prioritize measurable KPIs such as <strong>cutting unplanned downtime<\/strong>, <strong>lowering maintenance costs<\/strong>, and <strong>boosting asset performance<\/strong>. Leverage real-time data and sensor monitoring to track progress effectively. Then, compile the verified savings and operational improvements into clear, concise reports that are ready to present to stakeholders during the pilot.<\/p>\n<h3 id=\"which-assets-should-i-monitor-first-in-my-buildings\" tabindex=\"-1\" data-faq-q>Which assets should I monitor first in my buildings?<\/h3>\n<p>To make a real difference in energy efficiency and reliability, begin by keeping a close eye on essential assets like <strong>HVAC systems, chillers, and boilers<\/strong>. These systems play a major role in energy consumption and overall performance. Implementing predictive maintenance for them can help you avoid unexpected breakdowns, extend their operational lifespan, and cut down on running costs. Focusing on these areas not only delivers measurable ROI but also aligns with efforts to meet zero-emission targets.<\/p>\n<h3 id=\"how-do-i-calculate-roi-across-a-whole-property-portfolio\" tabindex=\"-1\" data-faq-q>How do I calculate ROI across a whole property portfolio?<\/h3>\n<p>Calculating ROI for a property portfolio means focusing on measurable outcomes. Key areas to examine include reduced maintenance costs, which can drop by <strong>25\u201340%<\/strong>, and improved technician productivity, which often sees a boost of around <strong>35%<\/strong>. Additionally, extending asset lifespans by up to <strong>21%<\/strong> can significantly contribute to long-term savings.<\/p>\n<p>Predictive maintenance plays a big role here, slashing reactive expenses by <strong>64%<\/strong> and helping to avoid those expensive, last-minute emergency repairs. To get a clear picture, start by establishing baseline costs. Then, track savings over time and leverage financial dashboards to measure improvements in both reliability and efficiency across your portfolio.<\/p>\n<h2>Related Blog Posts<\/h2>\n<ul>\n<li><a href=\"\/en\/predictive-maintenance-for-asset-management-infrastructure-and-real-estate-is-critical-use-the-web-site-the-web-sitehttpstheiamorg\/\" style=\"display: inline;\">Predictive Maintenance for Asset Management (Infrastructure and Real Estate) is critical &#8211; use the web site the web site:https:\/\/theiam.org<\/a><\/li>\n<li><a href=\"\/en\/predictive-maintenance-and-roi\/\" style=\"display: inline;\">Predictive Maintenance &#038; ROI<\/a><\/li>\n<li><a href=\"\/en\/energy-savings-emissions-reduction-predictive-maintenance-roi\/\" style=\"display: inline;\">Energy Savings and Emissions Reduction: The Hidden ROI of Predictive Maintenance<\/a><\/li>\n<li><a href=\"\/en\/how-predictive-maintenance-improves-service-levels\/\" style=\"display: inline;\">How Predictive Maintenance Improves Service Levels for Occupants and Users<\/a><\/li>\n<\/ul>\n<p><script async type=\"text\/javascript\" src=\"https:\/\/app.seobotai.com\/banner\/banner.js?id=69c5cfdd1b352ff267cc3879\"><\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>El mantenimiento predictivo impulsado por IoT e IA reduce los costes de mantenimiento de los edificios, recorta la energ\u00eda de HVAC 15-25%, reduce las emergencias y acelera el ROI.<\/p>","protected":false},"author":9,"featured_media":14072,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"Predictive Maintenance for Zero-Emission Building Pathways: Where ROI Appears First","_seopress_titles_desc":"IoT and AI-powered predictive maintenance cuts building maintenance costs, trims HVAC energy 15\u201325%, reduces emergencies and speeds ROI.","_seopress_robots_index":"","footnotes":""},"categories":[1],"tags":[],"customer-name":[],"industry":[],"class_list":["post-14073","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"_links":{"self":[{"href":"https:\/\/oxand.com\/es\/wp-json\/wp\/v2\/posts\/14073","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oxand.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/oxand.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/oxand.com\/es\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/oxand.com\/es\/wp-json\/wp\/v2\/comments?post=14073"}],"version-history":[{"count":0,"href":"https:\/\/oxand.com\/es\/wp-json\/wp\/v2\/posts\/14073\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oxand.com\/es\/wp-json\/wp\/v2\/media\/14072"}],"wp:attachment":[{"href":"https:\/\/oxand.com\/es\/wp-json\/wp\/v2\/media?parent=14073"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/oxand.com\/es\/wp-json\/wp\/v2\/categories?post=14073"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/oxand.com\/es\/wp-json\/wp\/v2\/tags?post=14073"},{"taxonomy":"customer-name","embeddable":true,"href":"https:\/\/oxand.com\/es\/wp-json\/wp\/v2\/customer-name?post=14073"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/oxand.com\/es\/wp-json\/wp\/v2\/industry?post=14073"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}