{"id":1269,"date":"2026-08-17T16:53:59","date_gmt":"2026-08-17T15:53:59","guid":{"rendered":"https:\/\/aiprocessia.com\/blog\/reduce-cart-abandonment-ai-chatbot\/"},"modified":"2026-08-17T16:57:45","modified_gmt":"2026-08-17T15:57:45","slug":"reduce-cart-abandonment-ai-chatbot","status":"publish","type":"post","link":"https:\/\/aiprocessia.com\/blog\/en\/reduce-cart-abandonment-ai-chatbot\/","title":{"rendered":"Cart Abandonment: How an AI Chatbot Recovers Sales You&#8217;d Already Written Off"},"content":{"rendered":"<p>It&#8217;s 11:40 pm. A visitor lands on your online store, drops three products into the cart and reaches the checkout. That&#8217;s where they stop: they want to know whether delivery arrives before Friday and whether there&#8217;s a surcharge for their region. They look for that information, don&#8217;t find it straight away, open another tab &#8220;to check later&#8221;\u2026 and never come back.<\/p>\n\n<p>That sale wasn&#8217;t lost on price. It was lost to a thirty-second question nobody answered. And it happens dozens of times a month in any store with decent traffic. The good news is that this exact moment \u2014the moment of doubt\u2014 is the easiest one to recover, and it&#8217;s precisely where a well-built conversational assistant earns its keep. This article covers how to <strong>reduce cart abandonment<\/strong> with an AI chatbot: what it must do, what it must never do, and at what volume it starts paying off.<\/p>\n\n\n<div class=\"wp-block-group aiprocessia-key-takeaway is-layout-constrained wp-block-group-is-layout-constrained\" style=\"background:#dbeafe;border-left:4px solid #1d4ed8;border-radius:8px;padding:24px;margin:24px 0;color:#0f172a\">\n  <p class=\"wp-block-paragraph\" style=\"color:#0f172a !important\"><strong style=\"color:#0f172a !important\">Quick answer:<\/strong> An AI chatbot reduces cart abandonment by answering the doubts that stall a purchase \u2014shipping, delivery times, sizing, warranties\u2014 at the exact moment they arise, and by capturing the contact details of visitors who leave without buying.<\/p>\n<\/div>\n\n\n<!-- AIPROCESSIA-VIDEO-qAeE1ycATI4 -->\n<figure style=\"margin:2em 0\">\n  <div style=\"position:relative;padding-bottom:56.25%;height:0;overflow:hidden;border-radius:8px\">\n    <iframe src=\"https:\/\/www.youtube.com\/embed\/qAeE1ycATI4\" title=\"AI chatbot for ecommerce: a salesperson that never sleeps\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;border:0\" loading=\"lazy\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen><\/iframe>\n  <\/div>\n  <figcaption style=\"font-size:.9em;color:#94a3b8;margin-top:.5em\">V\u00eddeo: <a href=\"https:\/\/www.youtube.com\/watch?v=qAeE1ycATI4\" rel=\"noopener\" target=\"_blank\">AI chatbot for ecommerce: a salesperson that never sleeps<\/a> \u2014 canal de Softnet Sistemas.<\/figcaption>\n<\/figure>\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"VideoObject\",\n  \"name\": \"AI chatbot for ecommerce: a salesperson that never sleeps\",\n  \"description\": \"How many sales do you lose to unanswered questions? The AIPROCESSIA AI sales assistant answers every visitor of your online store with your real products: cards with photo, live price and add-to-cart without leaving the chat. It pushes your real best sellers first, answers in each visitor's language and emails you the lead when someone wants to buy.\",\n  \"thumbnailUrl\": [\n    \"https:\/\/i.ytimg.com\/vi\/qAeE1ycATI4\/hqdefault.jpg\",\n    \"https:\/\/i.ytimg.com\/vi\/qAeE1ycATI4\/maxresdefault.jpg\"\n  ],\n  \"uploadDate\": \"2026-08-08T15:08:39-07:00\",\n  \"contentUrl\": \"https:\/\/www.youtube.com\/watch?v=qAeE1ycATI4\",\n  \"embedUrl\": \"https:\/\/www.youtube.com\/embed\/qAeE1ycATI4\",\n  \"publisher\": {\n    \"@type\": \"Organization\",\n    \"name\": \"AIPROCESSIA\",\n    \"logo\": {\n      \"@type\": \"ImageObject\",\n      \"url\": \"https:\/\/aiprocessia.com\/assets\/logo-aiprocessia.png\"\n    }\n  },\n  \"duration\": \"PT51S\"\n}\n<\/script>\n<!-- \/AIPROCESSIA-VIDEO-qAeE1ycATI4 -->\n\n<h2>70% of carts are abandoned, and rarely because of the product price<\/h2>\n\n<p>The sector&#8217;s benchmark figure has been stable for over a decade: <strong>70.19% of shopping carts are abandoned<\/strong>, according to the average the Baymard Institute calculates by aggregating 49 separate studies (Baymard Institute, 2026). On mobile the number climbs even higher, to <strong>80.45%<\/strong>, against 68.62% on desktop.<\/p>\n\n<p>What matters isn&#8217;t the headline percentage but the breakdown of reasons. Unexpected extra costs (shipping, taxes, fees) account for 39% of abandonments; delivery times that are too long, 21%; lack of trust in the site and forced account creation, 19% each. In other words: the vast majority of abandoned carts don&#8217;t collapse because &#8220;it&#8217;s expensive&#8221;, but because of <strong>information that arrives late, never arrives, or arrives in the wrong form<\/strong>.<\/p>\n\n<p>That is exactly the class of problem a conversation solves in seconds. If the visitor asks &#8220;how much is shipping to my area and when does it arrive?&#8221; and gets a concrete answer before leaving the page, the reason for abandoning simply disappears.<\/p>\n\n<h2>How an AI chatbot recovers the cart, step by step<\/h2>\n\n<p>An assistant that genuinely reduces abandonment is not an FAQ widget. It works at four distinct points of the journey:<\/p>\n\n<ol>\n  <li><strong>Before the cart \u2014 finding the right product.<\/strong> A large share of exits happen because the visitor can&#8217;t locate what they want in a catalogue of hundreds or thousands of references. The assistant understands the request in natural language (&#8220;I&#8217;m after a red wine as a gift, around 20 euros&#8221;) and returns product cards with final prices including tax and an add-to-cart button.<\/li>\n  <li><strong>On the product page \u2014 clearing the specific objection.<\/strong> Compatibility, materials, sizing, lead times, warranty, returns. An assistant wired into the real catalogue knows which product the visitor is looking at and answers about <em>that<\/em> product, not in the abstract.<\/li>\n  <li><strong>At the checkout \u2014 removing last-minute friction.<\/strong> Shipping costs by zone, accepted payment methods, returns policy, VAT invoicing for businesses. These are the four questions that kill the most carts, and all four have objective answers.<\/li>\n  <li><strong>When the visitor leaves anyway \u2014 capturing the contact.<\/strong> If the doubt can&#8217;t be closed (a special lead time, a bulk order, an out-of-stock item), the assistant asks for a name and an email or phone number and hands the case to a person. That lead is worth far more than an anonymous abandoned cart.<\/li>\n<\/ol>\n\n<p>The aggregate effect shows up in the conversion rate of the segment that engages: visitors who interact with a chat convert in ranges of 12% to 32%, against the 1-3% typical of the site as a whole, according to aggregated live-chat industry data. It isn&#8217;t magic: whoever asks a question is already in buying mode and is only missing one fact.<\/p>\n\n<h2>What a good assistant must NOT do<\/h2>\n\n<p>The complaints raised about store chatbots are always the same three, and it&#8217;s worth demanding the opposite before signing anything:<\/p>\n\n<ul>\n  <li><strong>Making up prices, stock or delivery dates.<\/strong> An assistant that hallucinates a non-existent discount creates a commercial problem, not a sale. The hard rule is that product data always comes from the synchronised catalogue \u2014 and that when there&#8217;s no data, it says so.<\/li>\n  <li><strong>Trapping the customer in a loop.<\/strong> When the bot doesn&#8217;t know, it has to offer a way out to a human (WhatsApp, form, phone) in the same message. The dead-end loop is the number one driver of bad reviews in this category.<\/li>\n  <li><strong>Answering in generalities.<\/strong> &#8220;Please check our shipping policy&#8221; solves nothing: the visitor is already on the site and has already failed to find it. The useful answer is &#8220;\u20ac3.90 to your area, delivered in 24-48 working hours&#8221;.<\/li>\n<\/ul>\n\n<h2>Results: what actually moves the needle<\/h2>\n\n<p>It pays to be honest about expectations. A conversational assistant doesn&#8217;t take abandonment from 70% down to 20%: it acts on the slice of abandonments caused by answerable doubts, which is large but not the whole picture. Baymard itself estimates that checkout design and clarity improvements alone can deliver an <strong>average 35.26% uplift in conversion rate<\/strong> (Baymard Institute, 2026), and chat is one of the fastest levers to deploy within that set.<\/p>\n\n<p>At an Alicante-based online wine merchant with more than 1,300 references, the assistant was connected to the real catalogue with final prices and best-sellers, and the clearest measurable effect wasn&#8217;t only the recovered cart: it was the volume of night-time and weekend enquiries that previously went unanswered until Monday.<\/p>\n\n<h2>When does it make sense, and when doesn&#8217;t it?<\/h2>\n\n<p>Practical criteria to decide without overspending:<\/p>\n\n<ul>\n  <li><strong>It makes sense<\/strong> from roughly 1,500-2,000 visits a month, with a broad or technical catalogue (where choosing is hard), an average order value that justifies the fixed cost, and a meaningful share of traffic outside support hours.<\/li>\n  <li><strong>It doesn&#8217;t pay off yet<\/strong> if traffic is very low, the catalogue has four obvious references, or the real problem lies elsewhere: shipping costs hidden until the final step, a six-screen checkout, or mandatory registration. Fix the checkout first; add the assistant afterwards.<\/li>\n  <li><strong>Before you sign<\/strong>, check that pricing doesn&#8217;t depend on the number of conversations. Per-conversation or per-resolution models turn a good traffic month into a surprise invoice: we break it down with figures in <a href=\"https:\/\/aiprocessia.com\/blog\/en\/how-much-does-ai-chatbot-cost-online-store\/\">how much an AI chatbot for your online store costs<\/a>, and we compare the real options by platform in <a href=\"https:\/\/aiprocessia.com\/blog\/en\/best-ai-chatbot-prestashop-compared\/\">the best AI chatbot for PrestaShop<\/a>.<\/li>\n<\/ul>\n\n<h2>Frequently asked questions<\/h2>\n\n<h3>How far can my cart abandonment rate actually fall?<\/h3>\n<p>It depends on how many of your abandonments stem from doubts rather than price or checkout friction. The assistant acts on the first category, which in Baymard&#8217;s research accounts for a very significant share of the total. The honest approach is to measure your baseline for a month before installing it and compare afterwards against the same period the previous year.<\/p>\n\n<h3>Can the chatbot invent a price or a delivery date?<\/h3>\n<p>It shouldn&#8217;t, and that&#8217;s the first question to put to any vendor. A serious assistant queries the synchronised catalogue on every answer and has hard instructions not to respond when it lacks the data. If the vendor can&#8217;t explain how it prevents hallucinations about price and stock, that alone is reason enough to rule it out.<\/p>\n\n<h3>Does it work just as well on mobile, where most carts are abandoned?<\/h3>\n<p>Yes, and that&#8217;s where it&#8217;s needed most. The 2026 data confirms it: 80.45% of mobile carts are abandoned against 68.62% on desktop (Baymard Institute, 2026), largely because hunting for information on a small screen is far more costly. Asking is much quicker than tabbing through product pages on a phone.<\/p>\n\n<h3>Does it replace abandoned-cart emails?<\/h3>\n<p>No \u2014 they complement each other. Email acts afterwards, and only if you already have the visitor&#8217;s address. The assistant acts beforehand, at the moment of doubt, and it captures the contact details of someone who would otherwise have left anonymously, which in turn feeds your email recovery flow.<\/p>\n\n<h3>How long does it take to go live?<\/h3>\n<p>With the catalogue reachable via API or feed, a typical rollout takes days, not months: catalogue synchronisation, loading shipping and returns policies, escalation rules to a human, and testing against real questions from your customers.<\/p>\n\n<p>If you have traffic and sales but sense that carts are dropping because nobody answers doubts in time, an <a href=\"https:\/\/aiprocessia.com\/en\/ai-shopping-assistant\/\">AI shopping assistant for your online store<\/a> is one of the fastest-returning and least invasive levers available: it doesn&#8217;t change your platform or your catalogue, it just answers on time.<\/p>\n\n\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How far can my cart abandonment rate actually fall?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"It depends on how many of your abandonments stem from doubts rather than price or checkout friction. The assistant acts on the first category, which in Baymard's research accounts for a very significant share of the total. The honest approach is to measure your baseline for a month before installing it and compare afterwards against the same period the previous year.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can the chatbot invent a price or a delivery date?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"It shouldn't, and that's the first question to put to any vendor. A serious assistant queries the synchronised catalogue on every answer and has hard instructions not to respond when it lacks the data. If the vendor can't explain how it prevents hallucinations about price and stock, that alone is reason enough to rule it out.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Does it work just as well on mobile, where most carts are abandoned?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, and that's where it's needed most: 80.45% of mobile carts are abandoned against 68.62% on desktop (Baymard Institute, 2026), largely because hunting for information on a small screen is far more costly. Asking is much quicker than tabbing through product pages on a phone.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Does it replace abandoned-cart emails?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"No \u2014 they complement each other. Email acts afterwards, and only if you already have the visitor's address. The assistant acts beforehand, at the moment of doubt, and it captures the contact details of someone who would otherwise have left anonymously, which in turn feeds your email recovery flow.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"How long does it take to go live?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"With the catalogue reachable via API or feed, a typical rollout takes days, not months: catalogue synchronisation, loading shipping and returns policies, escalation rules to a human, and testing against real questions from your customers. If you have traffic and sales but sense that carts are dropping because nobody answers doubts in time, an AI shopping assistant for your online store is one of the fastest-returning and least invasive levers available: it doesn't change your platform or your catalogue, it just answers on time.\"\n      }\n    }\n  ]\n}\n<\/script>\n\n<!-- AIPROCESSIA-ENRICH-2026-06-10 -->\n<figure style=\"margin:2.2em 0;\"><figcaption style=\"font-weight:700;margin-bottom:.7em;font-size:1.05em;\">Why carts get abandoned (Baymard Institute, 2026)<\/figcaption><table style=\"width:100%;border-collapse:collapse;font-size:.96em;line-height:1.4;\"><thead><tr style=\"background:#1d4ed8;color:#fff;\"><th style=\"padding:10px 12px;text-align:left;border:1px solid #1d4ed8;\">Reason<\/th><th style=\"padding:10px 12px;text-align:left;border:1px solid #1d4ed8;\">% of shoppers<\/th><th style=\"padding:10px 12px;text-align:left;border:1px solid #1d4ed8;\">Does the assistant solve it?<\/th><\/tr><\/thead><tbody><tr><td style=\"padding:9px 12px;border:1px solid #33415544;\">Unexpected extra costs<\/td><td style=\"padding:9px 12px;border:1px solid #33415544;\">39%<\/td><td style=\"padding:9px 12px;border:1px solid #33415544;\">Yes, surfaced before checkout<\/td><\/tr><tr><td style=\"padding:9px 12px;border:1px solid #33415544;\">Delivery time too long<\/td><td style=\"padding:9px 12px;border:1px solid #33415544;\">21%<\/td><td style=\"padding:9px 12px;border:1px solid #33415544;\">Yes, with the real lead time by zone<\/td><\/tr><tr><td style=\"padding:9px 12px;border:1px solid #33415544;\">Lack of trust in the site<\/td><td style=\"padding:9px 12px;border:1px solid #33415544;\">19%<\/td><td style=\"padding:9px 12px;border:1px solid #33415544;\">Yes, doubts answered on the spot<\/td><\/tr><tr><td style=\"padding:9px 12px;border:1px solid #33415544;\">Mandatory account creation<\/td><td style=\"padding:9px 12px;border:1px solid #33415544;\">19%<\/td><td style=\"padding:9px 12px;border:1px solid #33415544;\">No: the checkout needs fixing<\/td><\/tr><\/tbody><\/table><\/figure><figure style=\"margin:2.2em 0;\"><figcaption style=\"font-weight:700;margin-bottom:.7em;font-size:1.05em;\">Cart abandonment rate by device<\/figcaption><svg viewBox=\"0 0 600 98\" role=\"img\" style=\"width:100%;height:auto;max-width:620px;font-family:inherit;\"><text x=\"0\" y=\"38\" fill=\"currentColor\" font-size=\"14\">Mobile<\/text><rect x=\"140\" y=\"22\" width=\"430\" height=\"24\" rx=\"4\" fill=\"#64748b\"><\/rect><text x=\"578\" y=\"39\" fill=\"currentColor\" font-size=\"14\" font-weight=\"700\">80.45%<\/text><text x=\"0\" y=\"78\" fill=\"currentColor\" font-size=\"14\">Desktop<\/text><rect x=\"140\" y=\"62\" width=\"366\" height=\"24\" rx=\"4\" fill=\"#3b82f6\"><\/rect><text x=\"514\" y=\"79\" fill=\"currentColor\" font-size=\"14\" font-weight=\"700\">68.62%<\/text><\/svg><\/figure>\n<!-- \/AIPROCESSIA-ENRICH-2026-06-10 -->\n\n<p><strong><a href=\"https:\/\/aiprocessia.com\/en\/#contact\">Contact us and we&#8217;ll analyse your case for free \u2192<\/a><\/strong><\/p>\n\n<!-- AIPROCESSIA-AUTHOR-BIO-V1 -->\n<div style=\"margin-top:48px;padding:24px;border:1px solid #334155;border-radius:12px;background:#1e293b;display:flex;gap:20px;align-items:flex-start;flex-wrap:wrap\">\n  <a href=\"https:\/\/joseaparra.com\/\" rel=\"author noopener\" target=\"_blank\" style=\"flex-shrink:0\">\n    <img src=\"https:\/\/aiprocessia.com\/blog\/wp-content\/uploads\/2026\/05\/jose_parra_avatar_1080.jpg\" alt=\"Jose A. Parra - CEO and founder of AIPROCESSIA\" width=\"120\" height=\"120\" loading=\"lazy\" decoding=\"async\" style=\"border-radius:50%;object-fit:cover;display:block\" \/>\n  <\/a>\n  <div style=\"flex:1;min-width:240px\">\n    <p style=\"margin:0 0 4px 0;font-size:12px;text-transform:uppercase;letter-spacing:0.05em;color:#94a3b8 !important;font-weight:600\">About the author<\/p>\n    <h3 style=\"margin:0 0 6px 0;font-size:20px;color:#f1f5f9 !important\">\n      <a href=\"\/blog\/author\/jose-a-parra\/\" rel=\"author\" style=\"color:#f1f5f9 !important;text-decoration:none\">Jose A. Parra<\/a>\n    <\/h3>\n    <p style=\"margin:0 0 10px 0;font-size:14px;color:#cbd5e1 !important\"><strong>CEO &amp; Founder of AIPROCESSIA<\/strong> \u2014 30 years as IT consultant for Spanish SMBs.<\/p>\n    <p style=\"margin:0 0 12px 0;font-size:14px;color:#cbd5e1 !important;line-height:1.55\">\n      For three decades I&#8217;ve been deploying ERP systems, integrations and \u2014 since 2023 \u2014 AI agents, RPA and OCR in real-world flows for invoicing, maintenance and customer service. My focus: automate <strong>5 key processes for under \u20ac100\/month<\/strong> and give back <strong>20-40 hours per week<\/strong> to the team \u2014 no one gets replaced.\n    <\/p>\n    <p style=\"margin:0 0 12px 0;font-size:13px;color:#94a3b8 !important\">\n      Certified <strong>Generative AI Expert<\/strong> \u00b7 UDIA \u00b7 2026.\n    <\/p>\n    <p style=\"margin:0;font-size:14px\">\n      <a href=\"https:\/\/www.linkedin.com\/in\/joseantparra\/\" rel=\"author noopener\" target=\"_blank\" style=\"color:#60a5fa !important;text-decoration:none;margin-right:14px\">LinkedIn \u2192<\/a>\n      <a href=\"https:\/\/joseaparra.com\/\" rel=\"author noopener\" target=\"_blank\" style=\"color:#60a5fa !important;text-decoration:none\">Personal site \u2192<\/a>\n    <\/p>\n  <\/div>\n<\/div>\n<!-- \/AIPROCESSIA-AUTHOR-BIO-V1 -->\n\n<!-- AIPROCESSIA-AUTHOR-SCHEMA-V1 -->\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"Article\",\n  \"headline\": \"Cart Abandonment: How an AI Chatbot Recovers Sales You\u2019d Already Written Off\",\n  \"description\": \"70.19% of carts are abandoned, and rarely on price: they are unanswered doubts. How an AI chatbot resolves them in the moment and recovers those sales.\",\n  \"inLanguage\": \"en\",\n  \"mainEntityOfPage\": {\n    \"@type\": \"WebPage\",\n    \"@id\": \"https:\/\/aiprocessia.com\/blog\/en\/reduce-cart-abandonment-ai-chatbot\/\"\n  },\n  \"datePublished\": \"2026-08-17T16:53:59\",\n  \"dateModified\": \"2026-08-17T16:55:23\",\n  \"author\": {\n    \"@type\": \"Person\",\n    \"name\": \"Jose A. 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Certified Generative AI Expert (UDIA, 2026).\"\n  },\n  \"publisher\": {\n    \"@type\": \"Organization\",\n    \"name\": \"AIPROCESSIA\",\n    \"url\": \"https:\/\/aiprocessia.com\/\",\n    \"logo\": {\n      \"@type\": \"ImageObject\",\n      \"url\": \"https:\/\/aiprocessia.com\/assets\/logo-aiprocessia.png\"\n    }\n  },\n  \"image\": \"https:\/\/aiprocessia.com\/blog\/wp-content\/uploads\/2026\/05\/jose_parra_avatar_1080.jpg\"\n}\n<\/script>\n<!-- \/AIPROCESSIA-AUTHOR-SCHEMA-V1 -->\n","protected":false},"excerpt":{"rendered":"<p>70.19% of carts are abandoned, and rarely on price: they are unanswered doubts. How an AI chatbot resolves them in the moment and recovers those sales.<\/p>\n","protected":false},"author":3,"featured_media":1270,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32],"tags":[],"class_list":["post-1269","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-process-optimization"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/aiprocessia.com\/blog\/wp-json\/wp\/v2\/posts\/1269","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aiprocessia.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aiprocessia.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aiprocessia.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/aiprocessia.com\/blog\/wp-json\/wp\/v2\/comments?post=1269"}],"version-history":[{"count":7,"href":"https:\/\/aiprocessia.com\/blog\/wp-json\/wp\/v2\/posts\/1269\/revisions"}],"predecessor-version":[{"id":1284,"href":"https:\/\/aiprocessia.com\/blog\/wp-json\/wp\/v2\/posts\/1269\/revisions\/1284"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aiprocessia.com\/blog\/wp-json\/wp\/v2\/media\/1270"}],"wp:attachment":[{"href":"https:\/\/aiprocessia.com\/blog\/wp-json\/wp\/v2\/media?parent=1269"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aiprocessia.com\/blog\/wp-json\/wp\/v2\/categories?post=1269"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aiprocessia.com\/blog\/wp-json\/wp\/v2\/tags?post=1269"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}