{"id":7440,"date":"2026-04-23T08:15:00","date_gmt":"2026-04-23T08:15:00","guid":{"rendered":"https:\/\/bonitopack.com\/?p=7440"},"modified":"2026-04-22T15:31:46","modified_gmt":"2026-04-22T15:31:46","slug":"how-ai-is-rewriting-the-rules-of-custom-packaging","status":"publish","type":"post","link":"https:\/\/bonitopack.com\/fr\/how-ai-is-rewriting-the-rules-of-custom-packaging\/","title":{"rendered":"How AI Is Rewriting the Rules of Custom Packaging"},"content":{"rendered":"\n

Content Menu<\/strong><\/p>\n\n\n\n

\u25cf What “AI in Custom Packaging” Really Means Today<\/a><\/p>\n\n\n\n

\u25cf Core Use Cases of AI in Custom Packaging<\/a><\/p>\n\n\n\n

>> 1. Smarter, Always\u2011On Customer Consultation<\/a><\/p>\n\n\n\n

>> 2. AI\u2011Accelerated Structural and Graphic Design<\/a><\/p>\n\n\n\n

>> 3. Virtual Prototyping and Faster Testing<\/a><\/p>\n\n\n\n

>> 4. Data\u2011Driven Procurement and Supply Chain Planning<\/a><\/p>\n\n\n\n

>> 5. AI\u2011Enhanced Printing, Quality, and Maintenance<\/a><\/p>\n\n\n\n

>> 6. Smarter Warehousing and Low\u2011Carbon Logistics<\/a><\/p>\n\n\n\n

>> 7. AI and the Future of Packaging Sustainability<\/a><\/p>\n\n\n\n

\u25cf What Brand Owners Should Do Before Asking AI for “Cool Designs”<\/a><\/p>\n\n\n\n

\u25cf A Simple, Practical AI Workflow for Custom Paper Packaging<\/a><\/p>\n\n\n\n

\u25cf Real\u2011World Examples of AI in Packaging<\/a><\/p>\n\n\n\n

\u25cf Risks, Limitations, and Ethical Questions You Can’t Ignore<\/a><\/p>\n\n\n\n

\u25cf Where Bonito\u2011Type Manufacturers Fit in an AI\u2011Driven Future<\/a><\/p>\n\n\n\n

\u25cf FAQs<\/a><\/p>\n\n\n\n

>> 1. How is AI actually used in custom packaging today?<\/a><\/p>\n\n\n\n

>> 2. Can AI really make my packaging more sustainable?<\/a><\/p>\n\n\n\n

>> 3. Will AI replace human packaging designers and engineers?<\/a><\/p>\n\n\n\n

>> 4. Is AI\u2011driven packaging only for big global brands?<\/a><\/p>\n\n\n\n

>> 5. How do I start using AI for my next packaging project?<\/a><\/p>\n\n\n\n

\u25cf References<\/a><\/p>\n\n\n\n

In the last three years, I’ve watched AI quietly move from “interesting experiment” to real competitive advantage<\/strong> in custom packaging<\/a> projects. From briefings with packaging engineers to strategy calls with DTC founders, one pattern is clear: brands that combine AI with expert manufacturing partners<\/a> are cutting lead times, reducing waste, and launching more memorable packaging than ever before. [blog.bradyplus<\/a>]<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

<\/a>What “AI in Custom Packaging” Really Means Today<\/strong><\/h2>\n\n\n\n

AI in custom packaging is no longer just about cool mockups; it now touches strategy, design, engineering, procurement, production, logistics, and even end-of-life recycling. Recent industry reports show that around three\u2011quarters of packaging companies plan to use generative AI<\/strong>, and more than half of early adopters say its impact exceeded expectations in productivity and innovation. [pmmi<\/a>]<\/p>\n\n\n\n

From my perspective as a content strategist working with manufacturers like Bonito Packaging, the biggest shift<\/strong> is that AI is becoming a *decision engine* across the packaging lifecycle, not a toy for visual experiments. [packworld<\/a>]<\/p>\n\n\n\n

<\/a>Core Use Cases of AI in Custom Packaging<\/strong><\/h2>\n\n\n\n

<\/a>1. Smarter, Always\u2011On Customer Consultation<\/strong><\/h3>\n\n\n\n

Many packaging converters now deploy AI\u2011powered chatbots and assistants<\/strong> on their websites to provide instant responses to common packaging questions. These tools ask about product type, dimensions, budget, and sustainability goals, then recommend suitable structures, materials, and finishes in seconds<\/strong>. [hotcustomboxes<\/a>]<\/p>\n\n\n\n

On the commercial side, sales teams increasingly rely on AI tools that analyze historical quotes, order data, and current material prices<\/strong> to generate far more accurate cost estimates in minutes rather than days. As these systems mature, it’s realistic to imagine an almost fully automated quoting and ordering workflow<\/strong>, with humans focusing on complex, high\u2011value projects where experience and judgment are irreplaceable. [pakfactory<\/a>]<\/p>\n\n\n\n

<\/a>2. AI\u2011Accelerated Structural and Graphic Design<\/strong><\/h3>\n\n\n\n

Design is where many brand owners first “feel” the impact of AI. Today, packaging designers combine generative AI image tools<\/strong> (for artwork) with specialized 3D\/structural platforms<\/strong> (for dielines and mockups). [imperialpaper<\/a>]<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

– Tools like Midjourney or similar gen\u2011AI platforms help generate concept artwork<\/strong> in seconds based on text prompts. [thecustomboxes<\/a>]<\/p>\n\n\n\n

– Platforms such as Pacdora create instant dielines, 3D previews, and print\u2011ready structures<\/strong>, drastically cutting the time from idea to workable design. [pakfactory<\/a>]<\/p>\n\n\n\n

Critically, AI isn’t just a creative shortcut; it also optimizes engineering constraints<\/strong> like board grade, wall thickness, stacking strength, and material usage to meet performance requirements with less waste. Forward\u2011looking brands already use AI models that analyze consumer behavior and retail performance data<\/strong> to predict which design variants will stand out on shelf or perform better in A\/B tests. [towardspackaging<\/a>]<\/p>\n\n\n\n

<\/a>3. Virtual Prototyping and Faster Testing<\/strong><\/h3>\n\n\n\n

Traditionally, structural testing depended on multiple rounds of physical sampling, which added cost and weeks to a project. AI\u2011driven simulation and virtual prototyping<\/strong> now allow engineers to test usability, drop resistance, compression strength, and unboxing flow in a digital environment. [imperialpaper<\/a>]<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Some converters augment this with VR shelf simulations<\/strong>, letting marketing teams see how a pack competes visually in a realistic retail setting before paying for print. Over time, AI systems will be able to generate thousands of prototype variations<\/strong>, automatically identify structural weaknesses, and iterate toward designs that balance protection, cost, and sustainability<\/strong> better than manual trial\u2011and\u2011error. [packagingblog<\/a>]<\/p>\n\n\n\n

<\/a>4. Data\u2011Driven Procurement and Supply Chain Planning<\/strong><\/h3>\n\n\n\n

Packaging procurement is inherently complex: fluctuating paper prices, capacity constraints, lead times, and sustainability requirements all collide. AI\u2011powered analytics platforms now ingest supplier performance data, historical orders, raw\u2011material indices, and logistics constraints<\/strong> to support more accurate, data\u2011driven purchasing decisions<\/strong>. [pmmi<\/a>]<\/p>\n\n\n\n

Advanced users go a step further with predictive models<\/strong> that forecast demand by product line, season, and channel, then recommend when and how much board or specialty paper to buy. There is also growing interest in combining AI with blockchain\u2011based traceability<\/strong>, giving brands tamper\u2011proof visibility into fiber sources, certifications, and transit history\u2014vital for ESG reporting and retailer audits. [mckinsey<\/a>]<\/p>\n\n\n\n

<\/a>5. AI\u2011Enhanced Printing, Quality, and Maintenance<\/strong><\/h3>\n\n\n\n

On the factory floor, AI has become a practical tool rather than a futuristic promise. Machine\u2011learning algorithms now help stabilize color, control dot gain, and optimize press profiles<\/strong>, resulting in more consistent print runs and fewer waste sheets. [pmmi<\/a>]<\/p>\n\n\n\n

Equally important, computer vision inspection systems<\/strong> monitor cartons and labels in real time, flagging missing text, misregistration, smudges, or structural defects far faster than human inspectors<\/strong>. At the equipment level, AI\u2011based predictive maintenance<\/strong> uses sensor data to predict when a press, die\u2011cutter, or gluer is likely to fail, enabling planned interventions that minimize unplanned downtime. [towardspackaging<\/a>]<\/p>\n\n\n\n

For brands, the net effect is tighter lead times, more stable quality, and fewer costly reprints<\/strong>, especially on complex runs or high\u2011volume SKUs. [packworld<\/a>]<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

<\/a>6. Smarter Warehousing and Low\u2011Carbon Logistics<\/strong><\/h3>\n\n\n\n

AI is also reshaping how packaging moves after it leaves the press. In distribution centers, AI\u2011driven picking and sorting systems<\/strong> help ensure the right packaging components reach co\u2011packers or fulfillment centers on time and in sequence. [pakfactory<\/a>]<\/p>\n\n\n\n

For outbound logistics, route\u2011optimization engines use live data (traffic, weather, load patterns) to reduce transit times, fuel use, and emissions<\/strong>. Large players have gone further: Amazon, for example, has rolled out AI\u2011guided drone delivery<\/strong> that autonomously avoids obstacles and executes precise deliveries, showcasing how AI and automation can compress lead times for time\u2011sensitive shipments. [packagingblog<\/a>]<\/p>\n\n\n\n

While drones and autonomous vehicles are still emerging for packaging logistics, the underlying trend is clear: smart routing and fulfillment<\/strong> will become standard expectations, not differentiators. [packworld<\/a>]<\/p>\n\n\n\n

<\/a>7. AI and the Future of Packaging Sustainability<\/strong><\/h3>\n\n\n\n

Brands are under intense pressure to reduce packaging waste and move toward recyclable, renewable, or compostable<\/strong> materials. AI plays several roles here:<\/p>\n\n\n\n

– Material optimization:<\/strong> Algorithms propose structures that meet protection requirements with less paper or board, often by re\u2011engineering void space and internal supports. [linkedin<\/a>]<\/p>\n\n\n\n

– Material discovery:<\/strong> Major FMCG companies have started using generative AI to identify novel barrier materials<\/strong> and coatings that maintain shelf life while improving recyclability. [nestle<\/a>]<\/p>\n\n\n\n

– Recycling operations:<\/strong> AI\u2011powered sorting robots use optical sensors and trained models<\/strong> to recognize and separate packaging types more accurately, even when shapes or print vary. [towardspackaging<\/a>]<\/p>\n\n\n\n

Looking ahead, smart packaging that embeds RFID tags or sensors<\/strong> could provide recycling facilities with real\u2011time information about fiber type, barrier layers, or coatings, enabling more precise closed\u2011loop systems<\/strong> for paper\u2011based packaging. [pakfactory<\/a>]<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

<\/a>What Brand Owners Should Do Before Asking AI for “Cool Designs”<\/strong><\/h2>\n\n\n\n

A common mistake I see is brands jumping straight into AI artwork without aligning on fundamentals. Before you plug a prompt into a generative tool, clarify:<\/p>\n\n\n\n

1. Business objective<\/strong> \u2013 Retail impact, subscription retention, gifting experience, damage reduction, or cost savings. [linkedin<\/a>]<\/p>\n\n\n\n

2. Constraints<\/strong> \u2013 Preferred board grades, target unit cost, shipping method, and retailer guidelines. [towardspackaging<\/a>]<\/p>\n\n\n\n

3. Measurable KPIs<\/strong> \u2013 Uplift in CTR on PDP images, return\u2011damage rate, shelf pickup rate, or social sharing of unboxing. [hotcustomboxes<\/a>]<\/p>\n\n\n\n

Once those are defined, AI becomes a powerful co\u2011pilot<\/strong>\u2014helping generate structural options, colorways, and messaging variants that can be rigorously tested rather than subjectively debated. [hotcustomboxes<\/a>]<\/p>\n\n\n\n

<\/a>A Simple, Practical AI Workflow for Custom Paper Packaging<\/strong><\/h2>\n\n\n\n

From an operational standpoint, here is a step\u2011by\u2011step workflow<\/strong> brands can apply with a manufacturer like Bonito Packaging:<\/p>\n\n\n\n

1. Discovery & data collection<\/strong><\/p>\n\n\n\n

– Share product specs, shipping method, sustainability goals, and budget. [pakfactory<\/a>]<\/p>\n\n\n\n

– Use an AI assistant to structure and standardize this brief. [imperialpaper<\/a>]<\/p>\n\n\n\n

2. AI\u2011assisted ideation<\/strong><\/p>\n\n\n\n

– Generate multiple artwork directions using a gen\u2011AI tool aligned with your brand guidelines. [thecustomboxes<\/a>]<\/p>\n\n\n\n

– Have structural AI tools propose dielines and insert options for your SKU dimensions. [imperialpaper<\/a>]<\/p>\n\n\n\n

3. Virtual testing and refinement<\/strong><\/p>\n\n\n\n

– Run simulations for drop, compression, and stacking if the product is fragile or heavy. [imperialpaper<\/a>]<\/p>\n\n\n\n

– Use VR or 3D shelf views to evaluate retail presence with your team. [packagingblog<\/a>]<\/p>\n\n\n\n

4. Costing and procurement<\/strong><\/p>\n\n\n\n

– Let AI\u2011driven quoting tools estimate material and production costs across different quantities and finishes. [pmmi<\/a>]<\/p>\n\n\n\n

– Select the best balance of performance, aesthetics, and price with human guidance. [mckinsey<\/a>]<\/p>\n\n\n\n

5. Production & QC<\/strong><\/p>\n\n\n\n

– Rely on factories running AI\u2011driven color control, inspection, and predictive maintenance for consistent output. [pmmi<\/a>]<\/p>\n\n\n\n

6. Post\u2011launch optimization<\/strong><\/p>\n\n\n\n

– Feed sales, returns, and customer review data back into your AI stack to refine designs for the next run. [linkedin<\/a>]<\/p>\n\n\n\n

This is where experienced manufacturers add real value<\/strong>\u2014they can integrate your AI\u2011inspired concepts with practical limits of substrates, machinery, and certification requirements. [mckinsey<\/a>]<\/p>\n\n\n\n

<\/a>Real\u2011World Examples of AI in Packaging<\/strong><\/h2>\n\n\n\n

Several global companies illustrate what’s now possible:<\/p>\n\n\n\n

– Nestl\u00e9 + IBM:<\/strong> Developed a generative AI tool<\/strong> to discover new high\u2011barrier packaging materials that balance shelf life, recyclability, and cost, illustrating how AI supports material innovation for paper\u2011based and flexible formats. [nestle<\/a>]<\/p>\n\n\n\n

– Large paper manufacturers:<\/strong> Some use gen\u2011AI\u2011based order management to automate quoting and order processing<\/strong>, freeing teams to focus on custom engineering and service. [mckinsey<\/a>]<\/p>\n\n\n\n

– Beverage and CPG brands:<\/strong> Increasingly adopt AI for label personalization and interactive packaging<\/strong>, letting consumers co\u2011create visual elements while AI handles compliance and print constraints. [hotcustomboxes<\/a>]<\/p>\n\n\n\n

These examples point to an important lesson: the brands that benefit most from AI tend to partner early with technically capable converters<\/strong>, rather than treating AI as a standalone marketing tool. [mckinsey<\/a>]<\/p>\n\n\n\n

<\/a>Risks, Limitations, and Ethical Questions You Can’t Ignore<\/strong><\/h2>\n\n\n\n

No serious discussion of AI in packaging is complete without addressing its downsides:<\/p>\n\n\n\n

– Data privacy and IP:<\/strong> Feeding confidential formulas, unannounced product specs, or customer data into third\u2011party AI tools raises privacy and intellectual property<\/strong> concerns. [pakfactory<\/a>]<\/p>\n\n\n\n

– Bias and opaque decision\u2011making:<\/strong> When AI suggests a supplier, material, or design variant, you still need governance around who is accountable<\/strong> for the outcome. [linkedin<\/a>]<\/p>\n\n\n\n

– Copyright questions:<\/strong> Generative models trained on branded visuals can produce outputs that resemble existing styles, creating legal ambiguity<\/strong> around originality. [thecustomboxes<\/a>]<\/p>\n\n\n\n

– Workforce displacement:<\/strong> While AI can automate repetitive tasks, responsible companies actively reskill press operators, estimators, and designers so they move into higher\u2011value roles<\/strong> rather than being sidelined. [pmmi<\/a>]<\/p>\n\n\n\n

Treat AI as augmentation, not replacement<\/strong>: the strongest results come from combining algorithms with human craftsmanship, color expertise, and decades of production know\u2011how. [mckinsey<\/a>]<\/p>\n\n\n\n

<\/a>Where Bonito\u2011Type Manufacturers Fit in an AI\u2011Driven Future<\/strong><\/h2>\n\n\n\n

For high\u2011end custom paper packaging, the real opportunity lies in pairing AI\u2011powered workflows<\/strong> with source\u2011factory capabilities<\/strong>\u2014from substrate selection to post\u2011press embellishments. A partner that understands both AI tools and physical converting can: [towardspackaging<\/a>]<\/p>\n\n\n\n

– Translate AI\u2011generated concepts into production\u2011ready dielines and print specs<\/strong>. [imperialpaper<\/a>]<\/p>\n\n\n\n

– Recommend optimized board grades and coatings based on performance simulations and sustainability targets. [towardspackaging<\/a>]<\/p>\n\n\n\n

– Run short, test\u2011and\u2011learn batches<\/strong> using AI\u2011optimized setups, then scale winning designs confidently. [pmmi<\/a>]<\/p>\n\n\n\n

For brands, this means shorter development cycles, more visually differentiated packaging<\/strong>, and a clearer path to meeting retailer and regulatory expectations on sustainability. [linkedin<\/a>]<\/p>\n\n\n\n

<\/a>FAQs<\/strong><\/h2>\n\n\n\n

<\/a>1. How is AI actually used in custom packaging today?<\/strong><\/h3>\n\n\n\n

AI is currently used for design generation, structural optimization, quoting, predictive maintenance, quality inspection, and logistics planning<\/strong> across the packaging value chain. [towardspackaging<\/a>]<\/p>\n\n\n\n

<\/a>2. Can AI really make my packaging more sustainable?<\/strong><\/h3>\n\n\n\n

Yes\u2014AI helps minimize material usage, recommend lower\u2011impact substrates, discover novel barrier materials, and improve recycling efficiency through smarter sorting and better design for recyclability. [nestle<\/a>]<\/p>\n\n\n\n

<\/a>3. Will AI replace human packaging designers and engineers?<\/strong><\/h3>\n\n\n\n

AI is best viewed as a co\u2011designer<\/strong> that accelerates ideation and simulation while humans still lead on brand interpretation, storytelling, and critical engineering trade\u2011offs. [linkedin<\/a>]<\/p>\n\n\n\n

<\/a>4. Is AI\u2011driven packaging only for big global brands?<\/strong><\/h3>\n\n\n\n

No\u2014cloud tools and factory\u2011integrated solutions make AI accessible even to small and mid\u2011sized brands, especially when they work with manufacturers that have already invested in these capabilities. [hotcustomboxes<\/a>]<\/p>\n\n\n\n

<\/a>5. How do I start using AI for my next packaging project?<\/strong><\/h3>\n\n\n\n

Begin by clarifying objectives and constraints, then work with a packaging partner that can combine AI\u2011assisted design, virtual testing, and AI\u2011enhanced production to guide your project end\u2011to\u2011end. [towardspackaging<\/a>]<\/p>\n\n\n\n

<\/a>References<\/strong><\/h2>\n\n\n\n

1. Pakfactory \u2013 *How AI is Revolutionizing Custom Packaging*<\/p>\n\n\n\n

https:\/\/pakfactory.com\/blog\/ai-revolution-in-custom-packaging\/ [pakfactory<\/a>]<\/p>\n\n\n\n

2. PMMI \u2013 *AI, Automation, and Sustainability Lead Packaging and Processing Trends*<\/p>\n\n\n\n

https:\/\/www.pmmi.org\/news\/ai-automation-and-sustainability-lead-packaging-and-processing-trends [pmmi<\/a>]<\/p>\n\n\n\n

3. Packaging industry trends 2026 \u2013 *Trends Driving the Packaging Industry in 2026*<\/p>\n\n\n\n

https:\/\/blog.bradyplus.com\/whats-hot-trends-driving-the-packaging-industry-in-2026 [blog.bradyplus<\/a>]<\/p>\n\n\n\n

4. Nestl\u00e9 & IBM \u2013 *AI\u2011Powered Sustainable Packaging Innovations*<\/p>\n\n\n\n

https:\/\/www.nestle.com\/about\/research-development\/news\/ibm-ai-powered-sustainable-packaging [nestle<\/a>]<\/p>\n\n\n\n

5. Towards Packaging \u2013 *AI in Sustainable Packaging Market Size and Insights*<\/p>\n\n\n\n

https:\/\/www.towardspackaging.com\/insights\/ai-in-sustainable-packaging-market-sizing [towardspackaging<\/a>]<\/p>\n\n\n\n

6. Hot Custom Boxes \u2013 *Trends in Custom Packaging Design for 2026*<\/p>\n\n\n\n

https:\/\/hotcustomboxes.com\/blog\/trends-in-custom-packaging-design\/ [hotcustomboxes<\/a>]<\/p>\n\n\n\n

7. Imperial Paper \u2013 *The Role of AI in Designing Custom Packaging Solutions*<\/p>\n\n\n\n

https:\/\/imperialpaper.com\/blog\/the-role-of-ai-in-designing-custom-packaging-solutions\/ [imperialpaper<\/a>]<\/p>\n\n\n\n

8. The Custom Boxes \u2013 *How Generative AI Changed the Future of Custom Packaging*<\/p>\n\n\n\n

https:\/\/www.thecustomboxes.com\/blog\/ai-changed-the-future-of-custom-packaging\/ [thecustomboxes<\/a>]<\/p>\n\n\n\n

9. PackagingBlog \u2013 *Top 5 Packaging Innovations Shaping 2026: AI, Sustainability, and Interactive Design*<\/p>\n\n\n\n

https:\/\/packagingblog.org\/2026\/01\/29\/top-5-packaging-innovations-shaping-2026-ai-sustainability-and-interactive-design\/ [packagingblog<\/a>]<\/p>\n\n\n\n

10. McKinsey \u2013 *Generative AI: The Packaging and Paper Industry’s Next Frontier*<\/p>\n\n\n\n

https:\/\/www.mckinsey.com\/industries\/packaging-and-paper\/our-insights\/generative-ai-the-packaging-and-paper-industrys-next-frontier [mckinsey<\/a>]<\/p>\n\n\n\n

Hot Tags:<\/strong> Evaluate Pacdora on Streamlined Packaging Processes, Manufacturers, Customized, Custom, Suppliers, Buy, Cheap, Quality, Advanced, Durable, in Stock, Made in China, Price, Quotation, Free Sample<\/p>\n","protected":false},"excerpt":{"rendered":"

AI is transforming custom paper packaging from design to delivery. Discover how generative tools, virtual prototyping, smart factories, and sustainable materials work together\u2014and why partnering with an AI\u2011ready manufacturer now is critical for your brand. <\/p>","protected":false},"author":2,"featured_media":7443,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"none","_seopress_titles_title":"How AI Is Rewriting the Rules of Custom Packaging","_seopress_titles_desc":"AI is transforming custom paper packaging from design to delivery. Discover how generative tools, virtual prototyping, smart factories, and sustainable materials work together\u2014and why partnering with an AI\u2011ready manufacturer now is critical for your brand.","_seopress_robots_index":"","footnotes":""},"categories":[40],"tags":[],"class_list":["post-7440","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-packaging"],"acf":[],"_links":{"self":[{"href":"https:\/\/bonitopack.com\/fr\/wp-json\/wp\/v2\/posts\/7440","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bonitopack.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bonitopack.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bonitopack.com\/fr\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bonitopack.com\/fr\/wp-json\/wp\/v2\/comments?post=7440"}],"version-history":[{"count":1,"href":"https:\/\/bonitopack.com\/fr\/wp-json\/wp\/v2\/posts\/7440\/revisions"}],"predecessor-version":[{"id":7448,"href":"https:\/\/bonitopack.com\/fr\/wp-json\/wp\/v2\/posts\/7440\/revisions\/7448"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bonitopack.com\/fr\/wp-json\/wp\/v2\/media\/7443"}],"wp:attachment":[{"href":"https:\/\/bonitopack.com\/fr\/wp-json\/wp\/v2\/media?parent=7440"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bonitopack.com\/fr\/wp-json\/wp\/v2\/categories?post=7440"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bonitopack.com\/fr\/wp-json\/wp\/v2\/tags?post=7440"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}