The latest articles on DEV Community by aidanbutler (@aidanbutler). https://dev.to/aidanbutler https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3684031%2F21670440-79a2-471f-88c7-c27f1d96f840.png https://dev.to/aidanbutler en aidanbutler Fri, 03 Apr 2026 12:10:31 +0000 https://dev.to/aidanbutler/decrease-cart-abandonment-with-ai-agents-at-scale-557n https://dev.to/aidanbutler/decrease-cart-abandonment-with-ai-agents-at-scale-557n <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5qcwwplji362fdpi4zbb.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5qcwwplji362fdpi4zbb.jpg" alt=" " width="800" height="383"></a></p> <p>Cart abandonment is one of the biggest challenges for ecommerce businesses today. Products added to the cart are dropped off at the last moment. Reasons may vary, from price hesitation to doubts about product details, or anything else. However, at scale, even a small amount of cart abandonment can result in a significant revenue loss. </p> <p>Conventional methods like notifications and discounts can help temporarily, but understanding the actual reason behind this is important to address the abandonment. Timeliness, personalization, and proactive engagement are quite helpful; still, enterprises can’t execute without overbearing operational costs and headcount with live agents. </p> <p>AI Agents step in here to perform these duties without raising the costs. Not only are they available round-the-clock for assistance, but they also recommend products based on users’ interests and preferences, and engage proactively with them. </p> <p>In this blog, we will explore how enterprises can utilize <a href="https://exei.ai/" rel="noopener noreferrer">AI agents</a> to reduce cart abandonment. We will provide a brief overview of the reasons for cart abandonment and discuss the role of AI agents in abandoned cart recovery.</p> <p><a href="https://exei.ai/blog/ai-agent-for-abandoned-cart-recovery-in-ecommerce/" rel="noopener noreferrer">Read full blog...</a></p> productivity ai technology software aidanbutler Fri, 03 Apr 2026 12:10:26 +0000 https://dev.to/aidanbutler/reduce-cart-abandonment-with-ai-agents-at-scale-15mo https://dev.to/aidanbutler/reduce-cart-abandonment-with-ai-agents-at-scale-15mo <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5qcwwplji362fdpi4zbb.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5qcwwplji362fdpi4zbb.jpg" alt=" " width="800" height="383"></a></p> <p>Cart abandonment is one of the biggest challenges for ecommerce businesses today. Products added to the cart are dropped off at the last moment. Reasons may vary, from price hesitation to doubts about product details, or anything else. However, at scale, even a small amount of cart abandonment can result in a significant revenue loss. </p> <p>Conventional methods like notifications and discounts can help temporarily, but understanding the actual reason behind this is important to address the abandonment. Timeliness, personalization, and proactive engagement are quite helpful; still, enterprises can’t execute without overbearing operational costs and headcount with live agents. </p> <p>AI Agents step in here to perform these duties without raising the costs. Not only are they available round-the-clock for assistance, but they also recommend products based on users’ interests and preferences, and engage proactively with them. </p> <p>In this blog, we will explore how enterprises can utilize <a href="https://exei.ai/" rel="noopener noreferrer">AI agents</a> to reduce cart abandonment. We will provide a brief overview of the reasons for cart abandonment and discuss the role of AI agents in abandoned cart recovery.</p> <p><a href="https://exei.ai/blog/ai-agent-for-abandoned-cart-recovery-in-ecommerce/" rel="noopener noreferrer">Read full blog...</a></p> ai iot software technology aidanbutler Fri, 03 Apr 2026 12:10:23 +0000 https://dev.to/aidanbutler/lower-cart-abandonment-with-ai-agents-at-scale-41pe https://dev.to/aidanbutler/lower-cart-abandonment-with-ai-agents-at-scale-41pe <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5qcwwplji362fdpi4zbb.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5qcwwplji362fdpi4zbb.jpg" alt=" " width="800" height="383"></a></p> <p>Cart abandonment is one of the biggest challenges for ecommerce businesses today. Products added to the cart are dropped off at the last moment. Reasons may vary, from price hesitation to doubts about product details, or anything else. However, at scale, even a small amount of cart abandonment can result in a significant revenue loss. </p> <p>Conventional methods like notifications and discounts can help temporarily, but understanding the actual reason behind this is important to address the abandonment. Timeliness, personalization, and proactive engagement are quite helpful; still, enterprises can’t execute without overbearing operational costs and headcount with live agents. </p> <p>AI Agents step in here to perform these duties without raising the costs. Not only are they available round-the-clock for assistance, but they also recommend products based on users’ interests and preferences, and engage proactively with them. </p> <p>In this blog, we will explore how enterprises can utilize <a href="https://exei.ai/" rel="noopener noreferrer">AI agents</a> to reduce cart abandonment. We will provide a brief overview of the reasons for cart abandonment and discuss the role of AI agents in abandoned cart recovery.</p> <p><a href="https://exei.ai/blog/ai-agent-for-abandoned-cart-recovery-in-ecommerce/" rel="noopener noreferrer">Read full blog...</a></p> ai productivity agents technology aidanbutler Fri, 03 Apr 2026 11:46:13 +0000 https://dev.to/aidanbutler/applying-opentelemetry-in-frontend-monitoring-1d63 https://dev.to/aidanbutler/applying-opentelemetry-in-frontend-monitoring-1d63 <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fy1h78tuyt5mflzohrc7v.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fy1h78tuyt5mflzohrc7v.jpg" alt=" " width="800" height="383"></a></p> <p>Frontend performance today goes far beyond page load time. In modern Next.js applications, user experience depends on multiple asynchronous API calls, dynamic rendering, and real-time interactions. This makes traditional error logging and synthetic checks insufficient.</p> <p>This is where OpenTelemetry becomes essential.</p> <p>OpenTelemetry enables end-to-end tracing from the browser to backend services, giving teams clear visibility into latency, failures, and performance bottlenecks from the user’s perspective.</p> <p>Modern web applications require sophisticated OpenTelemetry monitoring to understand user experiences across complex frontend architectures. This guide walks through a production-ready OpenTelemetry frontend implementation for Next.js applications, breaking down each component with detailed explanations.</p> <p><a href="https://exei.ai/blog/implementing-opentelemetry-for-frontend-monitoring/" rel="noopener noreferrer">Read full blog...</a></p> ai productivity devops machinelearning aidanbutler Fri, 03 Apr 2026 11:46:11 +0000 https://dev.to/aidanbutler/implementing-opentelemetry-for-frontend-monitoring-393i https://dev.to/aidanbutler/implementing-opentelemetry-for-frontend-monitoring-393i <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fy1h78tuyt5mflzohrc7v.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fy1h78tuyt5mflzohrc7v.jpg" alt=" " width="800" height="383"></a></p> <p>Frontend performance today goes far beyond page load time. In modern Next.js applications, user experience depends on multiple asynchronous API calls, dynamic rendering, and real-time interactions. This makes traditional error logging and synthetic checks insufficient.</p> <p>This is where OpenTelemetry becomes essential.</p> <p>OpenTelemetry enables end-to-end tracing from the browser to backend services, giving teams clear visibility into latency, failures, and performance bottlenecks from the user’s perspective.</p> <p>Modern web applications require sophisticated OpenTelemetry monitoring to understand user experiences across complex frontend architectures. This guide walks through a production-ready OpenTelemetry frontend implementation for Next.js applications, breaking down each component with detailed explanations.</p> <p><a href="https://exei.ai/blog/implementing-opentelemetry-for-frontend-monitoring/" rel="noopener noreferrer">Read full blog...</a></p> ai productivity agents technology aidanbutler Fri, 03 Apr 2026 11:46:09 +0000 https://dev.to/aidanbutler/leveraging-opentelemetry-for-frontend-monitoring-2fjc https://dev.to/aidanbutler/leveraging-opentelemetry-for-frontend-monitoring-2fjc <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fy1h78tuyt5mflzohrc7v.jpg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fy1h78tuyt5mflzohrc7v.jpg" alt=" " width="800" height="383"></a></p> <p>Frontend performance today goes far beyond page load time. In modern Next.js applications, user experience depends on multiple asynchronous API calls, dynamic rendering, and real-time interactions. This makes traditional error logging and synthetic checks insufficient.</p> <p>This is where OpenTelemetry becomes essential.</p> <p>OpenTelemetry enables end-to-end tracing from the browser to backend services, giving teams clear visibility into latency, failures, and performance bottlenecks from the user’s perspective.</p> <p>Modern web applications require sophisticated OpenTelemetry monitoring to understand user experiences across complex frontend architectures. This guide walks through a production-ready OpenTelemetry frontend implementation for Next.js applications, breaking down each component with detailed explanations.</p> <p><a href="https://exei.ai/blog/implementing-opentelemetry-for-frontend-monitoring/" rel="noopener noreferrer">Read full blog...</a></p> productivity ai technology software aidanbutler Thu, 02 Apr 2026 10:33:14 +0000 https://dev.to/aidanbutler/ai-powered-product-recommendation-how-ai-agents-guide-customer-decisions-48cd https://dev.to/aidanbutler/ai-powered-product-recommendation-how-ai-agents-guide-customer-decisions-48cd <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fc9elzxabgktkn7yny2nf.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fc9elzxabgktkn7yny2nf.png" alt=" " width="800" height="999"></a></p> <p>People now use digital commerce for product discovery and purchasing. Customers used to spend time examining extensive product catalogs while they compared different choices and analyzed multiple product reviews before they reached their final decision. Intelligent systems currently handle most of the work that previously required people to complete.</p> <p><a href="https://exei.ai/" rel="noopener noreferrer">AI systems</a> increasingly assist customers in finding suitable products at appropriate times. The systems track customer activities to identify their preferences while offering customized product recommendations that meet their requirements. Customers receive limited product choices that meet their needs instead of needing to examine hundreds of items.</p> <p>Businesses undergo this transformation because customer demands have evolved. Customers want brands to recognize their individual preferences while delivering customized experiences. McKinsey reports that businesses that achieve high levels of personalization will earn 40 percent extra revenue from those activities compared to standard companies. This demonstrates the strength of relevant recommendations that achieve outstanding results.</p> <p>AI-powered product recommendation is, therefore, not just a technology upgrade. It has become a key part of how modern businesses help customers make better purchasing decisions.</p> <p><a href="https://exei.ai/blog/ai-powered-product-recommendation-how-ai-agents-guide-buyer/" rel="noopener noreferrer">Read full blog...</a></p> ai productivity software technology aidanbutler Thu, 02 Apr 2026 10:33:11 +0000 https://dev.to/aidanbutler/ai-powered-product-recommendation-how-ai-agents-guide-customer-decisions-206 https://dev.to/aidanbutler/ai-powered-product-recommendation-how-ai-agents-guide-customer-decisions-206 <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fc9elzxabgktkn7yny2nf.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fc9elzxabgktkn7yny2nf.png" alt=" " width="800" height="999"></a></p> <p>People now use digital commerce for product discovery and purchasing. Customers used to spend time examining extensive product catalogs while they compared different choices and analyzed multiple product reviews before they reached their final decision. Intelligent systems currently handle most of the work that previously required people to complete.</p> <p><a href="https://exei.ai/" rel="noopener noreferrer">AI systems</a> increasingly assist customers in finding suitable products at appropriate times. The systems track customer activities to identify their preferences while offering customized product recommendations that meet their requirements. Customers receive limited product choices that meet their needs instead of needing to examine hundreds of items.</p> <p>Businesses undergo this transformation because customer demands have evolved. Customers want brands to recognize their individual preferences while delivering customized experiences. McKinsey reports that businesses that achieve high levels of personalization will earn 40 percent extra revenue from those activities compared to standard companies. This demonstrates the strength of relevant recommendations that achieve outstanding results.</p> <p>AI-powered product recommendation is, therefore, not just a technology upgrade. It has become a key part of how modern businesses help customers make better purchasing decisions.</p> <p><a href="https://exei.ai/blog/ai-powered-product-recommendation-how-ai-agents-guide-buyer/" rel="noopener noreferrer">Read full blog...</a></p> ai productivity agents software aidanbutler Thu, 02 Apr 2026 10:33:09 +0000 https://dev.to/aidanbutler/ai-powered-product-recommendation-how-ai-agents-guide-customer-decisions-nek https://dev.to/aidanbutler/ai-powered-product-recommendation-how-ai-agents-guide-customer-decisions-nek <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fc9elzxabgktkn7yny2nf.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fc9elzxabgktkn7yny2nf.png" alt=" " width="800" height="999"></a></p> <p>People now use digital commerce for product discovery and purchasing. Customers used to spend time examining extensive product catalogs while they compared different choices and analyzed multiple product reviews before they reached their final decision. Intelligent systems currently handle most of the work that previously required people to complete.</p> <p><a href="https://exei.ai/" rel="noopener noreferrer">AI systems</a> increasingly assist customers in finding suitable products at appropriate times. The systems track customer activities to identify their preferences while offering customized product recommendations that meet their requirements. Customers receive limited product choices that meet their needs instead of needing to examine hundreds of items.</p> <p>Businesses undergo this transformation because customer demands have evolved. Customers want brands to recognize their individual preferences while delivering customized experiences. McKinsey reports that businesses that achieve high levels of personalization will earn 40 percent extra revenue from those activities compared to standard companies. This demonstrates the strength of relevant recommendations that achieve outstanding results.</p> <p>AI-powered product recommendation is, therefore, not just a technology upgrade. It has become a key part of how modern businesses help customers make better purchasing decisions.</p> <p><a href="https://exei.ai/blog/ai-powered-product-recommendation-how-ai-agents-guide-buyer/" rel="noopener noreferrer">Read full blog...</a></p> ai productivity software technology aidanbutler Thu, 02 Apr 2026 10:00:14 +0000 https://dev.to/aidanbutler/voice-ai-agent-vs-ivr-why-conversational-ai-is-the-future-of-customer-support-1j5n https://dev.to/aidanbutler/voice-ai-agent-vs-ivr-why-conversational-ai-is-the-future-of-customer-support-1j5n <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F65bhbctfqnnvsa1ub0by.jpeg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F65bhbctfqnnvsa1ub0by.jpeg" alt=" " width="800" height="450"></a></p> <p>Customer support is a key driver of customer experience, loyalty and brand perception. Today’s customers expect fast, human-like conversations, not rigid menus or long hold times. As expectations rise, businesses are rethinking how they engage customers over voice channels.</p> <p>This shift has brought a critical comparison into focus: Voice <a href="https://exei.ai/blog/voice-ai-agent-vs-ivr/" rel="noopener noreferrer">AI Agent</a> vs IVR. While IVR systems have served businesses for decades, conversational Voice AI is redefining what modern customer support looks like.</p> <p><a href="https://exei.ai/blog/voice-ai-agent-vs-ivr/" rel="noopener noreferrer">Read full blog...</a></p> software productivity ai iot aidanbutler Thu, 02 Apr 2026 10:00:09 +0000 https://dev.to/aidanbutler/voice-ai-agent-vs-ivr-why-conversational-ai-is-the-future-of-customer-support-2l3 https://dev.to/aidanbutler/voice-ai-agent-vs-ivr-why-conversational-ai-is-the-future-of-customer-support-2l3 <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F65bhbctfqnnvsa1ub0by.jpeg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F65bhbctfqnnvsa1ub0by.jpeg" alt=" " width="800" height="450"></a></p> <p>Customer support is a key driver of customer experience, loyalty and brand perception. Today’s customers expect fast, human-like conversations, not rigid menus or long hold times. As expectations rise, businesses are rethinking how they engage customers over voice channels.</p> <p>This shift has brought a critical comparison into focus: Voice <a href="https://exei.ai/blog/voice-ai-agent-vs-ivr/" rel="noopener noreferrer">AI Agent</a> vs IVR. While IVR systems have served businesses for decades, conversational Voice AI is redefining what modern customer support looks like.</p> <p><a href="https://exei.ai/blog/voice-ai-agent-vs-ivr/" rel="noopener noreferrer">Read full blog...</a></p> productivity devops technology software aidanbutler Thu, 02 Apr 2026 10:00:05 +0000 https://dev.to/aidanbutler/voice-ai-agent-vs-ivr-why-conversational-ai-is-the-future-of-customer-support-51mj https://dev.to/aidanbutler/voice-ai-agent-vs-ivr-why-conversational-ai-is-the-future-of-customer-support-51mj <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F65bhbctfqnnvsa1ub0by.jpeg" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F65bhbctfqnnvsa1ub0by.jpeg" alt=" " width="800" height="450"></a></p> <p>Customer support is a key driver of customer experience, loyalty and brand perception. Today’s customers expect fast, human-like conversations, not rigid menus or long hold times. As expectations rise, businesses are rethinking how they engage customers over voice channels.</p> <p>This shift has brought a critical comparison into focus: Voice <a href="https://exei.ai/blog/voice-ai-agent-vs-ivr/" rel="noopener noreferrer">AI Agent</a> vs IVR. While IVR systems have served businesses for decades, conversational Voice AI is redefining what modern customer support looks like.</p> <p><a href="https://exei.ai/blog/voice-ai-agent-vs-ivr/" rel="noopener noreferrer">Read full blog...</a></p> ai software technology