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2023 E-Commerce Predictions

Since IT Ops and application performance are an important part of e-commerce, APMdigest is following up our list of 2023 Application Performance Management Predictions with predictions from industry experts about how e-commerce will evolve in 2023.

E-COMMERCE LOOKS TO OBSERVABILITY

As e-commerce platforms grow in popularity, it's critical that they stay one step ahead of IT issues before they arise. With so many brands reliant on their service, technical errors could be fatal. Implementing a unified observability solution is one way to gain a comprehensive overview of operations and see how they're running from end to end. Any issues are immediately flagged so IT teams can tackle problems at the source, before they can impact sales.
Ryan Worobel
CIO, LogicMonitor

OPTIMIZING SITE PERFORMANCE

In the post-pandemic global economy, e-commerce has increasingly become an important element of business strategy and a solid catalyst for economic development for many business sectors. A good deal now means ease of shopping, different payment methods, easier ways to checkout, track your orders, and most importantly — site performance. Site performance directly influences your conversion rates and search engine rankings. As per statistics, for every second beyond three seconds, customers must wait for a page to load, leading to an overall loss in repeat customers. A study by Amazon indicated that a page speed slowdown of just one second could cost them $1.6 billion in sales each year. Site performance can be optimized and depends on multiple factors like how well your e-commerce application is overall architected, caching, use of CDN, and foremost, how scalable and robust your infrastructure is.
Seema Nair
Director, Application Development, Synoptek

OPEN DATA PLATFORMS

Alongside other digital experiences, e-commerce has migrated to a headless management approach. This decoupling is crucial to building innovative shopping experiences that can be more swiftly adapted based on adapting business requirements. However, robust e-commerce applications require a number of disparate domain-specific systems behind the scenes to power them — each adding in bottlenecks, latency, and maintenance at their points of integration. In the coming year, we will see more organizations turning to open data platforms so they can seamlessly manage products, orders, inventory, allocation, in-store kiosks, brick-and-mortar point-of-sale, analytics, automation workflows, and more in one unified portal. APIs, automation, and alerting can integrate into any required services, and keystone software and organizations can reduce complexity, software licenses, and gaps in capabilities with flexible platforms that can grow alongside the business.
Ben Haynes
Co-Founder and CEO, Directus

DATA TRANSPARENCY AND PLANNING TECHNOLOGY

The supply chain experienced an accelerated digital transformation during the past few years. In 2023, organizations will be able to better anticipate their inventories and shipments with AI. e-commerce and supply chain managers will focus on operational efficiency for scenario planning, process mining and will utilize digital twins more often. When it comes to application performance within e-commerce platforms, data transparency and planning technologies will be key in managing the ebb and flow of supply chains and consumer interest.
Eric Tan
CIO, Coupa

HEADLESS COMPOSABLE E-COMMERCE PLATFORMS

Data and personalization are revenue drivers for e-commerce companies. The old monolithic approach used for developing websites uses a standard template that lacks the ability to personalize content and add new features to sites. In 2023, we will see companies empowering their teams to use headless, composable commerce platforms to combine personalized content and commerce together to enhance user experience. DXPs will be composed by enterprises with best in class components rather than bought as monolithic solutions.
Chris Bach
Co-Founder and Chief Strategy and Creative Officer, Netlify

CONVERSATIONAL COMMERCE

Conversational Commerce Grows: More e-commerce engagement and transactions will be facilitated through the likes of chatbots, AR/VR, and similar interactive tools. This will not only improve experiences through intelligent guidance for example, but it will also reduce the effort shoppers have to extend when finding and picking correct products.
Sanjay Mehta
Head of Industry and Commerce, Lucidworks

ANONYMOUS PERSONALIZATION

Move to Anonymous Personalization: The enablement of privacy regulations such as CCPA and GDPR will move the focus of personalization away from using explicit consumer data to more predicted approaches such as neural- and vector-based approaches. These approaches leverage anonymous data points such as context and behavior to form hyper relevant experiences.
Sanjay Mehta
Head of Industry and Commerce, Lucidworks

Hot Topics

The Latest

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

2023 E-Commerce Predictions

Since IT Ops and application performance are an important part of e-commerce, APMdigest is following up our list of 2023 Application Performance Management Predictions with predictions from industry experts about how e-commerce will evolve in 2023.

E-COMMERCE LOOKS TO OBSERVABILITY

As e-commerce platforms grow in popularity, it's critical that they stay one step ahead of IT issues before they arise. With so many brands reliant on their service, technical errors could be fatal. Implementing a unified observability solution is one way to gain a comprehensive overview of operations and see how they're running from end to end. Any issues are immediately flagged so IT teams can tackle problems at the source, before they can impact sales.
Ryan Worobel
CIO, LogicMonitor

OPTIMIZING SITE PERFORMANCE

In the post-pandemic global economy, e-commerce has increasingly become an important element of business strategy and a solid catalyst for economic development for many business sectors. A good deal now means ease of shopping, different payment methods, easier ways to checkout, track your orders, and most importantly — site performance. Site performance directly influences your conversion rates and search engine rankings. As per statistics, for every second beyond three seconds, customers must wait for a page to load, leading to an overall loss in repeat customers. A study by Amazon indicated that a page speed slowdown of just one second could cost them $1.6 billion in sales each year. Site performance can be optimized and depends on multiple factors like how well your e-commerce application is overall architected, caching, use of CDN, and foremost, how scalable and robust your infrastructure is.
Seema Nair
Director, Application Development, Synoptek

OPEN DATA PLATFORMS

Alongside other digital experiences, e-commerce has migrated to a headless management approach. This decoupling is crucial to building innovative shopping experiences that can be more swiftly adapted based on adapting business requirements. However, robust e-commerce applications require a number of disparate domain-specific systems behind the scenes to power them — each adding in bottlenecks, latency, and maintenance at their points of integration. In the coming year, we will see more organizations turning to open data platforms so they can seamlessly manage products, orders, inventory, allocation, in-store kiosks, brick-and-mortar point-of-sale, analytics, automation workflows, and more in one unified portal. APIs, automation, and alerting can integrate into any required services, and keystone software and organizations can reduce complexity, software licenses, and gaps in capabilities with flexible platforms that can grow alongside the business.
Ben Haynes
Co-Founder and CEO, Directus

DATA TRANSPARENCY AND PLANNING TECHNOLOGY

The supply chain experienced an accelerated digital transformation during the past few years. In 2023, organizations will be able to better anticipate their inventories and shipments with AI. e-commerce and supply chain managers will focus on operational efficiency for scenario planning, process mining and will utilize digital twins more often. When it comes to application performance within e-commerce platforms, data transparency and planning technologies will be key in managing the ebb and flow of supply chains and consumer interest.
Eric Tan
CIO, Coupa

HEADLESS COMPOSABLE E-COMMERCE PLATFORMS

Data and personalization are revenue drivers for e-commerce companies. The old monolithic approach used for developing websites uses a standard template that lacks the ability to personalize content and add new features to sites. In 2023, we will see companies empowering their teams to use headless, composable commerce platforms to combine personalized content and commerce together to enhance user experience. DXPs will be composed by enterprises with best in class components rather than bought as monolithic solutions.
Chris Bach
Co-Founder and Chief Strategy and Creative Officer, Netlify

CONVERSATIONAL COMMERCE

Conversational Commerce Grows: More e-commerce engagement and transactions will be facilitated through the likes of chatbots, AR/VR, and similar interactive tools. This will not only improve experiences through intelligent guidance for example, but it will also reduce the effort shoppers have to extend when finding and picking correct products.
Sanjay Mehta
Head of Industry and Commerce, Lucidworks

ANONYMOUS PERSONALIZATION

Move to Anonymous Personalization: The enablement of privacy regulations such as CCPA and GDPR will move the focus of personalization away from using explicit consumer data to more predicted approaches such as neural- and vector-based approaches. These approaches leverage anonymous data points such as context and behavior to form hyper relevant experiences.
Sanjay Mehta
Head of Industry and Commerce, Lucidworks

Hot Topics

The Latest

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...