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Mobile Apps Will Define Future of e-Commerce - Can Retailers Solve Mobile Challenges?

James Brear
Zycada

For years now, online retail has been steadily growing while brick and mortar retail has gradually shrunk. The global pandemic and its accompanying lockdown have significantly sped up this process in 2020 and will continue to do so through 2021. But within the larger macro trend of growing e-commerce, a smaller trend is also taking shape: the growth of mobile commerce over traditional PC-based e-commerce.

A study by App Annie forecasts Q4 2020 to bring in the most mobile shopping ever in the US, with over one billion hours being spent on Android devices alone. That's a 50% increase from Q4 2019.

Mobile commerce offers several benefits for retailers. For one, it allows them to provide customers a more personalized and engaging experience that traditional PC-based e-commerce. This sort of customization is a holy grail for e-commerce players, who understand that greater personalization improves conversation rates and revenue.

In addition, mobile commerce apps are more readily accessible to consumers than traditional e-commerce platforms: People have their smartphones with them 24/7 today. They don't always have a laptop handy. With mobile commerce, customers always have the opportunity to jump on the app to browse or make a purchase, leading to more sales opportunities.

But all this potential can only be fully realized if retailers can manage the associated challenges that mobile commerce introduces. Anyone involved in the development, operation or troubleshooting of a mobile shopping app needs to be aware of the three following technical obstacles and plan accordingly.

1. Cellular networks slow speeds

To begin, mobile commerce apps are often slower than PC-based e-commerce platforms. Speed is critical to any type of online shopping experience — whether done on smartphones or laptops — as slower speeds have long been proven to hurt conversation rate and revenue.

What causes the lag for mobile apps? One reason is simple: cellular networks today tend to be slower than WiFi networks. Of course, smartphones can connect to WiFi networks at home or at the office, but outside of that, they must rely on cellular data.

5G promises to accelerate cellular network speeds, but 5G's rollout has been slow and there's no telling when it will be widely available for most consumers.

2. Dynamic content causes further lags

The other cause for lagging speeds is increasing dynamic content. Both mobile commerce apps and PC-based e-commerce platforms are using increasingly dynamic content (such as video) over static content (such as text and images) to enrich the online shopping experience. Mobile apps have a harder time supporting this dynamic content, particularly video, than PC-based e-commerce platforms. Mobile APIs aren't as robust as desktop APIs, causing videos to crash or buffer more.

In addition, smartphones don't have near the processing power of laptops, making it even harder to support this highly dynamic content.

3. Last mile issues abound

Aside from speed, mobile commerce faces serious last mile problems. The last mile describes the final part of a shopper's transaction, such as when they're entering payment information and confirming their purchase. Mobile commerce apps are plagued by increased packet drops and other last mile problems, which can cause a customer to leave without completing their transaction.

Moving ahead with mobile commerce

Consumers will expect the same speed and reliability from mobile commerce apps as they do from PC-based e-commerce platforms. To meet these expectations and enjoy the benefits of increasing mobile commerce, companies need to recognize the challenges these apps introduce and develop a plan to overcome them. Mobile shopping is only going to keep growing, and the retailers who put the right resources into solving these issues will reap the greatest reward.

James Brear is CEO of Zycada

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Mobile Apps Will Define Future of e-Commerce - Can Retailers Solve Mobile Challenges?

James Brear
Zycada

For years now, online retail has been steadily growing while brick and mortar retail has gradually shrunk. The global pandemic and its accompanying lockdown have significantly sped up this process in 2020 and will continue to do so through 2021. But within the larger macro trend of growing e-commerce, a smaller trend is also taking shape: the growth of mobile commerce over traditional PC-based e-commerce.

A study by App Annie forecasts Q4 2020 to bring in the most mobile shopping ever in the US, with over one billion hours being spent on Android devices alone. That's a 50% increase from Q4 2019.

Mobile commerce offers several benefits for retailers. For one, it allows them to provide customers a more personalized and engaging experience that traditional PC-based e-commerce. This sort of customization is a holy grail for e-commerce players, who understand that greater personalization improves conversation rates and revenue.

In addition, mobile commerce apps are more readily accessible to consumers than traditional e-commerce platforms: People have their smartphones with them 24/7 today. They don't always have a laptop handy. With mobile commerce, customers always have the opportunity to jump on the app to browse or make a purchase, leading to more sales opportunities.

But all this potential can only be fully realized if retailers can manage the associated challenges that mobile commerce introduces. Anyone involved in the development, operation or troubleshooting of a mobile shopping app needs to be aware of the three following technical obstacles and plan accordingly.

1. Cellular networks slow speeds

To begin, mobile commerce apps are often slower than PC-based e-commerce platforms. Speed is critical to any type of online shopping experience — whether done on smartphones or laptops — as slower speeds have long been proven to hurt conversation rate and revenue.

What causes the lag for mobile apps? One reason is simple: cellular networks today tend to be slower than WiFi networks. Of course, smartphones can connect to WiFi networks at home or at the office, but outside of that, they must rely on cellular data.

5G promises to accelerate cellular network speeds, but 5G's rollout has been slow and there's no telling when it will be widely available for most consumers.

2. Dynamic content causes further lags

The other cause for lagging speeds is increasing dynamic content. Both mobile commerce apps and PC-based e-commerce platforms are using increasingly dynamic content (such as video) over static content (such as text and images) to enrich the online shopping experience. Mobile apps have a harder time supporting this dynamic content, particularly video, than PC-based e-commerce platforms. Mobile APIs aren't as robust as desktop APIs, causing videos to crash or buffer more.

In addition, smartphones don't have near the processing power of laptops, making it even harder to support this highly dynamic content.

3. Last mile issues abound

Aside from speed, mobile commerce faces serious last mile problems. The last mile describes the final part of a shopper's transaction, such as when they're entering payment information and confirming their purchase. Mobile commerce apps are plagued by increased packet drops and other last mile problems, which can cause a customer to leave without completing their transaction.

Moving ahead with mobile commerce

Consumers will expect the same speed and reliability from mobile commerce apps as they do from PC-based e-commerce platforms. To meet these expectations and enjoy the benefits of increasing mobile commerce, companies need to recognize the challenges these apps introduce and develop a plan to overcome them. Mobile shopping is only going to keep growing, and the retailers who put the right resources into solving these issues will reap the greatest reward.

James Brear is CEO of Zycada

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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 ...

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