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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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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 ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

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The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...