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Customer expectations for retail: Beyond digital experience

Dynatrace

This is typically the first thing that comes to mind for IT professionals working in the retail industry when evaluating holiday readiness. CEOs of hybrid retailers prioritize e-commerce growth over in-store shopping, investing heavily in their online storefronts. Order processing workflow is triggered by customer orders.

Retail 208
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Improving customer experience with business process monitoring

Dynatrace

A business process is a collection of related, usually structured tasks or steps, performed in sequence, that achieve a defined business goal. Tasks may be manual or automatic, and many business processes will include a combination of both. Make better decisions by providing managers with real-time data about the business.

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The keys to helping retailers with Black Friday preparation for exceptional customer experiences

Dynatrace

For retailers, the countdown to the holidays has begun, even if it’s still six months away. Black Friday preparation is the culmination of retailers’ efforts to attract and sustain customer relationships during the holiday season and beyond. It’s no longer a one-day event. Increasingly, consumers want an omnichannel experience.

Retail 171
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Five-nines availability: Always-on infrastructure delivers system availability during the holidays’ peak loads

Dynatrace

For retail organizations, peak traffic can be a mixed blessing. The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. Downtime per year.

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Data Mining Problems in Retail

Highly Scalable

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods. However, many of these models are highly parametric (i.e.

Retail 152
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The Agile Architect: Mastering Architectural Observability To Slay Technical Debt

DZone

It's a story as old as ( UNIX ) time — in scene one, we meet an international online retailer whose software infrastructure is based on a sprawling monolithic application. The application has matured, mirroring the business's rapid growth, but the resulting complexity introduces significant complications.

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Causal AI use cases for modern observability that can transform any business

Dynatrace

That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Understanding complex systems Causal AI holds great importance for achieving full-stack observability in complex systems. More generally, causal AI can contribute to explainable and fair AI systems.