白皮书
Quality is essential for retail digital transformation, yet its ownership and execution often lack clarity. While most retailers aim for high-quality systems, challenges arise in defining and achieving quality outcomes, particularly across interconnected systems. Poor-quality outcomes, such as system glitches or inefficient manual workarounds, not only hinder productivity but also erode profitability. With inventory distortion costing the retail industry $1.77 trillion in 2023 and checkout friction driving customers away, the stakes are high.
This paper examines where responsibility for quality sits within retail organizations, highlighting the cultural and process barriers that impede quality outcomes. Traditional development approaches, such as waterfall models, and a reliance on manual testing contribute to these challenges, emphasizing speed and cost over quality. Misaligned accountability further complicates efforts, leaving testing teams under-resourced and unable to address broader quality strategies.
To overcome these issues, a cultural shift is needed to embed quality from the outset, integrate DevOps principles, and establish clear accountability for quality outcomes. Test automation emerges as a critical enabler, offering comprehensive, efficient, and scalable solutions to test systems end-to-end. AI-driven tools like Keysight Eggplant demonstrate how automation can elevate quality by reducing errors, enhancing user experiences, and driving innovation.
The rewards for prioritizing quality are significant — faster release cycles, increased productivity, and enhanced profitability. By redefining quality as a strategic priority and empowering both organizations and test teams to own their role in delivering it, retailers can achieve transformative results in their digital ecosystems.
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