From Chaos to Control: New Data Shows How Retailers Are Using AI to Predict Outages Before They Happen

"AI monitoring is on the rise. 54% of retailers use AI monitoring today to ensure the health of their AI applications, up from 35% a year ago, with another 24% planning to implement it within the next year. AI-powered predictive analytics is gaining ground in the industry. 45% of retailers already use predictive analytics, which enables them to anticipate and prevent potential system issues before they happen. Another 26% plan to adopt the technology soon."

"The bottom line - the growing use of AI is driving retailers to seek solutions to monitor and observe the health of their systems and applications. New Relic's intelligent observability platform works by deploying AI agents within digital applications to collect and send performance data to a central dashboard for analysis. This allows engineering teams, or in some cases the AI agents themselves, to detect anomalies, surface root causes, and even recommend or automate fixes before customers feel the impact."

"Rather than reacting to outages after the fact, retailers cite the four top drivers behind their investment in observability platforms like New Relic's: AI adoption and leveraging machine learning to enhance monitoring and speed incident resolution. Security, governance, risk, and compliance, helping to reduce exposure to threats and meet increasingly strict regulations. Cost management and minimizing waste from overprovisioned cloud resources and inefficient workflows. Customer experience management, ensuring seamless shopping experiences when it matters most."

AI monitoring adoption among retailers has risen substantially, with 54% using it today (up from 35%) and 24% planning implementation within a year. Predictive analytics is used by 45% of retailers, with another 26% planning adoption. Key investment drivers include AI adoption and machine learning for faster incident resolution, security and compliance, cost management to reduce cloud waste, and customer experience management. Intelligent observability platforms deploy AI agents inside applications to collect performance data to a central dashboard, detect anomalies, surface root causes, and recommend or automate fixes before customers experience impact.

Read at New Relic