The Data Crisis in E-Commerce Deepens; Brands Are Seeking Solutions in AI

The long-standing notion in the e-commerce world that “data is gold” has now given way to a new problem: the inability to take action within an abundance of data. Recent research reveals that although large-scale brands are successful in generating data, they struggle to convert this data into meaningful business decisions.

Analyses conducted particularly on brands with revenues exceeding 300 million dollars show that teams are getting lost among dozens of dashboards and that decision-making processes are slowing down. While 56 percent of participants identify data trust and data quality as the biggest issue, 46 percent state that data cannot be turned into action.

The Agency Model Is Reaching Its Limits

The agency model, which has played a critical role in e-commerce operations for many years, is also at a serious breaking point. Although 76 percent of brands still work with agencies, the sustainability of this model is now being questioned.

According to the research, brands allocate 15 to 30 percent of their budgets to agencies. However, 55 percent believe that the results are not proportional to the cost, while 40 percent complain about the slow response times of agencies. Especially on platforms where algorithms change hourly, these delays lead to significant competitive losses.

AI Agents Are Becoming the New Standard

This situation is pushing e-commerce leaders toward new solutions. According to the research, 82 percent of companies plan to increase their AI investments in the next 12–18 months. Moreover, 71 percent are already familiar with or actively using AI agents.

Artificial intelligence stands out particularly in areas where speed is critical. Retail media optimization, product page content management, and demand forecasting are among the top investment areas leading up to 2026. Global research firms such as McKinsey and Gartner similarly predict that AI-powered decision systems can increase efficiency in e-commerce by 20–30 percent.

Trust and the Human Factor Remain Critical

However, the most important issue in the transition to AI is trust. The majority of e-commerce leaders remain cautious about “black-box” AI systems that lack transparency. While 82 percent of participants state that an integrated data structure is critical, 53 percent prioritize security and regulatory compliance.

In addition, 43 percent emphasize that human oversight must be part of the process. This shows that the future model will not be full automation, but rather “AI + human collaboration.”

The New Era Is Not About Data, But Action

In e-commerce, competition is no longer determined by who collects more da ta, but by who can turn that data into faster and more accurate action. Although artificial intelligence plays a critical role in this transformation, successful brands will be those that combine technology with the right strategy and human intelligence. In the coming period, the winners will not be those who increase the number of dashboards, but those who can turn da ta into meaningful decisions and actions.