Artificial intelligence (AI) is rapidly altering the foundational processes of the retail industry, signaling a shift that extends far beyond the digital transformation of supply chains. Over the past year, the adoption of AI technologies in retail has surged, with recent industry surveys revealing that the rate of AI implementation now outpaces even the historic proliferation of smartphones and tablets in the sector. This acceleration is underpinned by quantifiable gains in efficiency, revenue, and operational quality, marking 2025 as a tipping point where pilot initiatives are giving way to deep, strategic investment.
Research by NVIDIA, McKinsey, and others points to a near-universal embrace of AI across retail and consumer goods: 89% of companies are actively using or testing AI solutions, and 97% are poised to expand their investments within the next fiscal year. These deployments cover a wide spectrum, from customer-facing interfaces like AI-powered chat to the behind-the-scenes automation of content creation and data integration. As a consequence, AI-enabled ecommerce alone is projected to reach $8.65 billion in 2025, with a compound annual growth rate exceeding 24%, underscoring that AI is not just an experimental trend but a new business standard.
Strategic Impact on E-commerce Workflows and Content Infrastructure
AI’s adoption is redefining the architecture of e-commerce operations, with direct implications for content infrastructure and the digital management of product data. One of the most immediate transformations is taking place in the management of product feeds—databases that aggregate and syndicate product information to various sales and marketing channels. AI automates feed updates, harmonizes disparate data sources, and enhances the granularity of attribute mapping, minimizing manual intervention and data entry errors. How to upload product cards According to a Honeywell survey, 70% of retailers have mostly or fully automated their data collection and content processes, paving the way for higher data reliability and faster content refresh cycles. This automation of product feeds is discussed in more detail in our blog post on Common Mistakes in Product Feed Uploads.
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Prospects and Unresolved Questions
As AI permeates all layers of retail operations, from discovery and conversion to fulfillment and support, the boundaries between core commerce, marketing, and technology teams are blurring. This suggests a future where multidisciplinary approaches and integrated SaaS platforms become the norm. However, questions remain regarding data privacy, ethical deployment, and the standardization of AI best practices across markets.
The momentum of 2025 indicates that, for retailers and e-commerce players, the challenge is no longer about whether to invest in AI but about how to orchestrate its use systematically across content, catalog, and commerce infrastructures, amplifying both growth and efficiency. Learn more about the product matrix in e-commerce.
For further reading: TechRepublic, HelloRep.
NotPIM Expert Commentary: This surge in AI adoption highlights the crucial need for e-commerce businesses to manage and optimize product data. NotPIM's solutions directly address the increased volume, complexity, and speed of data updates. The article's discussion of automated product feeds, content infrastructure, and product card optimization underscores the importance of data-driven strategies. NotPIM can empower e-commerce businesses to streamline their operations, lower costs, and react swiftly to market fluctuations, ensuring that they leverage the increasing AI capabilities.