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EHI Study: Widespread Retail AI Adoption Constrained by Legacy Infrastructure

An EHI Retail Institute report finds nearly 90 percent of retailers deploy AI. However, outdated IT architectures and data silos hinder enterprise-wide scaling.

This article was AI-generated and published automatically. Context, labelling and all sources at the end of the article.

(KI-generiertes Symbolbild: Gemini / AI Connect)

Artificial intelligence has firmly arrived across the retail sector in the DACH region, yet businesses continue to struggle with structural maturity gaps. This is the central finding of the study 'KI-Integration im Handel 2026' published by the EHI Retail Institute and authored by Imke Hahn as part of the Initiative KI im Handel. According to the research, 89.6 percent of surveyed retail companies currently deploy AI within their business operations. However, only 35.2 percent assess their operational AI maturity as rather high, while 38.7 percent report a rather low level and 26.1 percent describe it as medium.

Despite these maturity deficits, practical deployments have become the norm across day-to-day operations. Merely 2.2 percent of the surveyed retail businesses maintain no productive AI use cases at all. Furthermore, the technology is already delivering measurable operational returns for the majority of organizations. A notable 57.0 percent of respondents confirm that AI makes a noticeable to substantial contribution toward increasing workforce productivity.

When examining operational business units, AI adoption is heavily concentrated in technology-focused and customer-facing domains. Retail IT departments lead adoption with 77.0 percent utilizing artificial intelligence solutions. Marketing divisions follow closely behind at 76.3 percent, while e-commerce operations report a deployment rate of 56.1 percent. In these segments, AI tools are primarily applied to streamline workflows, optimize campaigns, and manage digital interactions with consumers.

Scaling these tools beyond isolated departmental initiatives remains a formidable technical challenge. According to the EHI findings, 75.3 percent of retailers identify entrenched legacy systems as the single largest roadblock to expansion. In addition, 73.1 percent point to disconnected data silos that prevent the seamless flow of information across business divisions. Deficient data quality represents another critical obstacle, cited by 72.4 percent of participants as a major barrier to leveraging advanced algorithmic models.

In contrast, retailers report notable progress regarding legal compliance and governance requirements. The survey indicates that 57.3 percent of companies consider the obligations of the European EU AI Act to be largely or fully implemented across their operations. While compliance frameworks are taking root in more than half of retail organizations, realizing sustained economic value will depend primarily on overhauling foundational database architectures.

What this means for you

For retail operators, the survey clarifies that software licensing alone cannot drive sustainable digital transformation. Achieving cross-functional efficiency requires resolving technical debt, dismantling internal data silos, and upgrading legacy enterprise systems. Without rigorous data engineering, productivity gains will remain confined to fragmented departmental pilots.

Perspectives

Coverage: 3× EU

One story, several angles: how each source frames the topic, each with a verbatim quote.

  • diyonline.deEU

    diyonline.de highlights that while AI is already widely used in retail, its integration remains heavily constrained by legacy systems and inconsistent data quality.

    Original quote

    „Die größten Herausforderungen bei der Nutzung von Daten für KI-Anwendungen sieht die Mehrheit in Legacy-Systemen“

    diyonline.de
  • etailment.deEU

    etailment.de focuses on how AI is already boosting productivity in retail, though operational projects are slowed down by legacy systems and incomplete organizational guidelines.

    Original quote

    „Als zentrale Hindernisse nennen die Befragten Legacy-Systeme mit 75,3 Prozent, Datensilos mit 73,1 Prozent und Datenqualität mit 72,4 Prozent.“

    etailment.de

Source classification is maintained editorially (political spectrum only where consensus is broad; vendor communication is PR, not journalism). Unlabelled sources are unclassified: we do not guess.

Evidence

Well sourced
83/100
  • 89.6 percent of retail companies deploy AI, yet 38.7 percent classify their AI maturity as rather low and only 35.2 percent as rather high.

    verified
  • 57.0 percent of retailers report a noticeable to high contribution of AI to increasing workforce productivity.

    verified
  • The top scaling obstacles are legacy systems (75.3 percent), isolated data silos (73.1 percent), and inadequate data quality (72.4 percent).

    verified
  • 57.3 percent of surveyed retail companies report that EU AI Act requirements are largely or fully implemented.

    verified

The evidence score is computed, not hand-set: from confidence, the number of sources and the share of verified statements.

Source & transparency

As of: November 11, 2026

AI-generatedAI-generated: produced automatically from vetted sources with technical quality checks (source, quote and figure verification); no human sign-off of each item before publication

Sources
3
Verified statements
4 / 4
Evidence score
83Well sourced

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