Reshaping the Role of Video Infrastructure in European Retail: Insights from Asian Experiences

Walking into any large supermarket or flagship store in Europe, cameras are everywhere. But most retailers still view these video infrastructures as security tools for cost centers, not as strategic assets. Meanwhile, Asian retailers are leveraging the same cameras, using AI analytics to turn video into real-time operational insights, gaining an edge in fierce market competition.

Leading Practices in Asia

According to the Asian Business Review, the Asia-Pacific region is expected to drive about two-thirds of global new retail sales, with over 4.3 billion consumers. Nearly three-quarters of consumers in the region already use AI to discover and compare products. However, despite increased investment, only about 30% of Asia-Pacific consumer goods companies have achieved over 40% deployment of AI projects. Research by Deloitte Southeast Asia also shows that retail enterprises in Indonesia, Thailand, and Vietnam are still in the early stages of data analytics adoption.

• But the leaders have begun to differentiate:
• Dwell Time Analysis: Cameras aimed at high-margin shelves, combined with analytics tools, inform category managers exactly how long customers spend before deciding to buy, abandon, or leave, allowing them to evaluate the effect of shelf adjustments.
• Queue Management: Video-derived queue analytics can trigger alerts at precise thresholds (number of people or minutes) when conversion rates start to drop, enabling operations teams to open additional checkout counters promptly.
• Footfall and Conversion Rate: Entry counts paired with POS data immediately reveal the number of customers who "enter but don't buy," turning a "sales slump" from a demand issue into a problem of merchandise, staffing, or layout.

These analyses require no infrastructure replacement—only adding an intelligence layer to existing cameras.

The Gap and Opportunity in Europe

European retailers also sit on vast amounts of video data, but most use it only for loss prevention. The EU's GDPR strict protection of personal data, along with the upcoming AI Act, raises the compliance bar for video analytics. However, with margins under pressure and consumer expectations rising in European retail, the operational efficiency gains from video analytics could become a key competitive advantage.

European retailers can take the following points from Asia's experience: 1. Treat video infrastructure as an operational data source, not a security cost center. 2. Start by piloting high-value scenarios (e.g., dwell time in high-margin areas, checkout queues) to quickly validate ROI. 3. Adopt anonymization and edge computing technologies within the AI Act framework to reduce privacy risks.

Balancing Policy and Business

The European Commission's digital strategy emphasizes data value, but GDPR and the AI Act may slow technology adoption. However, compliance is not an obstacle but a foundation for building consumer trust. If European retailers deploy video analytics transparently and compliantly, they may instead shape a differentiated brand image.

ConclusionWhile Asia-Pacific competitors actively leverage video data, European retail should no longer let cameras serve merely as "eyes." By adding an intelligent layer, European retailers can answer the questions that matter most to the boardroom: Who is coming? What are they doing? Where are we losing them? Turning video into actionable intelligence may be the most effective competitive strategy available today.