UAE Retail's AI Investment Boom Faces Consumer Trust Gap, New Study Reveals

According to a recent study by SAP Emarsys, while UAE brands are significantly investing in artificial intelligence (AI) for retail, there seems to be a noticeable disconnect between their efforts and consumer perceptions.

The AI in Retail Report, now in its third year, draws on feedback from over 200 marketers and 1,000 shoppers within the UAE. It uncovers that despite 82% of marketers believing in AI's centrality to personalizing customer experience, only a mere 31% of consumers feel that brands tailor content to their individual needs. Furthermore, a scant 18% of customers think they receive adequate value for the personal data they share.

The issue primarily lies in the technical infrastructure that supports these marketing efforts. Marketers are finding it challenging to provide personalised experiences due to unstructured and inaccessible data. The SAP Emarsys research reveals that 69% of marketers admit their data is too disorganised for effective use, and an equal number struggle to leverage insights instantly. This lack of cohesive, readily available data leads to disjointed customer interactions, eroding trust and loyalty towards brands.

Marwan Zeineddine, SAP UAE Managing Director, highlighted the struggle with 'dark data'—information that is difficult to access—which affects more than half of the marketers surveyed. He pointed out the imbalance in the value exchange between consumers and brands, noting, "You share your data but get little in return with no visibility into how it's used. That's where trust breaks down and loyalty is lost." This sentiment underscores the broader challenges in building consumer trust and the imperative for brands to use data transparently and effectively.

The foundation of consumer distrust stems from two main concerns. Firstly, the opacity in how personal data is utilised by brands, with only 35% of consumers expressing a high level of trust. Secondly, the value exchange feels insufficient as customers frequently provide their data but receive repetitive and irrelevant content in return. This situation suggests that without a significant improvement in the meaningful use of data, AI risks becoming an ineffective tool that could alienate customers further.

Despite these challenges, some brands have managed to harness AI successfully to foster genuine connections with their customers. Gibson Guitars stands out as an exemplary 'Engagement Era' brand, as defined by SAP Emarsys. Sterling Doak, Gibson's Head of Marketing, emphasizes the brand's commitment to meaningful personalisation, "We're not selling t-shirts, we're selling guitars. AI helps us personalise with purpose, without losing the soul of the brand."

SAP's Zeineddine commends brands like Gibson that demonstrate how customer data can enhance the shopping experience with integrity, avoiding gimmicks. He believes that SAP Emarsys can assist businesses in transforming fragmented data into engaging, trust-building experiences that foster lasting loyalty.

As AI adoption grows, it's crucial for retailers to prioritise transparency with first-party data, ensure consistency across channels, and establish a clear value exchange to meet customer expectations effectively.