Retailers Lag Behind Evolving Consumer Expectations in Digital Capabilities
A recent international study unveiled by Google at the NRF Europe trade show in Paris on September 17 highlights a significant gap between evolving consumer behaviors and retailers' digital capabilities. Titled "Garage Retail," the comprehensive study indicates that retailers have been notably slow in updating their online portals and apps to incorporate modern features like multimodal search, AI shopping assistants, and real-time stock tracking, which are increasingly expected by today's shoppers.
The "Garage Retail" study meticulously examined 23 assessment criteria across 56 diverse retailers, including department stores, fashion and beauty outlets, home furnishings specialists, and food retailers. Conducted in spring, the findings reveal a widespread inadequacy in fundamental search functionalities. For instance, a striking revelation was that only 6 out of the 56 retail portals could successfully return results when a search term was misspelled. Furthermore, only 36 of the surveyed sites were capable of processing semantic searches, such as "dry skin" or "oversized look," underscoring a fundamental lack in intelligent search capabilities.
Mark Steel, Director of Industry and Retail Strategy at Google Cloud, expressed his surprise to NRF Europe attendees regarding the study's findings. He specifically pointed out that a mere one of the 56 observed sites offered multimodal search, which combines image and text inputs. This is particularly concerning given Google's own data indicating a growing adoption of this feature among internet users. The study also highlighted deficiencies in personalization; only 18 of the portals remembered previous searches to offer more targeted recommendations, although nine, including two in the fashion/beauty segment, did demonstrate a high degree of personalization. Real-time stock visibility was another critical area of weakness, with only nine portals providing this essential feature.
Beyond search and personalization, the study also scrutinized product pages and the integration of artificial intelligence. It was found that 23 of the examined sites, including eight in the fashion/beauty sector, failed to provide sufficiently detailed product information. Mark Steel suggested this presents a significant opportunity for AI providers to generate comprehensive product listings. Moreover, among the 40 sites that featured customer reviews, only four utilized AI to produce summaries of these comments, indicating a missed opportunity to leverage AI for enhanced customer experience and efficiency.
In terms of transactional features, the findings were mixed. A substantial 34 out of 56 sites offered five or more payment methods, and 27 clearly indicated same-day or next-day delivery options directly from search results. However, only 18 portals provided a wide array of delivery choices. An interesting, though less common, feature observed was that 13 portals adapted their language based on detected user emotion, showcasing a nascent trend towards more emotionally intelligent interfaces.
Chatbot functionality was also a focus. Out of the 29 portals employing chatbots (14 of which were in the fashion/beauty sector), 22 were capable of natural-language interactions, helping to avoid robotic and frustrating exchanges. Despite this, only one of the observed chatbots offered the advanced functionality of a personalized shopping assistant. Google Cloud underscored the consumer appetite for such advancements, stating that "61% of consumers say they expect more personalised services thanks to AI," reinforcing the urgent need for retailers to embrace these technological innovations to meet evolving customer expectations.
