Most Latin American E-Commerce Platforms Lag in AI Adoption
According to a recent study by Google Cloud and R/GA, most Latin American e-commerce platforms are significantly behind in adopting artificial intelligence (AI) technologies. The findings reveal critical gaps in performance and AI integration, particularly in Mexico’s retail, pharmacy, and supermarket sectors.
Current State of E-Commerce in Latin America
The report indicates that 80% of major e-commerce platforms in Latin America exhibit serious deficiencies in both technical performance and AI adoption. This lack of integration poses a challenge for retailers who are striving to meet the demands of increasingly digitally savvy consumers.
Marco Pieck, Field Marketing Manager at Google Cloud in Mexico, emphasizes that many digital experiences still encounter friction at crucial moments, especially when customers are ready to make a purchase. He notes, “The challenge for retailers is to redesign the entire experience so that technology understands intent, context, and need in real time.”
Key Findings from the Retail Garage 2026 Study
The Retail Garage 2026 study analyzed 16 million data points to assess the digital experience of 30 leading retailers across various sectors. The research focused on 30 organizations within the departmental, pharmacy, and supermarket subindustries, with 17 of those companies operating in Mexico.
Experts from R/GA simulated authentic consumer journeys and utilized Lighthouse, an open-source tool from Google, to audit public metrics such as page load times, technical errors, and accessibility. The results were alarming:
- 24 out of 30 e-commerce sites failed to load principal content within the ideal time of 2.5 seconds.
- The average Largest Contentful Paint (LCP) time was 4.94 seconds, with supermarkets averaging 5.49 seconds and departmental stores at 4.58 seconds.
- 80% of platforms hindered user actions during content loading.
- Unexpected layout shifts were recorded on 21 of the 30 sites, causing user disorientation.
Challenges in User Experience
One of the significant challenges identified was the initial purchase stage, where interpreting user intent proved difficult. The study found that:
- 16 out of 30 e-commerce sites displayed no results for search queries with typographical errors.
- Only nine platforms provided relevant results for semantic searches.
- No retailer offered multimodal search capabilities, combining image and text, and only two provided voice search options.
In terms of personalization, only five retailers offered search results based on customer profiles, and only nine made recommendations based on browsing history. Furthermore, 12 of the 30 sites failed to offer complementary products on the product page, which is a missed opportunity for effective cross-selling.
Customer Support and Final Conversion
The report also highlights the importance of convenience in the final conversion stage. Only 10 retailers offered standard delivery, scheduled delivery, and in-store pickup simultaneously, while just five platforms displayed real-time inventory availability on search result pages.
The quality of virtual assistants was found to be rudimentary, with only eight out of 25 retailers’ chatbots understanding natural language. Only three chatbots successfully transferred service to a human agent without losing conversation context, and only 11 utilized sentiment analysis.
Future Outlook for E-Commerce in Latin America
As organizations look to the future, there is an expectation for a shift towards natively multimodal AI models that can manage both structured and unstructured data. Google Cloud aims to support this transition with solutions like Vertex AI and the Gemini model, which assist businesses in modernizing catalogs, optimizing delivery routes, and improving developer productivity through AI-assisted code generation.
The report argues that AI adoption is essential for automating repetitive tasks in the back office, optimizing marketing investments, and enhancing productivity in physical stores. As competition intensifies, the integration of AI technologies will become vital for retailers seeking to improve their operational efficiency and customer engagement.
Frequently Asked Questions
Latin American e-commerce platforms face challenges such as slow load times, weak search intelligence, and limited personalization, which hinder conversion rates and overall user experience.
AI enhances the e-commerce experience by making it more intuitive and efficient, allowing retailers to understand customer intent, context, and needs in real time, thus facilitating smoother transactions.
Tools such as Google Cloud’s Vertex AI and the Gemini model can assist retailers in adopting AI technologies by modernizing catalogs, optimizing delivery routes, and improving overall operational efficiency.
Note: The integration of AI technologies is crucial for the growth and competitiveness of e-commerce platforms in Latin America, and retailers must prioritize this transition to meet consumer demands.
