When we talk about the trends for the second quarter of 2026 , we're not describing the future, we're describing the accelerated present. Artificial intelligence has gone from being a promise of innovation to becoming the operational structure of modern retail. However, what differentiates 2026 is not just the presence of AI, but the way it begins to mediate purchasing decisions, optimize supply chains, and redefine the relationship between brands and consumers.
Therefore, in this article we present a detailed analysis of the transformations that are shaping the market now . We explore the technologies and behaviors that demand an immediate response from e-commerce leaders, starting with the maximum evolution of automation.
AGENTIC COMMERCEIt's no longer the future.
The most radical transformation of the second quarter of 2026 is the consolidation of intelligent agents as purchasing intermediaries . Unlike traditional chatbots that answer questions, these agents analyze preferences, compare products, check stock in real time, and even execute transactions without leaving the chat window.
In this way, product discovery shifts from "search and click" to "converse and delegate ." A consumer can request a " handmade gift costing less than R$100 " and receive a list of options, with price analysis, availability, and reviews, all in seconds.
However, in practice, the scalability of this convenience depends on security and standardization. Therefore, the industry is already accelerating the development of protocols such as UCP ( Universal Commerce Protocol ), led by Google . This layer of intelligence resolves trust and governance frictions, ensuring that agents operate under explicit delegation limits and with perfectly structured product data. As a result, the retailer maintains absolute control over the transaction and data ownership, consolidating agentic commerce as a viable and secure model.
STRUCTURAL AI: FROM CUSTOMER SERVICE TO OPERATIONAL OPTIMIZATION
Beyond the front-end , AI is redefining the back-end of retail . Predictive analytics systems allow for accurate demand forecasting, inventory level adjustments, waste reduction, and automatic product redistribution between stores and distribution centers.
Gartner projects that 40% of enterprise applications will incorporate specific AI agents by the end of 2026. Global investments in AI are expected to exceed US$2 trillion in 2026 , a 36,8% increase compared to 2025. For Brazilian retail, the expectation is not to reduce investments, but to make the technology more functional, focusing on operational efficiency and margin protection.
Hyper-personalization with primary data as currency.
Personalization is no longer a brand differentiator but a competitive necessity. However, this is not about traditional segmentation. It's about creating unique experiences for each consumer, using their own data – first-party data (website behavior, purchase history, explicit preferences).
Brands that master this practice are able to increase conversion rates, reduce churn , and raise customer lifetime value . Therefore, structuring first-party data (through analytics, CRM, and loyalty programs) is now a strategic, not tactical, priority.
GEO: THE EVOLUTION OF SEO
While brands still invest in traditional SEO , the game is changing. When consumers use ChatGPT, Gemini, or Perplexity to search for products, visibility depends less on optimizing for Google and more on optimizing for AI systems.
This means that product data needs to be structured in formats that machines can accurately interpret: price, size, materials, use cases, restrictions, return policies . Brands that don't structure this information become invisible in agentic ecosystems.
CONTENT "SLOW"COUNTER-TREND THAT WORKS"
While the industry optimizes for 7-second attention spans, a counter-trend is gaining momentum: longer, cinematic content that rewards those who slow down . Brands like Sonsie are creating 1 minute and 39 second videos on TikTok (well above the standard), with slow-paced narration and in-depth storytelling.
Psychology is simple: the more time a consumer spends thinking about something, the more likely they are to act . Therefore, content that rewards slowing down generates deeper engagement and higher conversion rates.
IN SUMMARY: WHAT YOU NEED TO KNOW ABOUT THE TRENDS FOR THE SECOND QUARTER OF 2026
- O Agentic commerce It's already in accelerated adoption, it's no longer experimental;
- Hyper-Personalization Instead of being a differentiator, it becomes an obligation; brands that don't structure first-party data lose visibility in AI ecosystems.
- GEO (Generative Engine Optimization) Complementing traditional SEO, optimization for ChatGPT, Gemini, and Perplexity is now critical for product discovery;
- Supply chain automation It reduces waste by up to 30%, predictive systems adjust inventory in real time, redistributing products between stores and distribution centers;
- Content "slow" Gaining traction against the hyper-speed standard, longer, more cinematic videos reward consumers who slow down, increasing conversion rates.
And in practice, how do we implement these trends?
For retailers who want to be prepared for Q2 2026, the recommendation is clear: structure product data for machines, implement AI agents in their own channels (website, app), invest in predictive demand analysis, and start experimenting with more narrative and less frantic content . Therefore, the question is not "if" to implement these trends, but "when" and "how" to do so with confidence and strategic alignment.
Check out other articles on the e-Plus blog about AI, personalization, and e-commerce strategies to learn more about preparing your operation for the transformations of 2026. To have a high-performance e-commerce business in 2026, talk to the e-Plus team of experts.
FAQ – Trends for the Second Quarter of 2026
O agentic commerce Is it already a reality in 2026, or is it still experimental?
Agentic commerce is in accelerated adoption in Q1 2026. Phase 1 (mass implementation) is already in full swing, Phase 2 pilots are beginning, and Phase 3 experimentation is underway in large enterprises. It's no longer the future, it's the present.
How can brands prepare for AI agents if they don't control platforms like ChatGPT?
Brands don't control the platforms, but they do control their data. Structuring product information in machine-readable formats (GEO) is the first step. Second, implementing proprietary agents in direct channels (website, app) offers complete control over experience and trust.
Is hyper-personalization viable for small retailers?
Yes, but it requires a focus on first-party data. Small retailers can start with basic analytics, simple CRM, and loyalty programs that collect explicit preferences.
Will GEO completely replace SEO?
It won't replace it, but it will complement it. Traditional SEO remains important for discovery via Google. Geo is essential for discovery via AI agents. Brands need to optimize for both channels simultaneously by 2026.
