Brazilian e-commerce closed 2025 with R$ 235,5 billion in revenue and growth of 15,3% over the previous year , according to ABIACOM . The number is strong, but it only tells half the story. The sector stopped growing only in size and began to change its form.
The next phase of digital retail will not be defined by who sells the most, but by who understands the consumer best. Experience, operations, data, and artificial intelligence are no longer separate issues; they are now interconnected. Therefore, we have compiled below the seven trends that are reshaping the market now.
On this page you will find:
Brazilian e-commerce in 2026: the essentials in 6 points.
- Artificial intelligence has begun to act as an agent. that compares prices, evaluates reputation, and recommends products within the buyer's journey itself.
- The quality and integration of data determine whether AI accelerates good decisions or simply leads to faster errors.not the choice of tool.
- Logistics has become a strategic factor: Delivery time, availability, and delivery options are now as important factors in the decision as price.
- Post-purchase It has become the main driver of repeat purchases and customer loyalty.
- Content, especially video and social commerce, has become an acquisition channel.and no longer just about communication.
- Brand and relationship are back at the center. Precisely because technology has become accessible to everyone.
1. AI has entered the buying journey as an agent.
In recent years, artificial intelligence was discussed as a way to gain productivity: creating campaigns faster, generating descriptions, responding to customers. This role continues, but another has emerged.
The term "agentic commerce" describes an AI that acts in place of the consumer. Instead of opening multiple websites, the person asks the assistant to find the best option, and the agent compares prices, ratings, delivery times, and reputation, delivering a near-ready recommendation.
The competition is no longer just between brands; it now takes place within the criteria of the algorithm . Catalog quality, consistency of information, and real-time inventory, previously invisible to the buyer, become decisive factors.
2. Connected data defines what AI recommends.
The most common question about AI is still " which tool to use ". Perhaps it's the least important one.
For years, the retail industry accumulated information in systems that didn't communicate with each other: CRM, ERP, e-commerce, physical stores, loyalty programs, customer service. The result is well-known: companies rich in data but poor in knowledge.
AI alone cannot solve this problem, as it identifies patterns quickly, but it depends on the context it receives . With fragmented or outdated data, the technology only accelerates flawed choices. Victory will go to those who connect the information intelligently, not those who accumulate the most.
3. Logistics has moved out of the background and become a strategy.
A well-executed operation goes unnoticed when it works, but a late delivery or an incomplete order undermines the perception built by the brand.
With acquisition costs soaring, losing a sale due to operational failure has become a strategic error . Terms like ship-from-store , unified inventory, distributed fulfillment, PUDO , and ultra-fast deliveries are less about efficiency and more about experience. An integrated operation reduces stockouts, expands delivery options, and makes better use of the assets the company already has.
4. Post-purchase has become the new territory for customer loyalty.
Acquiring a customer has become expensive. Therefore, what happens after the "purchase" has become as important as the sale itself.
Clear tracking, seamless exchanges and returns, proactive communication, and customer service that resolves issues on the first try are what determine whether a customer returns or disappears. It's in the post-purchase phase that the brand's promise is fulfilled or broken.
Loyalty and recurring payment programs only work when that foundation is solid. Loyalty doesn't begin with the next campaign; it begins with the experience of the previous delivery.
5. The content stopped supporting the sale and became the sale itself.
The buyer's journey has lost its linearity. A large portion of purchases begin before there is a clear intention, in a short video, a spontaneous recommendation, or a demonstration by a content creator.
This became clear in discussions about social commerce, the creator economy, and TikTok Shop . When discovery, entertainment, and purchase happen in the same environment , content ceases to be a stage in the funnel and becomes acquisition infrastructure.
The question shifts from " how to advertise better " to " how to build relevance continuously ." And organic attention is one of the few assets that can't be bought simply by increasing the media budget.
6. Brand and trust have once again become key differentiators.
AI has democratized capabilities that previously separated large and small businesses. Today, any operation can produce sophisticated campaigns, generate ads, and analyze data using the same platforms.
When tools become similar, what cannot be copied becomes more valuable . A brand is not just visual identity; it's the sum of experiences and perceptions that makes a consumer choose a company even if it has a slightly better price elsewhere.
In a market where algorithms perform similar tasks for everyone, being remembered and trusted remains a difficult advantage to replicate.
7. The relationship became more important than the channel.
Marketplaces have reduced barriers and accelerated the digitization of thousands of stores. But the discourse has changed: the enthusiasm for growth at any cost has given way to concerns about profitability and building proprietary assets.
The problem begins when the entire customer relationship belongs to the platform, margins shrink, and any policy change affects revenue. Marketplaces remain excellent acquisition channels, but they have come to occupy the place of a channel within a larger ecosystem.
Ultimately, the discussion is no longer about where to sell, but about who controls the relationship with the consumer.
The future of Brazilian e-commerce is about people.
The seven movements seem distinct, but they converge on the same point. AI exists to reduce friction, data to understand behaviors, logistics to deliver convenience, and content to build trust . They all answer a single question: how to offer a better experience for the buyer.
The next generation of winning operations will not be the one that adopts the most technology, but rather the one that integrates data, logistics, content, and brand around an obsession with knowing the customer. The more advanced the technology, the more valuable it becomes to understand who is on the other side of the screen.
None of these trends can be resolved in a single project with a set end date. They require continuous adjustment of the online store as the market changes. This logic of constant evolution guides e-Plus' CS Flex , designed to keep your operation always evolving, prioritizing improvements and testing what yields results. If your store wants to transform these trends into concrete adjustments, talk to the e-Plus team of experts about CS Flex.
Frequently Asked Questions: Brazilian E-commerce
What is agentic commerce in e-commerce?
Agentic commerce is a model in which artificial intelligence acts as an agent for the consumer during the purchase. Instead of the person searching alone, the assistant compares prices, reviews, and delivery times, and provides a ready-made recommendation. This makes catalog quality, reputation, and real-time inventory decisive factors.
Why has logistics become a strategic factor in digital retail?
Logistics has become strategic because delivery time, availability, and options influence the purchase decision as much as price. With customer acquisition becoming increasingly expensive, losing a sale due to operational failure has become a costly mistake. An integrated operation reduces stockouts and improves the customer experience without requiring more infrastructure.
How does post-purchase follow-up help with customer loyalty?
Post-purchase service builds loyalty when it fulfills the brand's promise after payment. Clear tracking, hassle-free exchanges, proactive communication, and effective customer service determine whether a customer returns. It is this experience, and not just the next campaign, that sustains loyalty and repeat business programs.
Can artificial intelligence replace a good database?
No. AI depends on the quality of the data it receives. It identifies patterns and automates decisions quickly, but if the information is fragmented or outdated, it only accelerates errors. The key difference lies in connecting CRM, ERP, and sales data, not in accumulating volume.
