In today’s Brazilian digital retail landscape, platform stability can no longer be considered a technical advantage. The digital journey, increasingly shaped by various factors, makes this feature essential for business survival. With the growing complexity of architectures and consumers’ expectation of instant experiences, the gap between the click and checkout has become the key factor determining profit margins.
Recently, The Shift, in partnership with Inmetrics, brought together experts Gabriel Berti and Daniel Messias (Inmetrics) and Lúcia Shiraichi (Livelo Brasil) to discuss the strategies underpinning the country’s largest digital operations. The webinar “Smart Digital Retail,” moderated by Silvia Bassi (The Shift), highlighted how engineering combined with AI is transforming data chaos into predictability.
Below, you’ll find the key insights from this exclusive content that can help improve the efficiency of your digital operations.
Many AI projects still fail to make it past the lab phase. A Forrester study shows that more than two-thirds of companies consider AI to be critical, but 69% have yet to generate a real impact on innovation.
The main obstacle for companies today is not a lack of access to artificial intelligence, but the difficulty of integrating it as a tool that truly enhances operational efficiency. In other words, the technology loses its effectiveness when it is not integrated into the company’s culture, as Gabriel Berti explains in this excerpt.
Cultural change can only be achieved through an AI-Engineered approach, in which AI ceases to be an additional tool and becomes the core of the operation. The challenge is both cultural and technical, as it requires preparing the data and processes so that AI can predict failures before they affect the end consumer.
Another topic discussed during the debate was the impact of legacy and monolithic architectures. Particularly in the retail sector, where traffic spikes are a constant occurrence (as is the case on key dates such as Mother’s Day, Black Friday, or digital product launches), a rigid system hinders scalability.
When one part of the system fails, the entire system is affected and may become unavailable, resulting in direct lost sales and damage to the brand’s reputation, as Daniel Messias explains in this excerpt.
Application modernization, driven by a reliability engineering approach, is the key to ensuring that the infrastructure can support business growth without any surprises.
How can you tell if your website will be able to handle the next critical event? The answer lies in data-driven capacity planning, as Daniel Messias explains. Instead of reacting to traffic, leading operations in Brazil are using AI to anticipate demand.
This predictive insight allows for precise adjustments to cloud resources and infrastructure, preventing wasted costs due to server overload or, worse, service outages caused by a lack of resources. This is how the technology works to ensure the resilience of the shopping journey and provide the best possible user experience.
In this segment of the webinar, theory is put into practice with measurable results. Gabriel Berti details the strategy Inmetrics used to help a large e-commerce operation reduce cart abandonment by 50% in just a few weeks.
By applying advanced observability and rapid fixes to the user journey, thereby eliminating technical bottlenecks at checkout, digital efficiency delivered an immediate return on investment.
This proves that the customer experience is, above all, a matter of well-executed engineering.
Your digital efficiency can’t be left to chance. Leading the market requires meticulous execution and a strategy that brings together people, processes, and the best AI and data technologies.
At Inmetrics, we support companies looking to scale their operations even in complex environments, ensuring that technology drives profit rather than being a fixed cost.
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