CI&T Recognized in Everest Group’s 2025 Global PEAK Matrix® Assessments for Retail and Consumer Packaged Goods Services Dec 10, 2025 CI&T Recognized in Everest Group’s 2025 Global PEAK Matrix® Assessments for Retail and Consumer Packaged Goods Services Learn more
CI&T Named Major Contender in Two Everest Group AI Application PEAK Matrix® Assessments for 2025 Oct 10, 2025 CI&T was recognized by leading research firm Everest Group as Major Contenders in two new reports for 2025: the Application Transformation Services for AI-enablement PEAK Matrix® and the Application Development Services for AI Applications PEAK Matrix®. Learn more
CI&T Releases “Retail Tech Reality Check” Report Highlighting AI’s Growing Role in Consumer Shopping Sep 29, 2025 The Retail Tech Reality Check examines how artificial intelligence (AI) is impacting the way consumers shop. From where journeys begin to how people pay, what channels they trust, and the prices they expect, retail is undergoing a significant transformation. Learn more
CI&T Joins Leading Automotive Technical Standards Association, STAR Feb 05, 2026 The Standards for Technology in Automotive Retail (STAR), automotive’s leading IT standards organization, announced that it has added CI&T, a global partner for tech-integrated business solutions, to its growing membership. Learn more
How AI, Orchestration, and Composable Architectures Are Redefining the Next Era of Commerce Feb 18, 2026 | min read Artificial IntelligenceCustomer Experience By Guillermo Raya Commerce is undergoing a structural transformation. What was once defined by transactions and conversion optimization is evolving into a dynamic ecosystem shaped by AI-mediated discovery, continuous customer engagement, and composable digital architectures.For years, organizations invested heavily in optimizing the final stages of the funnel. Improvements in checkout experiences, performance marketing, and conversion analytics drove measurable gains. However, market dynamics have changed. Rising acquisition costs, fragmented digital journeys, and Generative AI are reshaping how customers discover, evaluate, and interact with brands.To understand where commerce platforms are heading, it is useful to look at the transformation across three interconnected layers. 1. Discovery is Becoming AI-Mediated The first major shift is happening before customers even reach traditional digital touchpoints. Generative AI and conversational interfaces are increasingly acting as intermediaries between users and brands, influencing product discovery, evaluation, and decision-making.Instead of navigating websites directly, customers may rely on intelligent assistants that synthesize information, compare options, and present curated recommendations. This evolution requires organizations to rethink how their digital ecosystems are structured. Content and product data must become machine-interpretable, enabling intelligent systems to understand context, intent, and relevance.As discovery becomes AI-mediated, visibility is no longer only about search rankings or advertising reach; rather, it becomes about how effectively brands structure knowledge in ways that intelligent systems can access, interpret, and recommend. 2. Orchestration Becomes the Competitive Layer While discovery evolves, the internal dynamics of commerce are also shifting. Organizations are moving away from isolated, campaign-driven experiences toward continuous engagement models where interactions are dynamically coordinated across channels.In this environment, orchestration emerges as a strategic capability. Rather than executing predefined journeys, modern commerce platforms must interpret signals, adapt in real time, and align content, data, and experiences around evolving customer intent.The competitive advantage increasingly lies not in individual tools or features but in how effectively companies orchestrate intelligence across their ecosystem. Teams that treat orchestration as an operational layer, rather than a technical add-on, can respond faster to change and deliver more meaningful customer interactions. 3. Execution Moves Toward Composable Ecosystems Supporting these shifts requires architectural evolution. Traditional monolithic commerce platforms struggle to keep pace with rapidly changing expectations. Organizations are therefore adopting composable approaches that allow capabilities to evolve independently while remaining connected through shared data and orchestration frameworks.Composable architectures enable flexibility without sacrificing coherence. They allow teams to integrate emerging technologies, experiment with new engagement models, and scale innovation without constant platform reinvention.However, technology alone is not enough. The transition demands changes in operating models, governance, and collaboration across marketing, product, technology, and data teams. Designing Commerce Beyond Conversion Taken together, these shifts redefine what success looks like in digital commerce. The focus moves from optimizing individual moments to designing adaptive ecosystems capable of responding to continuous change.The next generation of commerce platforms will not be defined by features but by their ability to orchestrate intelligence across discovery, engagement, and execution. Organizations that recognize this structural transformation early will be better positioned to create resilient, future-ready experiences that extend far beyond the traditional conversion funnel. Guillermo Raya Senior Strategist 0