Arezzo&Co, now part of Grupo Azzas 2154, the largest fashion group in Latin America, operates more than 2,000 physical stores and manages 27 brands. The company migrated to the Databricks to unify data access and accelerate AI innovation. Using Databricks Apps, the company deployed mobile-optimized interactive applications that put real-time insights directly into employees' hands, from sales floor associates to executives, transforming how the company operates across e-commerce and physical retail.
Data silos and slow insights limited retail agility
Arezzo dominates Latin America's fashion market, selling shoes, clothing, and accessories through iconic brands. Following its 2024 merger with Grupo Soma, forming Grupo Azzas 2154, the company became part of the largest fashion group in Latin America.
With operations spanning e-commerce, physical stores, and franchise networks, Arezzo needs real-time insights to balance growth and profitability in a challenging economic environment marked by high interest rates and strong international competition.
Before Databricks, decision-makers faced fragmented data and slow processing times. “We struggled to orchestrate data creation,” explained Tauã Fagundes, Data Manager. “We had many silos and processing was slow. I wanted to decentralize data access, but I didn’t have the architecture to support that—or to innovate with AI.”
The company’s business intelligence strategy had created 1,300 dashboards and relied on more than 130 data sources. Processing company data could sometimes take up to 8 hours, and marketing teams were unable to segment customer data for personalized conversations. When working with external consulting firms, providing data took months instead of days. Arezzo needed a scalable architecture capable of supporting both self-service analytics and AI-powered applications, designed for a mobile-first workforce.
Databricks Apps deliver mobile-optimized insights to employees
Arezzo found its solution by migrating all data processing to Databricks. Centralizing on the Lakehouse accelerates data delivery while controlling costs, and Unity Catalog provides enterprise-wide governance across the organization.
“We can now see which data assets each business user is consuming and have total control over what they can share,” noted Tauã. “We have also streamlined LGPD and GDPR compliance because we can see our entire data lineage.”
Rudinei Monteiro, Data Architect at Arezzo, explained the motivation: “We want to bring centralized information into our data ecosystem. We prefer to use everything inside Databricks rather than spreading components across cloud architecture and other applications, ensuring proper governance and faster development speed.”
Databricks Apps made that consolidation possible for the application layer as well. With a way to build, host and govern applications inside the same environment as their data, Arezzo's team could go from a validated model or dataset to interactive, easy-to-use tools for business users without introducing a new stack, a new deployment pipeline or a new set of access controls.
One standout application is the employee sales rewards system, internally called “Juntos.” Any employee can share a personal discount code on social media, earning commissions when friends and family make purchases. Previously, employees had no visibility into their performance until payday. Now, over 100 concurrent users track their sales daily through a Databricks App—primarily from their mobile phones—with the product available to more than 1,300 employees in the Shoes & Bags vertical. The mobile adoption happened naturally: Arezzo’s team built the app using a responsive React frontend served through FastAPI, requiring no native mobile app. Employees simply open their phone’s browser, navigate to the Databricks workspace URL, authenticate via SSO, and start using the application.
The team also built interactive applications on Databricks Apps to replace static Tableau reports used by executives. “For directors and decision-makers, an app is much better,” observed Monteiro. “It offers a more customized experience where they can truly interact with the data and test different outcomes.”
Mobile-first AI drives measurable growth
Since deploying Databricks Apps, Arezzo has seen tangible business results. The “Juntos” rewards app has driven an 8% increase in sales through the employee referral channel, with projected incremental revenue of 2.5 million reais for 2026. Over 100 employees use the platform concurrently every day, a scale made possible by Databricks serverless compute delivering consistent performance whether accessed from a laptop or a smartphone.
Development speed has also transformed. New Databricks Apps can be built and deployed in approximately two weeks, enabling the team to iterate rapidly and respond to business needs without lengthy delivery cycles. Applications that once required months of development on legacy infrastructure now reach employees in a fraction of the time.
“With Databricks Apps, we can build once and deploy everywhere,” said Tauã Fagundes da Silva, Data and AI Manager at Arezzo. “Our employees access the same powerful applications from their phones on the sales floor that executives use in the boardroom.”
Looking ahead, Arezzo plans to expand its Databricks Apps portfolio across additional business verticals, bringing the same mobile-first, self-service AI capabilities to more teams. The combination of Unity Catalog governance, serverless compute, and the open Lakehouse architecture gives the company the foundation it needs to scale data innovation at the pace of fashion.