How Fabi.ai powers REVOLVE's operations and data team
Fabi is a streamlined solution for data analysis, reporting, and simple data science projects. It's a great middle ground between Excel, Tableau, and writing Python code yourself.
Summary
REVOLVE, a leading online fashion retailer for the next generation consumer, thrives on delivering the latest styles to its customers with unmatched speed. Maintaining the high service levels at Revolve requires a 24/7 operational engine powered by real-time data, complex analytics, and seamless workflows. With this in mind, REVOLVE’s data team turned to Fabi.ai to enhance its high levels of service in supporting these operational demands. What followed was a transformation that streamlined operations and empowered teams across the organization.
Bringing the latest fashion right to your doorstep
REVOLVE is a premier online fashion retailer that offers a mix of high-end designer brands and emerging labels for clothing, accessories and footwear. The brand is well known for its exclusive collaborations and a strong presence in the digital and social media space. With a focus on accessibility and a seamless shopping experience, REVOLVE has become a key player in the fast-paced world of online fashion.
The challenges of supporting a business that’s on 24/7/365
A key part of REVOLVE’s offering is its promise to deliver fashionable items to customers’ doorsteps within days. Whether it’s a last-minute wedding outfit or vacation look, REVOLVE’s customers rely on the brand to deliver style at lightning speed. But fulfilling this promise isn’t easy. It requires a 24/7 operation supported by data infrastructure that can keep up with the pace.
On top of these operational demands, the data team also supports the broader business—optimizing shopping cart algorithms, personalizing the website and providing strategic and operational insights to drive value.
To continue to provide these high service levels and keep pace with the growing demands of the business, the data team explored solutions that would empower and enhance warehouse operations and more efficiently manage the data science and business intelligence team workflow.
When Daniel Wu, REVOLVE’s SVP of business intelligence and data science, came across Fabi.ai, he saw an opportunity to streamline operations and empower their teams with AI-driven tools. The goal was clear: enhance operations and support the business with a modern, efficient solution that could meet the needs of a 24/7 business.
Streamlining warehouse operations with Fabi.ai
One of REVOLVE's most critical objectives is maintaining reliable, real-time data access for their 24/7 warehouse operations. "Warehouse workers needed to be able to quickly log in and out from different points in the warehouse" explains Daniel. "With manager rotations across different shifts, the logging process itself can cause unnecessary friction."
REVOLVE's data team was able to reproduce and replace existing dashboards with Fabi.ai in just a few days. The new solution delivered immediate improvements:
- Simplified access: Warehouse workers could log in quickly without barriers, even from shared workstations
- Guaranteed availability: Eliminated weekend maintenance windows that can disrupt operations
- Enhanced performance: Dashboards loaded significantly faster by connecting directly to MySQL and using Fabi.ai’s intelligent caching system
- Intuitive interface: Easy navigation for non-technical users meant less training and support needed
The result? A smoother, more efficient warehouse operation that kept deliveries on track and customers happy.
Streamlining ad hoc analysis with an AI-powered assistant
Beyond warehouse operations, the REVOLVE team–like many data teams–also faces a constant stream of data and analysis requests from departments like marketing and finance. Before Fabi.ai, this meant:
- Manually writing or recycling SQL queries
- Copying data into Excel for pivot tables and analysis
- Building quick dashboards for visualizations
- Packaging everything into emails with attachments
Sometimes we need to learn about new subject areas, especially tables that someone isn't familiar with. We have a team of very strong analysts, but not everyone is an expert on every table and field.
Fabi.ai transformed this process by acting as an AI-powered assistant that:
- Accelerates query development: Generates SQL and Python code to jumpstart analyses
- Simplifies visualization: Creates charts and graphs directly from natural language requests
- Ensures reproducibility: Maintains code, data, and visualizations together in shareable URLs
- Enables collaboration: Makes it easy for analysts to learn from each other's work
This streamlined workflow freed up the data team to focus on higher-value analysis while delivering faster, more accurate insights to stakeholders.
Transforming operations: Fabi.ai’s impact at REVOLVE
With Fabi.ai in their toolbox, the data team at REVOLVE has made advanced data insights accessible to more stakeholders than ever. On top of this, they’re able to spend less time on wrangling ad hoc requests and more time making a difference.
Fabi.ai is basically a democratization of data scientists, in a way, because a lot of those things were historically done by data scientists, but we’ve only had so much of their time go around.
Quantitative results:
- Warehouse system reliability: Achieved 99.99% uptime for operational dashboards, significantly reducing weekend maintenance windows
- Accelerated reporting: Significantly reduced dashboard loading times and eliminated authentication delays for warehouse staff
- Streamlined processes: Automated workflows and routine updates.
Qualitative results:
- Data team productivity: Analysts are significantly more efficient thanks to Fabi.ai's AI assistant generating SQL and Python code, allowing them to handle more complex requests.
- Enhanced collaboration: Reports are now more reproducible and collaborative, with underlying code always attached for easy replication and review.
- Self-service analytics: Real-time connections to multiple data sources and AI capabilities are empowering business users to explore data independently.
- Data-driven culture: Teams are asking more questions and diving deeper into data analysis, doubling down on REVOLVE’s culture of data-driven decision-making.
- Democratized data science: Enabled analysts to perform regression analyses and create advanced visualizations without specialized Python knowledge.
By partnering with Fabi.ai, REVOLVE has further strengthened its foundation of data-driven decision making through its agile, insights driven platform.
Fabi is a streamlined solution for data analysis, reporting, and simple data science projects. It's a great middle ground between Excel, Tableau, and writing Python code yourself.
Looking forward: Scaling the impact of data for everyone with less stress
REVOLVE’s journey with Fabi.ai is just beginning. The data team is excited to expand their Fabi.ai usage to support:
- More self-service analytics for business users by leveraging AI capabilities
- Opportunities to automate common retail analytics workflows
- More sophisticated data science solutions specific to e-commerce
"We see Fabi becoming more of an entry-level data analyst itself," Daniel explains. "Answering specific questions about the business or how marketing channels are performing in an automated way drives a great deal of efficiency."
Ready to transform your data operations? Get started with Fabi.ai for free in less than five minutes.
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