AI-Powered Genie Turns Raw Sales Data into Real-Time Answers
A fast-growing food and beverage brand replaced scattered sales data files and manual reporting with an AI-powered Databricks Lakehouse, delivering 90% accuracy, faster, more accurate decisions and a true self-serve data culture in just 3 weeks.
Problem Statement
A fast-growing food and beverage company struggled to extract timely, actionable insights from daily sales data. Critical sales files were scattered in multiple .gzip archives with complex, shifting schemas, making it difficult to consolidate or analyze information efficiently. Reporting processes were manual, repetitive, and error-prone, forcing business users to spend hours wrangling raw data instead of focusing on insights and decisions.
Without trusted, near real-time sales visibility, teams risked making decisions based on incomplete data and assumptions leading to missed revenue opportunities, slow responses to market changes, and limited operational agility.
Challenges
- Sales data fragmented across numerous .gzip files
- Complex, evolving schemas increased data preparation effort
- Manual, error-prone reporting workflows
- Excessive time spent cleaning data instead of using it
- Delayed answers to urgent sales questions
- No robust governance or single source of truth
- Over-reliance on instinct instead of data-driven actions
Our Solution
Syren delivered a custom-designed Databricks Lakehouse solution that ingests sales files into a Medallion architecture and manages the data lifecycle end-to-end. This solution automated data cleaning built trusted sales models, and, most importantly, integrated Genie for natural language, AI-powered analytics.
The solution was truly tailored. Every layer, from data ingestion to Genie’s conversational analytics, was shaped around the company’s unique data, business rules, and pain points. Syren’s team worked closely with stakeholders to ensure every requirement was met and exceeded.
The standout innovation was the seamless experience for business users: Syren’s architecture allows anyone to ask a sales question in plain English and get instant, reliable answers, no SQL or technical skills needed. The use of AI to democratize data access was both innovative and transformative.
Challenges such as handling unexpected data anomalies and aligning user access across platforms were met with creative solutions, close collaboration, and fast problem-solving.
Key milestones included seamless access provisioning, rapid pipeline development, Medallion modeling, Unity Catalog onboarding, and end-to-end Genie integration, all delivered on time in just three weeks.
Key Value Delivered
- Manual, error-prone reporting replaced by automated data pipelines.
- Medallion architecture created trusted, organized layers for clean sales insights.
- Natural language queries democratized insights for all business users, especially non-technical users.
- Strong governance and access control through Unity Catalog built trust in the data.
- Business teams freed from repetitive data wrangling, focusing instead on action.
- Sales decision-making shifted from “gut feel” to self-serve analytics, making teams true data citizens.
Impact
Business decisions that once took weeks and months now happen in days.
Conclusion
By partnering with Syren, the team experienced trusted, self-serve sales insights in record time, and replaced manual effort with AI-powered answers and faster, more confident decisions.