Case Study: a fast-growing food and beverage brand achieves self-serve sales insights with Syren's Databricks Lakehouse and Genie

a fast-growing food and beverage brand cuts manual effort by 70% with Syren

A fast-growing food and beverage brand faced significant challenges with its fragmented and manual sales data processes. Critical information was trapped in scattered .gzip files with complex schemas, leading to error-prone reporting and an inability to make timely, data-driven decisions. Syren was engaged to address these issues with a custom Databricks Lakehouse solution featuring its Genie product for AI-powered analytics.

Syren implemented a tailored Databricks Lakehouse with a Medallion architecture to automate data ingestion and create trusted sales models. The key innovation was the integration of Genie, which allows users to ask sales questions in plain English and receive instant answers. This solution was delivered in just three weeks, resulting in a 90% accuracy rate for insights and a 70% reduction in manual reporting effort, enabling the customer to make faster, more confident decisions.