Challenge
Brightline Retail runs its sales, inventory, and point-of-sale operations across five separate systems, one for each function and, in some cases, one per store format. None of them talked to each other. Every number executives needed for their weekly sales review had to be pulled out by hand.
That meant an analyst logging into each system, exporting spreadsheets, and reconciling them against each other before a single report could go out. Store IDs didn't match across systems, product categories were named differently in each one, and date ranges had to be checked line by line. The process took about three days out of every week.
Three days spent assembling a report is three days not spent analyzing it. By the time the numbers reached leadership, they were already stale, and the analyst assigned to the report had little time left to flag trends or answer follow-up questions. Inventory problems at individual stores often surfaced a week later than they should have, once the next report cycle caught up to them.
Approach
Nex Lab Systems started with an audit of all five source systems: the POS platform, the inventory management tool, and three separate sales tracking systems used by different store formats. The goal was to map out exactly what data each system held, how it was structured, and where the inconsistencies were, before writing a single line of pipeline code.
From there, Nex Lab Systems built ETL pipelines that pull data from all five systems into a single cloud data warehouse. Each pipeline runs nightly, so the warehouse reflects the previous day's activity every morning rather than whatever an analyst manually pulled that week. As part of the pipeline, Nex Lab Systems modeled the data into one consistent schema, standardizing store identifiers, product categories, and date formats so that a query against the warehouse returns the same answer regardless of which source system the data originally came from.
The pipeline includes data-quality checks that run before anything reaches a dashboard. These checks flag anomalies like missing store data, duplicate transactions, or numbers that fall outside expected ranges, so issues get caught and resolved before they show up in a report leadership is reading.
On top of the warehouse, Nex Lab Systems built a set of automated dashboards that replaced the manual weekly report entirely. Instead of an analyst compiling numbers by hand, the dashboards pull directly from the warehouse and refresh with each nightly run.
Result
The weekly executive report that used to take three days of manual work now takes about four hours of review time, a reduction of roughly 85%. That review time is spent looking at the numbers and deciding what to do about them, not assembling the numbers in the first place.
Store managers no longer wait for a weekly static report to find out how their store is doing. They now check dashboards that refresh daily, which means inventory issues that used to take a full report cycle to surface get caught days earlier. The analyst who previously spent three days a week on data reconciliation now spends that time on analysis instead.