Retail, Commerce & Consumer Brands · RPA UiPath
RPA UiPath: Back-Office Efficiency and Data Integrity at Scale
Automating repetitive administrative work while improving consistency across records
The Client · A global sportswear brand
Overview
A global sportswear brand engaged Taller to automate back-office finance and operations work on UiPath while strengthening the data underneath it.
The Problem
The client needed to improve back-office efficiency and data quality at a scale where manual data entry was both expensive and error-prone. Automation alone would not have been enough – the underlying data had to be cleaned up at the same time, or the automation would simply speed up existing mistakes.
The Solution
Taller’s RPA team (robotic process automation – software “robots” that carry out repetitive digital tasks the way a person would) built automations on UiPath across finance and operations, while a parallel team strengthened the underlying SQL Server databases and ETL processes for performance and security. UiPath Studio and its robots ran the automation; the SQL Server tuning, ETL work, and integration security kept the data underneath it reliable. The team treated its automation code as real, versioned software – with code review and automated deployment through Bitbucket and TFS – rather than throwaway scripts, and used Python and GitHub to reach into logic too complex for UiPath alone.
The Impact
The program delivered more than $2M in annual cost savings.
