Retail shrink — whether intentional through theft and fraud or unintentional through incomplete shipments and inventory error — continues to be one of the largest threats to brick-and-mortar stores. At the same time, loss prevention and inventory intelligence are often siloed within retail organizations.
It’s time to move away from alerts and towards driving action through controllable inventory points and integrated data intelligence across the retail value chain. RevUnit partners with leading retailers to surface insights that prevent loss in warehouses, stores, and in transit.
Every organization we work with is different in their strategy, systems, team makeup, and data needs, so there’s not one single approach to building a custom data solution. Because of that, our teams are experts in the data journey — from modeling raw data to data visualization and building products that drive action. Once we have an understanding of your needs, we’ll create a customized solution to fit.
We won’t just build a product; we will work with your teams and systems to get the data necessary to surface actionable insights, faster.
We’ll build a unified, collaborative tool to easily get insights into your retail shrink. Working with your teams, we’ll map how to get the data necessary, then build the tool directly into your existing systems. We’ll tailor the tool to your unique needs, showcasing key metrics at-a-glance as well as deep-dive reporting.
Identify, validate, then deliver solutions for driving data innovation — all within time-boxed cycles.
Improve the in-store experience for customers and employees by delivering actionable data to managers.
Create adaptable assortment planning that leverages AI to help your planners create profitable, unique assortments.
Manage and prioritize tasks across all store locations to gain more efficiency and control of your store operations.
How one of the world’s largest retailers created a scalable digital platform that’s now used each day by more than 1.5 million team members in six countries
Whether your data project involves building a data model, a data visualization, applying machine learning, or data integration, taking an agile approach will get you better results, faster.
The best data tools may not even feel like a data tool, but instead an informative or process management tool that makes employees’ jobs easier.