Increase your productivity with machine learning. Get identity resolution across multiple locations without facial recognition. Find your stolen merchandise faster using machine learning.
Combine Freeing Returns proprietary fraud data with open-source web intelligence for super-charged exception reports that includes your external environment.
Disrupt ORC activity before it disrupts your store environment with improved investigative productivity. Automated investigative searches give you hours of productivity back each week.
With Freeing Returns proprietary fraud data it’s possible to get identity resolution for fraudsters and be one step ahead of them when they enter your locations.
Our data analytics and machine learning help identify marketplaces for stolen goods. More recoveries means more merchandise available to sell.
Set your own priorities with rule-based alerts for suspected criminal activity. Set alerts for missing SKU's or dark web activity related to your stores.
Long-gone are the days of spreadsheets and out-dated dashboards! Graph-link Analysis is a cutting-edge way to look at your data and the relationships that exist in it. It allows complex linking of disparate data sources into a comprehensive 360° view which greatly reduces the time spent searching through your data, so you can take action to stop bad actors faster.
Modern retailers are collecting data from a massive variety of sources. Have transactions in your Oracle POS, video metadata from your CCTV systems, and unstructured customer feedback data? No problem! Freeing Returns can show relations between the data from ALL your backend systems, whether structured or unstructured data, allowing you to do analysis in a way which wasn't possible before.
As technology has continued to develop, Fraudsters have gotten more and more sophisticated. Creating a variety of personas for performing repeat fraud and theft against retailers both in store and online digitally. Using Artificial Intelligence (A.I.), Freeing Returns is able to analyze and detect these multiple personas from the data, allowing your organization to more quickly identify and take action against this threat.