Appriss Retail allows retailers to replace harsh and restrictive return policies and rules with flexible and adaptable models that predict the risk in each transaction.
The retailer’s transaction data is transformed into an information-rich database to construct an accurate historical picture that helps to predict individual consumers’ behaviors.
The Appriss Retail statistical models detect and deter potentially fraudulent consumers, while not impacting any others. This is far different from simplistic rules and broad-based return policies that affect your good shoppers.
Shape a better customer experience for your good customers while mitigating the risk of fraud with the predictive analytics from Appriss Retail. Whether your objective is to generate more sales from existing foot traffic, capitalize on BOPIS/BORIS transactions, or improve returns management, our SaaS solutions, you can achieve the following:
Consumers are recognized during the transaction even without a loyalty card.
Our solutions review your customers’ purchases and returns through any channel.
Blanket policies and incentives are not as effective as our behavior-based solutions.
Give your high value customers perks like longer return periods and targeted incentives.
Verify identifies and predicts fraudulent and abusive consumer behavior. It is the most widely used return optimization tool in the retail industry. It has been proven effective in reducing return rate by 8 percent and decreasing shrink by 13 percent for major retailers in a variety of retail formats and verticals.
Incent identifies the best incentive to keep a good customer shopping and delivers it at the end of a return or sales transaction. It rewards the consumer for loyalty, and at the same time it turns a routine shopping experience into a recurring revenue opportunity that helps you achieve your near-term sales objectives.