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 retail 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, with 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.
A data-driven solution that enhances the consumer returns experience to drive profitable sales while reducing fraud and building loyalty.
Incentive Optimization uses the information available at the time of return or purchase to deliver targeted, personalized incentives that will quickly drive new revenue within hours of a return.
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