AIR Module

Self-Learning Fraud Detection Features For Smart Shopping

Delivering true frictionless shopping can be challenging.

 

 

A common business problem with the introduction of self-checkout is increased fraud and loss. In practice, it’s difficult to maintain rule sets for rescan algorithms, and static rule sets aren’t flexible enough for multiple stores. This often leads to too many useless rescans that negatively impact the customer experience and requires expensive staffing. AI Fraud Detection solves these problems.

Key Features

Setup business rules

Setup business rules

 

Easily define and manage evaluation guidelines

Ready-to-use models

Ready-to-use models

 

Ability to designate a single strategy for all markets or use unique self-learned models for every marke

Self-Learning

Self-Learning

 

In contrast to fixed rule-based systems, self-learning systems do not require manual parameter fine tuning

Flexibility for different markets

Flexibility for different markets

 

Ability to designate a single strategy for all markets or use unique self-learned models for every market

Adapt to new fraud  strategies

Adapt to new fraud strategies

 

System automatically adapts to new fraud strategies based on programmed and learned best practices

Minimum maintenance

Minimum maintenance

 

Seamless integration allows instant rollout and minimal maintenance

Core Benefits

Self-Learning Fraud Detection Keeps Your Business Going

01

Reduction in the number of rescans

 

02

Increase of accuracy in suspected fraud cases

 

03

Automatic adaptation of own rules

 

04

Preparation for future fraud scenarios

fraud-detection

More AIR Modules

Dynamic Pricing

 

Dynamic Pricing

 

 

Real-Time Prediction

 

Real-Time Prediction

 

 

Personalization

 

Personalization