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What is Predator?

Predator is designed to aid organizations in detecting and preventing fraudulent activities while ensuring compliance with Anti-Money Laundering (AML) regulations. This innovative platform offers ongoing monitoring of transactions through various channels, including ATMs, credit cards, digital wallets, and online banking options. By employing a blend of machine learning algorithms and rule-based detection techniques, it identifies irregular patterns and behaviors in customer transactions, enabling swift action to mitigate potential fraud. The system is adaptable, allowing businesses to respond to changing global regulations by adjusting risk metrics, creating customized rules, and establishing workflows tailored to their specific AML requirements. Additionally, it enhances operational efficiency through optimized case management, prioritizing essential alerts and supporting detailed investigations. With GBG's Transaction Monitoring solution, organizations can rely on robust data security assured by ISO 27001:2013 certification, and benefit from 24/7 assistance to tackle any challenges that arise. This empowers businesses not only to meet regulatory demands but also to strengthen their overall fraud prevention measures effectively, ensuring a comprehensive approach to financial security.

What is Appriss Engage?

Protecting your profits while providing outstanding customer experiences is essential. Appriss Engage equips retailers with real-time protections by leveraging AI to deliver behavior-based recommendations that improve the management of returns, claims, and customer appeasement. What sets Appriss Engage apart is its ability to integrate data across multiple channels, resulting in accurate advice for addressing returns and claims. Whether in a physical store or online, Appriss Retail is committed to safeguarding transactions against fraudulent activities and misuse. It provides immediate insights on whether to approve, flag, or deny return requests, effectively reducing conflicts that stem from policy enforcement or biases in face-to-face interactions. This solution not only defends against fraudulent return transactions but also ensures that honest customers can enjoy a superior experience. Moreover, since fraudulent or abusive returners can interact with online platforms or customer service, it underscores the importance of having a robust fraud prevention approach that covers all customer engagement avenues. Consequently, Appriss Engage not only helps preserve profitability but also enhances customer satisfaction, making it an indispensable partner for retailers. By adopting such a holistic approach, businesses can effectively balance risk management with an unwavering commitment to their customers.

Media

Media

Integrations Supported

Cumulus Retail

Integrations Supported

Cumulus Retail

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

GBG Plc

Date Founded

1989

Company Location

United States

Company Website

www.gbgplc.com/apac/products/transaction-monitoring/

Company Facts

Organization Name

Appriss Retail

Company Location

United States

Company Website

apprissretail.com/solutions/engage/

Categories and Features

Categories and Features

Returns Management

3PL / ERP Integration
Automated Exchanges
Branded Experience
Custom Return Policy
Inventory Management
One-Click Returns Processing
Returns Analytics
Shopper Self-Service
Smart Data Collection

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