Appriss Retail Unveils SecureGPT: A Generative AI Capability That Democratizes Access To Complex Transaction Data

Appriss Retail, a leading provider of data and analytics solutions designed to reduce retail losses, decrease return and claim fraud and abuse, and provide a more seamless consumer experience, today introduced SecureGPT, a powerful new feature inside its Secure exception-based reporting (EBR) platform that now adds a retail-centric natural language search capability. SecureGPT uses generative AI technology to vastly improve the time it takes for loss prevention specialists to analyze data and develop incident cases.

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“Retail data continues to grow more complex — with diverse buying, returning, and fulfillment methods across various source systems”

SecureGPT’s generative AI capabilities are tailored specifically to the loss prevention industry. The generative AI integration acts as a co-pilot for users of the Secure platform, helping with tasks like:

• Empowering Natural Language Queries: SecureGPT enables users to search and analyze data through conversational queries, eliminating the need for technical expertise and making it easier for loss prevention specialists to extract insights from transaction data.
• Enhancing Case-Related Efficiency: With capabilities to save searches, filter data, and auto-generate SQL queries, SecureGPT streamlines the investigative process, allowing loss prevention teams to conduct case work faster and more effectively.
• Boosting User Engagement: SecureGPT’s conversational interface offers a more intuitive user experience, empowering real-time query adjustments and optimized search criteria, enhancing interaction and usability within the Secure platform.

SecureGPT is an intuitive tool for loss prevention practitioners, fostering users to have a dialogue with the Secure platform.

The introduction of SecureGPT marks the second generative AI-enabled capability released by Appriss Retail. While Incident + ORC Intelligence empowers loss prevention specialists by using generative AI to connect related cases of Organized Retail Crime (ORC), SecureGPT brings a new level of accessibility and speed to data analysis.

Built on a retail-optimized large language model (LLM), SecureGPT democratizes complex data, enabling frontline associates to easily query vast datasets through natural language searches. This seamless access to information empowers users, driving higher adoption and delivering measurable ROI for our customers in loss prevention and retail security.

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“As AI-driven tools become indispensable in retail, SecureGPT is poised to transform how teams access and leverage data,” said Vishal Patel, chief technology officer, Appriss Retail.

“Retail data continues to grow more complex — with diverse buying, returning, and fulfillment methods across various source systems,” Patel added. “SecureGPT democratizes this data by simplifying complex analysis into natural language searches, empowering frontline associates to make informed decisions quickly and efficiently. This in turn not only streamlines operations but also delivers unmatched value tailored to the unique needs of loss prevention teams.”

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