Alpha Modus, Corp, a subsidiary of Alpha Modus Holdings, Inc. ("Alpha Modus") (NASDAQ:AMOD), an AI-driven retail innovation company with one of the industry's most extensive consumer-facing patent portfolios in the "AI in Retail" domain, today announced that on March 31, 2026, the United States Patent & Trademark Office (USPTO) issued U.S. Patent No. 12,591,901, titled "Methods for Personalized Marketing of Retail Products."
The newly issued patent protects transformative methods for real-time, in-store personalized marketing, empowering retailers to deliver targeted promotions, pricing, and product communications based on a consumer's actual interaction with products and their location within a retail store. The patent covers the ability to:
- Analyze in-store shopping activity using first-party monitoring devices such as cameras, sensors, POS inputs, WiFi systems, kiosks, and interactive displays;
- Track shoppers across retail environments via second monitoring systems to identify when a shopper is physically in a store that sells a relevant product;
- Trigger real-time, personalized product communications - including limited-time price reductions and tailored promotions - delivered via mobile devices, kiosks, or sales associates;
- Utilize comparative pricing data (retailer price, other-seller price, reduced offer price) to generate dynamic, personalized purchase options; and
- Equip sales associates with individualized guidance, including consumer-specific insights and product-specific discounting.
This issuance strengthens Alpha Modus, Corp.'s already substantial portfolio of patents covering in-store analytics, digital engagement, predictive product interaction, planogram intelligence, and personalized retail experiences.