Where Alpha Modus Technology Works
Alpha Modus owns the foundational patents covering how AI analyzes consumer behavior inside physical stores. These are the real-world applications that make those methods commercially essential.
Who this is for
Retailers & Operators
In-store media, shelf ops, queue detection
Consumer Brands & CPGs
Behavioral targeting and shelf compliance
Technology Licensees
IP licensing and enforcement
Consumers (Alpha Cash)
Financial services at the point of sale
Six core use cases
Targeted In-Store Retail Media
Retailers · BrandsDigital in-store screens have existed for years — but without real-time behavioral targeting, they're just expensive billboards. Alpha Modus patents cover the method of detecting which shoppers are present, what they're engaged with, and serving contextually relevant media at the moment of decision. A grocery chain can serve a brand's promotion to shoppers who just dwell at a competing product. A retailer can monetize that inventory programmatically.
Problem Solved
Generic static signage with no targeting or attribution
How It Works
Real-time shopper detection feeds contextual ad selection and delivery logic
Key Outcome
New media revenue stream for retailers; measurable ROAS for brands
Shelf Intelligence & Planogram Compliance
Retailers · CPGsOut-of-stocks cost the U.S. retail industry an estimated $82 billion annually. Manual shelf audits are slow, infrequent, and error-prone. Alpha Modus patents cover automated, continuous shelf monitoring via machine learning — detecting missing products, planogram deviations, and misplaced items in real time and routing alerts to the right associate before the sale is lost.
Problem Solved
Out-of-stocks and planogram violations go undetected for hours or days
How It Works
ML vision models compare live shelf state against planogram specifications continuously
Key Outcome
Reduced out-of-stock rates, improved compliance, and fewer lost sales
Shopper Detection & Behavior Analytics
Retailers · BrandsE-commerce has always known what shoppers click, dwell on, and abandon. Physical retail has been flying blind. Alpha Modus patents cover the real-time detection and scoring of shopper presence, engagement, and behavior — mapping foot traffic patterns, measuring dwell time at fixtures, and attributing in-store exposure to purchase events. The physical store finally gets the analytics layer it has always been missing.
Problem Solved
Physical retail has no equivalent to the click-stream data available online
How It Works
Computer vision and sensor fusion detect, track, and score shopper engagement in real time at the edge
Key Outcome
Store layout optimization, fixture performance data, and campaign attribution for brands
Queue Detection & Store Operations
RetailersLong checkout lines are one of the top drivers of cart abandonment and negative shopper experience — yet most retailers still depend on managers walking the floor to notice them. Alpha Modus patents cover AI-driven queue detection with automated associate dispatch — triggering alerts to open additional registers the moment wait times exceed a threshold, before customers abandon their baskets.
Problem Solved
Queue buildup goes undetected until managers notice — by which time customers have left
How It Works
Real-time computer vision detects queue formation and depth, triggering automated alerts to associates
Key Outcome
Reduced wait times, lower cart abandonment, and improved customer satisfaction scores
Patent Licensing & Enforcement
Technology Companies · RetailersAlpha Modus's 18+ patent portfolio covers foundational methods that are now embedded across the retail technology industry. Any company deploying real-time in-store shopper detection, targeted media delivery, shelf analytics, or behavioral AI in a retail context may be operating within our IP. Alpha Modus actively pursues licensing and, where necessary, enforcement — having reached confidential settlements with multiple national and regional retailers.
Problem Solved
Retailers, retail tech vendors, DSPs, and media networks operating in physical stores
How It Works
Our legal team conducts portfolio analysis to identify infringing activity and initiates licensing discussions
Key Outcome
Licensing revenue for Alpha Modus; legal certainty and IP access for licensees
Alpha Cash - Financial Services at the Point of Sale
Consumers · Retailers108 million Americans are unbanked or underbanked — cut off from mainstream financial services and paying a disproportionate share of their income in fees. Alpha Cash delivers mobile banking, P2P payments, bill pay, and global prepaid top-ups through the retail environment. Our pending patents cover proximity-triggered financial offer delivery at the point of sale — putting the right financial product in front of the right consumer at checkout.
Problem Solved
108M underbanked Americans lack access to affordable, convenient financial services
How It Works
Proximity detection and behavioral AI surface personalized financial offers at the retail point of sale via the Alpha Cash app
Key Outcome
Recurring revenue from financial services transactions; new value-added service for retail partners
Every use case above is covered by our patent portfolio
Alpha Modus doesn't just build software — we own the methods. Our 18+ issued and pending patents protect the core techniques underlying every application on this page. If you operate in physical retail AI, you're likely within our IP.
See how Alpha Modus applies to your situation
Whether you're a retailer deploying in-store technology, a brand looking to reach shoppers more effectively, or a technology company that may intersect with our IP — our team can walk you through the specifics.