GrocerIQ Holdings (OTC:GRIQ) Announces Patent-Pending Physical AI Technology for Automated Micro-Grocery Retail

Rhea-AI Summary

GrocerIQ Holdings (OTC:GRIQ) announced a patent application filed with the United States Patent and Trademark Office on December 3, 2025 for its Physical AI platform targeting automated micro-grocery and small-format retail environments.

The patent-pending filing covers a unified automation architecture that integrates sensor networks, Vision AI, edge processing, predictive inventory logic, and an operations dashboard to enable automated inventory management, real-time demand forecasting, and autonomous operational control. GrocerIQ said the system aims to lower staffing needs and improve store accuracy and customer experience. The company plans additional deployments, platform enhancements, and future filings in coming months.

Positive

• USPTO patent application filed on December 3, 2025
• Platform integrates sensor networks, Vision AI, and edge processing
• Designed specifically for micro-grocery and small-format retail

Negative

• Patent status is pending (not yet granted)
• Deployment timeline unspecified beyond 'coming months'

Market Reality Check

Price: $3.95 Vol: Volume 19,340 is over 12x...

high vol

$3.95 Last Close

Volume Volume 19,340 is over 12x the 20-day average 1,570, signaling unusually elevated interest ahead of this AI patent news. high

Technical Shares at $3.95 are trading below the 200-day MA of $11.96 and remain far under the 52-week high of $52.50.

Peers on Argus

Peers in Industrials/Consulting show modest, mixed moves (e.g., EXPGY up 1.58%, ...

Peers in Industrials/Consulting show modest, mixed moves (e.g., EXPGY up 1.58%, EUBG down 1.07%), while WPFH is up 7.05% with volume over 12x average, indicating a stock-specific reaction tied to this AI patent news.

Market Pulse Summary

This announcement highlighted a patent application with the USPTO for GrocerIQ’s Physical AI platfor...

Analysis

This announcement highlighted a patent application with the USPTO for GrocerIQ’s Physical AI platform, aimed at automating micro-grocery and small-format retail operations. The system integrates sensor networks, Vision AI, and edge processing to support real-time inventory and store control. Investors may track forthcoming updates on deployment, additional patent filings, and evidence that this technology improves store efficiency and profitability compared with existing automation solutions.

Key Terms

united states patent and trademark office (uspto), sensor networks, vision ai, edge processing, +4 more

8 terms

united states patent and trademark office (uspto) regulatory

"a patent application has been filed with the United States Patent and Trademark Office (USPTO)"

The United States Patent and Trademark Office (USPTO) is the federal agency that examines and grants patents and registers trademarks, giving creators official, time-limited rights to inventions and brand names. For investors, USPTO decisions matter because patents and trademarks can protect a company’s products and brand from copycats, support higher pricing or licensing revenue, and influence a company’s value and legal risk—think of it as an official lock and record that helps secure a business’s competitive edge.

sensor networks technical

"integrates sensor networks, Vision AI, edge processing, predictive inventory logic"

A sensor network is a group of interconnected devices that collect and share real-world data such as temperature, motion, position or chemical levels; think of it as a neighborhood of tiny weather stations and motion detectors that report back continuously. Investors care because these networks enable companies to monitor operations, cut costs, create new data-driven services, and scale products — all of which can change revenue, margins and competitive value, while also creating hardware, software and privacy risks to weigh.

vision ai technical

"integrates sensor networks, Vision AI, edge processing, predictive inventory logic"

Vision AI is software that uses artificial intelligence to teach computers to 'see' and understand images or video—like giving a camera the ability to recognize objects, read labels, detect defects, or spot unusual activity. Investors care because it can automate tasks, cut costs, create new products or services, and open markets (for example in retail, manufacturing, or healthcare), but it also brings data, accuracy, and regulatory risks that can affect returns.

edge processing technical

"integrates sensor networks, Vision AI, edge processing, predictive inventory logic"

Edge processing is the practice of running data analysis and decision-making on devices close to where data is created—such as sensors, phones, or factory machines—instead of sending everything to a distant central server. For investors, it matters because it can cut delays, lower ongoing cloud costs, improve privacy, and enable new real-time products and services, so companies that adopt it can gain efficiency and competitive advantage much like handling a problem on the spot instead of mailing it to headquarters.

edge compute engine technical

"Edge Compute Engine enabling instant in-store automation and rapid decisioning"

An edge compute engine is software and hardware that runs data processing close to where data is created—on local devices or nearby mini-servers—instead of sending everything to a distant data center. For investors, it matters because running tasks locally can speed up response times, lower ongoing cloud costs, improve privacy and reliability, and enable new products that require instant or offline processing, all of which can affect revenue and margins.

patent-pending regulatory

"patent-pending Physical AI platform delivers that capability"

A patent-pending label means an inventor has filed a patent application that is under review but not yet approved, so legal protection is not yet granted. For investors it signals a possible future exclusive right that could protect a product or process and boost competitive value, but it also carries uncertainty because the patent may be modified, limited, or denied—think of it as reserving a spot in line, not a guaranteed prize.

physical ai technical

"core elements of GrocerIQ's Physical AI platform, designed to enable automated"

Physical AI combines artificial intelligence with physical devices or environments, enabling machines to interact with and adapt to the real world in a human-like way. It matters to investors because it can lead to smarter robots, autonomous vehicles, or advanced sensors that improve efficiency and open new markets, potentially creating significant business opportunities and competitive advantages.

sensor-based retail automation technical

"AI-driven micro-grocery environments and sensor-based retail automation"

Sensor-based retail automation uses cameras, weight sensors, radio tags and other devices as the store’s “digital senses” to track products, customers and transactions without manual scanning or counting. For investors it matters because this technology can cut labor and theft, speed checkout, improve inventory accuracy and generate data that helps retailers sell more efficiently — changing cost structure, margins and growth prospects in a measurable way.

AI-generated analysis. Not financial advice.

MIAMI BEACH, FL / ACCESS Newswire / December 3, 2025 / GrocerIQ Holdings, Inc. announced today that a patent application has been filed with the United States Patent and Trademark Office (USPTO) for advanced technology supporting AI-driven micro-grocery environments and sensor-based retail automation. The filing covers core elements of GrocerIQ's Physical AI platform, designed to enable automated inventory management, real-time demand forecasting, and autonomous operational control across next-generation retail formats.

The patent-pending system defines a unified automation architecture that integrates sensor networks, Vision AI, edge processing, predictive inventory logic, and operational decisioning into a single, scalable platform purpose-built for micro-grocery and small-format retail environments.

A Physical AI Architecture for Real-World Retail

Engineered for high-efficiency, small-footprint store formats, the system includes:

• Sensor-based monitoring mesh for continuous shelf, product, and environmental data

• Vision AI modules that identify restock needs, movement patterns, and anomalies

• Edge Compute Engine enabling instant in-store automation and rapid decisioning

• Dynamic inventory forecasting and replenishment algorithms

• Operations Command Dashboard for unified visibility and quick interventions

• Workflow and UI integration that connects data-driven insights to staff actions

This architecture enables micro-grocery stores to operate with greater accuracy, lower staffing requirements, and more consistent customer experiences, areas historically difficult to optimize at a small scale.

GrocerIQ Strengthens Its Position in Physical AI

With patent-pending status secured, GrocerIQ is integrating the system as a foundational layer across its automation platform to:

• Deploy next-generation AI-driven retail solutions

• Support operators transitioning to smarter, faster store models

• Advance ongoing research, expansion, and future patent filings

"This system represents a major step forward for GrocerIQ and the future of automated retail," said James Ponce, President of GrocerIQ Holdings, Inc. "Micro-format grocery stores need technology that can sense, think, and respond in real time. Our patent-pending Physical AI platform delivers that capability and sets the stage for a new era of intelligent retail operations."

A Meaningful Expansion of GrocerIQ's IP Portfolio

The patent-pending designation strengthens GrocerIQ's position as a leader in Physical AI technology that bridges digital intelligence with real-world automation to enhance store performance, accuracy, and profitability.

GrocerIQ will announce additional developments related to system deployment, platform enhancements, and new filings in the coming months.

About GrocerIQ Holdings, Inc. (OTC:GRIQ)

GrocerIQ Holdings is a Physical AI company developing next-generation automation for micro-grocery and small-format retail environments. Through an integrated system of sensor networks, Vision AI, edge computing, and real-time operational intelligence, GrocerIQ enables retailers to improve accuracy, reduce labor strain, and operate smarter, faster stores. The company's mission is to build the backbone of automated retail and enable a more efficient, data-driven grocery ecosystem.

Safe Harbor Statement

This press release contains forward-looking statements under the Private Securities Litigation Reform Act of 1995. These statements are subject to various risks and uncertainties, including economic conditions, regulatory changes, and competitive factors. GrocerIQ Holdings disclaims any obligation to update forward-looking statements as new information becomes available.

SAOURCE: GrocerIQ Holdings, Inc.

View the original press release on ACCESS Newswire

FAQ

What did GrocerIQ (OTC:GRIQ) announce on December 3, 2025?

GrocerIQ announced a USPTO patent application for its Physical AI platform for automated micro-grocery retail.

What technologies are included in GrocerIQ's patent-pending Physical AI platform?

The platform combines a sensor monitoring mesh, Vision AI modules, edge compute, forecasting algorithms, and an operations dashboard.

How will GrocerIQ's Physical AI affect micro-grocery operations for GRIQ shareholders?

The company says the platform aims to reduce staffing needs, improve inventory accuracy, and enable real-time store automation.

Is GrocerIQ's patent for Physical AI granted or pending?

The filing is patent-pending with the USPTO as of December 3, 2025.

Will GrocerIQ (OTC:GRIQ) provide deployment dates for the Physical AI system?

No specific deployment dates were provided; the company said it will announce developments in coming months.

Does the patent-pending filing cover commercial features like inventory forecasting for GRIQ's customers?

Yes; the filing explicitly covers predictive inventory logic, real-time demand forecasting, and autonomous operational control.