STOCK TITAN

Notifications

Limited Time Offer! Get Platinum at the Gold price until January 31, 2026!

Sign up now and unlock all premium features at an incredible discount.

Read more on the Pricing page

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

Rhea-AI Impact
(No impact)
Rhea-AI Sentiment
(Neutral)
Tags
AI

GrocerIQ Holdings (OTC:GRIQ) announced a patent application filed with the USPTO on December 3, 2025 for its Physical AI platform aimed at automated micro-grocery retail.

The filing covers a unified automation architecture combining sensor networks, Vision AI, edge compute, predictive inventory forecasting, and an operations dashboard to enable automated inventory management, real-time demand forecasting, and in-store decisioning for small-format stores.

GrocerIQ says the patent-pending status will serve as a foundation for platform deployments, future filings, and expanded IP protection, with further deployment details to be announced in coming months.

Loading...
Loading translation...

Positive

  • None.

Negative

  • None.

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.

SOURCE: GrocerIQ Holdings, Inc.



View the original press release on ACCESS Newswire

FAQ

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

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

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

The platform integrates a sensor monitoring mesh, Vision AI, edge compute engine, dynamic inventory forecasting, and an operations command dashboard.

How could GrocerIQ's (GRIQ) Physical AI platform affect micro-grocery operations?

GrocerIQ says the system aims to improve accuracy, reduce staffing needs, and enable real-time automation for small-footprint stores.

Is GrocerIQ's (GRIQ) IP protection final after the December 3, 2025 filing?

No—GrocerIQ's status is patent-pending, meaning the application is filed but the patent has not yet been granted.

Will GrocerIQ (GRIQ) provide deployment dates or commercial details for the Physical AI platform?

GrocerIQ indicated it will announce additional deployment and platform developments in the coming months but did not provide specific dates or financial metrics.
GrocerIQ Holdings

:GRIQ

GRIQ Rankings

GRIQ Latest News

GRIQ Stock Data