Honeywell has announced two innovative AI solutions designed to enhance efficiency and performance for frontline workers in retail and logistics sectors. The first is an upgraded AI assistant integrated into mobile computing platforms, offering features like inventory searching and product identification through natural language and visual input. The second is the new CT70 handheld device, engineered for real-time data access, fast barcode scanning, and contactless payments, powered by the Qualcomm Dragonwing Q-6690 processor with AI capabilities and upcoming RFID integration. These advancements aim to empower workers with intelligent tools for tasks like inventory management and returns processing, driving operational excellence across complex industries.
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“Honeywell’s latest solutions have been developed with workers at the center,” said David Barker, president of Honeywell Productivity Solutions and Services. “The convergence of our next-generation mobile computers with machine vision and agentic AI delivers productivity and effectiveness for our customers and their employees across retail, transportation, warehousing and other complex industries.”
New Capabilities of Honeywell’s AI Assistant Are Built for Frontline Workers
With new, expanded capabilities that are built to support key industry segments, Honeywell’s AI assistant is expected to be a digital resource for the modern labor force. The new features that will help workers operate more efficiently and effectively on a daily basis include:
Inventory search – Allows workers to find items in stock or easily suggest alternatives if the desired item is not available, saving time and providing customers a more accurate answer.
Product identification – Rapidly identifies products, parts or faults using natural language and camera input. It is designed to help reduce errors, speed up customer service and enable associates to maintain equipment more effectively.
To understand the value-add these capabilities offer, consider the application in the air travel industry. With Honeywell’s AI assistant, baggage handlers can take a photo of each customer’s bag on their handheld computer and, using machine vision, the AI assistant will help capture attributes such as color and shape. By putting this data in the palm of an employee’s hand, this descriptive information can help them to identify missing luggage, with the aim of reducing instances of lost bags and shortening wait times for travelers.
Honeywell CT70 Mobile Computer Offers Real-Time Data Access
The Honeywell CT70 mobile computer is a rugged, reliable device designed to help frontline workers streamline their daily tasks by providing real-time access to critical data, rapid barcode scanning, and on-screen contactless payment options. Equipped with the powerful Qualcomm Dragonwing Q-6690 processor, this 5G-enabled device boasts cutting-edge features including an AI processor and Wi-Fi 7 connectivity. Additionally, the CT70 will soon support RAIN RFID integration, expected in early 2026, enabling businesses to achieve more precise and up-to-date c, ultimately boosting operational efficiency in retail and logistics environments.
“Honeywell’s latest mobile computing solution powered by the Dragonwing Q-6690, the world’s first enterprise mobile processor with fully integrated RFID capability, will further accelerate productivity for the industries we serve, empower businesses with more reliable connectivity and enable edge AI-based use cases and rapid data access,” said Wassim Chourbaji, SVP and President of Qualcomm MEA, and SVP of Government Affairs EMEA, Qualcomm Technologies, Inc.
Built on the stable, secure Mobility Edge platform, the CT70 is compatible with a variety of powerful Honeywell software solutions and those from independent software vendors. Compatible solutions include the Honeywell Operational Intelligence suite, which provides deep operational insights and workflow automation to help predict and manage issues in real time, and SwiftDecoder, an easy-to-use Software Development Kit (SDK) that enables customers to acquire, process and interpret images.
