Zebra Technologies recently introduced the TC501 and TC701 handheld mobile computers.
These rugged, AI-native devices feature the industry’s first AMOLED display, which provides brighter, more power-efficient visuals at a lighter weight, and the industry’s first scan engine with colour imaging for even faster, more accurate data capture from any surface.
Equipped with Qualcomm® Dragonwing™ Q-6690 processors, these next-generation Wi-Fi 7 and 5G devices provide wide-band connectivity and location awareness for the frontline. By leveraging UHF RFID and Impinj Gen2x extensions, the new TC501 and TC701 provide advanced visibility and security of critical data, especially in challenging enterprise environments.
“For years, we’ve been embedding AI into our hardware and software, elevating outcomes for our customers and partners,” said Yogesh Kulkarni, Vice President, AI Strategy, Zebra Technologies. “Our AI-enabled solutions are shaping the future of frontline operations by creating new ways of working. We’re proud to collaborate with our extensive partner community to digitize and automate workflows for our customers.”
The intelligence in these new connected frontline solutions is powered by Zebra’s Frontline AI Suite, which consists of the following key components:
Frontline AI Enablers: a suite of on-device AI models and APIs that enable developers to build enhanced applications. By processing data where it is captured, recognising products, reading texts, and scanning many barcodes at once, these tools reduce latency, enhance accuracy, and support faster decision-making.
Frontline AI Blueprints: combine enablers into purpose-built templates that streamline multi-step workflows. These blueprints integrate computer vision, voice recognition, and sensor data with predefined business logic, automating critical workflows such as shelf merchandising, proof of delivery, material receiving, and voice-guided assistance.
Zebra Companion: assists associates with on-demand expertise and sales coaching plus procedural and product knowledge through a natural language AI-driven interface.
