what3words introduces AI assistant to boost workplace efficiency

The new what3words AI integrates voice and text recognition to help businesses manage precise location data, supporting sectors from logistics to e-commerce.
1 min read

what3words has announced the launch of what3words AI, an assistant designed to simplify location-based tasks by recognising and processing its unique addresses from natural language inputs.

The tool can be accessed via a new Pro tier of the app or online map, or integrated into existing AI systems through an API.

The system uses OpenAI technology to enhance recognition and processing, enabling businesses to input, query and organise location data efficiently.

Matt Weaver, head of solutions engineering for EMEA at OpenAI, said: “what3words’ new voice enabled AI chat is a great example of how businesses can apply frontier AI to solve real-world challenges; in this case, making finding locations faster, easier, and more intuitive.

By harnessing OpenAI’s latest multimodal models – spanning voice, text and vision – what3words’ new Pro features are a powerful demonstration of how advanced AI can be embedded across a product to deliver genuine value for the people and businesses who rely on it every day.”

The tool offers features such as voice input, route planning, and the ability to extract multiple addresses from files or scans.

Business users can also organise saved addresses for sites, assets and delivery points, while e-commerce firms can integrate the system into customer service operations to prevent misrouted orders.

Chris Sheldrick, co-founder and CEO of what3words, said: “We’re seeing businesses across industries – from logistics and e-commerce, to utilities and construction – turning to AI to drive smarter, faster operations.

“But without accurate location data, these tools can fall short. what3words’ unique addressing system fills that gap with a format that’s easy for both people and machines to understand.

“And with what3words AI, we’re giving teams a simple and efficient way to manage complex location tasks, whether they’re planning routes, finding assets, or resolving customer issues.”

Ryan Fowler

Ryan Fowler is Publisher of Workplace Journal

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