Travel and expense technology provider KDS has announced updates for its Neo software based on extensive usage analytics and machine learning capabilities.

The enhancements include upgraded Optical Character Recognition (OCR) that is now available on desktop as well as mobile. In addition, KDS Neo now uses machine learning to advance its smart receipt capture capabilities, specifically for multi-country support. OCR allows users to automatically update digital expense reports from a photo of their receipt.

KDS says it used more than 400,000 receipts from over 65 countries to teach the system to recognise all supported languages.

Using machine learning, Neo will “self-teach” to expand on languages and different types of data fields recognised by the application. For example, the technology could determine whether an expensed meal receipt was breakfast or dinner. KDS says it is also exploring long-term functionality that would compare OCR data to expensed items to identify any manual changes and possibly indicate errors or fraud.

Other changes are focused on increasing simplicity and user control during the travel shopping process, according to KDS.

Additional updates include multi-leg taxi booking, premium seat booking and mileage personalisation.

Bertrand Blais, VP of product at KDS, said: “We listened to feedback from users on what they expect to see in Neo. They want more control over how they book and a simpler, consumer-like user experience. This means complete cross-device functionality and options that correspond to what they actually need.”

The updates are part of a programme of development, growth and investment in KDS by American Express Global Business Travel, which acquired the company in 2016.

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