Apple is reportedly introducing a retail tool that scans a returned iPhone inside its sealed box and runs diagnostics without opening the packaging. The aim is to help stores identify suspicious returns while letting a phone that checks out remain sealed and return to inventory.
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What the scanner is intended to do
Bloomberg reporter Mark Gurman reported the rollout in his Power On newsletter on October 25, 2026. The devices had started arriving at Apple Stores earlier in the month and were becoming operational, according to coverage of his report.
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The checks address a reported return-fraud problem: customers may remove accessories, take the phone, or remove components from it before returning the box. Apple staff have traditionally opened returned boxes to verify their contents, even when the packaging appears sealed.
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By diagnosing the phone while it remains boxed, the scanner is intended to give staff another way to check a return without breaking the seal. If a return passes, its packaging can stay intact, avoiding the extra handling required after a box is opened.
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How it relates to Presto—and the iPhone Duo
The scanner reportedly builds on Apple’s Presto technology, which can interact with iPhones while they remain in their packaging. Earlier reporting describes Presto as a system used to update boxed iPhones wirelessly; the return scanner applies sealed-box access to diagnostics instead.
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Presto has also been linked to a separate reported feature for the iPhone Duo: a personalized “Hello” greeting displaying a buyer’s name at participating U.S. Apple Stores, in English or Spanish. That is a different use of the technology, not a stated function of the returns scanner.
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What’s still unclear
The reports do not explain the scanner’s technical specifications, sensing method, diagnostic time, or the exact components and accessories it can check. They also do not establish that every Apple Store has one, that it works with products beyond iPhones, or that it can detect every kind of tampering.
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So while the tool is intended to help identify fraudulent returns, the available reporting does not show that it can reliably catch every scenario—for example, a box altered or resealed to conceal a substitution. Its reported purpose is clear; the limits of its detection are not.