The thought behind it was great, but the execution was proving difficult': Starbucks abandons AI inventory tool after only nine months following
multiple errors coffee giant says it needs to 'focus on consistency and execution at scale'

Date:
Sun, 07 Jun 2026 02:05:00 +0000

Description:
Starbucks has rolled back its failed AI inventory system, which failed to identify products in real-world environments, after just nine months.

FULL STORY ======================================================================Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Starbucks pulls AI inventory tool after nine months due to real-world challenges The AI failed to
recognize or distinguish between stock items, forcing manual intervention Other AI and tech improvements continue to roll out under Back to Starbucks transformation Starbucks has officially ended its highly publicized Automated Counting AI inventory program across all of its North American stores just nine months after it was launched in September 2025.

Developed alongside Seattle-based computer vision firm NomadGo, the app was designed to use on-device 3D spatial intelligence, computer vision, augmented reality and LiDAR sensors to give stores real-time visibility into stock shortages. CEO Brian Niccol had hoped that the tool would free up baristas from non-productive administrative work to deliver more to customers, however reports indicate the technology ultimately failed to revolutionize store admin. Latest Videos From Watch full video here: Failed Starbucks AI system gets pulled just months after launch Our goal is simple - if it's on the
menu, customers should be able to order it, Starbucks said (via Reuters ), justifying the techs place in its stores.

In early 2026, the global coffee chain announced its Back to Starbucks transformation plan, targeting revenue growth, more comparable store sales
and over 2,000 net new stores globally (including around 400 in the US). You may like Many firms are already having to roll back AI customer service tools Major study claims white-collar workers are fighting back against AI in the workplace Duolingo CEO admits pushing for AI 'did not fit' with actual work

The problems came when the tech was deployed and tested at scale, because stores found that the computer vision model struggled with basic spatial awareness and object recognition, frequently overcounting items, overlooking stock or mislabeling products.

Most notably, the tool was unable to differentiate between similar items,
like whole, oat and almost milk cartons. Starbucks also inadvertently showed the app completely missing a syrup bottle in a promotional video. Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed! Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting
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In the end, workers complained about having to force the AI to read shelves
by waving and angling tablets in specific ways to trigger sensors, making it slower than entering the details manually in the first place.

Starbucks has since deleted the associated blog posts praising the tool for its efficacy, marking a full 180 compared with early, positive narratives.

Thanks for discontinuing Automatic Counting, one worker wrote. The thought behind it was great, but the execution was proving difficult. What to read next UK businesses spend 11.7 billion on 'AI slop' corrections every year, with 1 out of every 4 hours wasted Chasing every model release is a fool's errand and a fast track to AI fatigue inside your organisation: GoodData.AI CTO says businesses should focus on automation use cases over every single
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The company has now returned to manual inventory checks, but remains
committed to a renewed, high-frequency store replenishment model to prevent customers from being greeted with out-of-stock drinks.

Though Starbucks is in the limelight for this particular example, the issues primarily revolve around computer vision and artificial intelligence outside the realms of text. In unpredictable, tightly-packed retail stockrooms with obscured labels, lighting variations and other variables, automated systems are still overcome with major challenges. Starbucks is still committed to change Even though CEO Brian Niccol had previously introduced this efficiency scheme to fix chronic product shortages and long wait times, Starbucks announced a 9% increase in quarterly revenues in Q2 to $9.5 billion as well
as a 7.1% rise in comparable store sales across North America.

We have more work to do, but we're pleased to see the combination of our comp growth and cost discipline starting to show up in margins, CFO Cathy Smith added.

Another tech improvement that doesnt appear to have gone away with the stock check automation is Starbucks new Smart Queue system, introduced in the companys earlier Back to Starbucks plan. Its designed to balance and prioritize incoming tickets across in-store, mobile, drive-through and delivery orders to ensure that customers get seen to promptly.

Looking ahead, though the inventory management tool failed, the company hasnt removed mention of its AI plans, such as leveraging artificial intelligence
to support partners, including supply chain and scheduling tools. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.



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