Key Notes
- Starbucks plans to test background AI models in fiscal 2027 to help baristas record drive-thru orders more accurately while interacting with customers.
- Customer recognition and personalized menus are still exploratory, and Starbucks has not announced an identification method or a rollout date for those experiences.
- The plans build on existing AI experiments in drink discovery and employee support, including a beta Starbucks app in ChatGPT and the Green Dot Assist tool.
Starbucks wants its drive-thru to feel more personal, with experiences that recognize participating customers and present menus tailored to them. The company is exploring those ideas alongside a more concrete plan: testing AI that helps baristas enter orders while they talk to customers.
CEO Brian Niccol outlined the work on Starbucks’ October 29 earnings call. The order-entry tests are planned for fiscal 2027. Customer recognition, personalized digital menus and easier payment remain exploratory, with no launch date or identification method announced.
Order Entry Moves Into the Background
Niccol’s pitch is that software can handle more of the work involved in recording an order, giving employees more attention for the person speaking to them. Starbucks says the tests are intended to improve accuracy and service speed. The announcement does not include results demonstrating those gains.
For a busy coffee shop, the useful measure will be what happens when an order needs correcting. A system that captures a drink quickly but makes it harder to change the size, milk or other customizations could move the delay elsewhere. An effective trial would need to show that staff can spot mistakes and resolve them without slowing the conversation.
The recognition proposal has a different set of unanswered questions. Niccol referred to participating customers, but did not specify how participation would work, what information would identify someone or how preferences would be connected to a visit. His remarks do not establish that Starbucks will use facial recognition. Those implementation details will matter as much as the personalized menu itself.
From Drink Discovery to the Coffee Window
Starbucks has already experimented with putting AI earlier in the buying journey. In April, it introduced a beta app inside ChatGPT that suggests drinks from a customer’s description of their mood or the kind of beverage they want. Customers can also supply a photo as inspiration. That gives the company a way to help people choose before they reach a conventional menu.
The company’s AI overview, updated in June, describes a separate employee-facing tool, Green Dot Assist. It provides conversational answers about recipes, routines and service standards. Starbucks also describes Smart Queue, which sequences orders arriving through the cafe, drive-thru, mobile app and delivery channels, and plans to apply AI to equipment support and forecasting.
These tools address different parts of the same visit: deciding what to buy, helping an employee answer a question and keeping preparation in order. Bringing them together is an operational challenge as well as an AI project. A relevant recommendation is only useful if the selected drink is available, the order is recorded correctly and the handoff works.
The broader retail industry is moving in that direction too. Our reporting on retail assistants has examined AI becoming part of a merchant’s storefront, while shopping agents raise a related question about where recommendations end and a customer’s authorization begins. A menu that recognizes someone should still make it easy for them to choose something different.
Starbucks is presenting the next round of tests as support for its employees and customer experience. The practical questions are now specific: whether order entry becomes more reliable, how customers participate in recognition and when personalized menus move beyond exploration. A pilot’s results will provide a clearer test of that promise than the presence of AI at the ordering screen alone.
Disclaimer: AIstify is an independent media brand owned and operated by NuvexMedia LLC, publishing news, research, and insights on artificial intelligence, emerging technologies, automation, and related industries. NuvexMedia LLC invests in and collaborates with companies across the AI, technology, software, and digital innovation sectors. These relationships do not influence AIstify’s editorial coverage, and the publication maintains full editorial independence to provide accurate, timely, and objective information. © 2026 NuvexMedia LLC. All rights reserved. This content is for informational purposes only and should not be considered legal, tax, investment, financial, or other professional advice.
