AI Is Taking a Million Orders a Week at Bojangles

Bojangles, a Southern fast-food chain known for fried chicken, biscuits and breakfast, may be unfamiliar to readers west of the Mississippi. Founded in North Carolina, the company operates nearly 900 restaurants, primarily in the Southeast.

Yesterday, Bojangles announced that its AI ordering system is now handling more than one million orders per week across nearly 500 restaurants.

The company reports a 98% success rate and plans to expand the system to another 100 locations by mid-2027.

Those numbers deserve attention. This is AI operating at a scale where performance can be measured in actual customer transactions rather than demonstrations.

How Bojangles Uses AI in the Drive-Thru

Bojangles began deploying its AI drive-thru assistant in 2024 through a partnership with technology company Hi Auto. The assistant is called Bo-Linda.

The system takes customer orders and answers questions about menu items. It can also make recommendations using information such as the time of day, weather and available inventory.

On Thursday, Bojangles and Hi Auto announced a multiyear extension of their partnership.

The reported 98% success rate is encouraging, although the announcement does not precisely define the metric or provide an independent comparison with human order takers.

The system also has a human fallback when assistance is needed.

For an operator, the expansion decision may be more meaningful than the headline performance number. Bojangles has spent more than two years testing and deploying the technology, and the companies now plan to extend it to more restaurants.

That suggests the system is delivering enough value to justify further investment.

Recommendations That Reflect Restaurant Conditions

One of the most notable developments is a planned capability that will adjust recommendations based on the length of the drive-thru line.

When traffic is lighter, the system may have more opportunity to recommend additional items. When the line is longer, it can favor products that are prepared more quickly, according to the companies’ announcement.

The idea is important because a recommendation system should account for the conditions in which a sale takes place.

A restaurant can increase the average value of an order by suggesting more food. But the value of that recommendation depends on whether the restaurant can fulfill it efficiently and maintain the customer experience.

Optimizing an individual transaction does not necessarily optimize the business.

The announcement does not provide enough detail to determine how much this feature will affect sales, service times or profitability. It does show that Bojangles and Hi Auto are designing the system around restaurant operations rather than treating ordering as an isolated task.

The companies are also improving how orders move between the AI system and the point-of-sale platform. At locations with two drive-thru lanes, the technology uses vehicle images to help employees match cars with orders when the lanes merge.

These details may lack the excitement of a new AI model announcement, but they address the practical issues that determine whether technology works in daily operations.

A Lesson Beyond Restaurants

The broader lesson is not that every business needs a voice assistant. It is that AI systems may become more useful when they respond to changing operating conditions.

A system that handles customer requests should not necessarily behave the same way during a quiet period and a busy one. The right recommendation, priority or workflow may depend on demand, available resources and the customer’s immediate circumstances.

For companies evaluating AI, this suggests looking beyond whether a system can complete a particular task.

Can it recognize when the conditions surrounding that task have changed?

Can it adjust its behavior without losing sight of the larger business objective?

Bojangles has not publicly demonstrated every financial benefit of its implementation. The company-reported figures do not establish the cost savings, customer satisfaction improvements or return on investment.

Those remain important questions.

But the scale of the deployment provides useful evidence that AI can handle repetitive customer interactions in a demanding operating environment.

Strategic Perspective

Much of the AI conversation focuses on what increasingly capable systems can do.

Bojangles offers a more practical example of how a company is integrating AI into an existing customer and operating workflow.

A drive-thru system must take accurate orders, answer questions, connect with point-of-sale software and hand off to employees when necessary. Its value depends not only on whether it can understand a customer, but also on whether it fits the way the restaurant operates.

For business owners, I would pay particular attention to opportunities where AI can improve decisions during periods of changing demand.

That might involve staffing, customer communication, scheduling or sales recommendations.

The useful measure is the effect on the overall operation, including the customer experience.

Bojangles’ deployment is still a company-reported case study, not proof that every restaurant or business will see the same results. But it is a meaningful example of AI moving from a pilot project into a large-scale operating role.