Artificial Intelligence is here and will remain. Today, AI has changed many industries, and the restaurant industry is one of them. AI in restaurant marketing has been a real game changer. Even a published Forrester survey says 69% of QSRs are reducing operation costs with AI using chatbots and automation.
A QSR, or Quick-Service Restaurant, is typically characterized by fast food or minimal table service. It features streamlined menus, rapid service, drive-through options, and tablet-based ordering systems.
AI in restaurants is improving the overall customer and management experience from procurement and supply chain. All the big food chains like McDonalds, Subway, and Domino are using AI in their overall operations.
According to a 2021 survey by Lightspeed involving 2,000 restaurant operators, approximately 50% of hospitality operators in the United States and 51% in Canada expressed plans to adopt automation technology.
Following are the best three ways QSR can use AI in their restaurant business.
Convenient voice kiosks can eliminate the need for long menu scrolling which actually saves a lot of time and effort. Some voice-operated systems go even a step further with payment through voice.
These systems allow the user to make payments using their voice making the overall process simple and straightforward but this may raise some concerns. We need to look at how the software companies can tackle the issue of using someone’s recorded voice which can cause a problem.
We have already mentioned the benefits of AI and how it can reduce labor costs for restaurants. AI can use the feature of live tracking for contactless interaction in drive thru.
Voice can tell a lot about your customer’s demographics and current mood. This will help restaurants to analyze the age group and suggest meals according to the mood and are popular in the same age group.
Restaurants can analyze staffing and sales data to identify trends or patterns during peak hours, enabling them to make more informed strategic decisions.
AI can predict inventory needs and customer demand, assisting teams in pricing items and stocking them appropriately to minimize waste and reduce unnecessary expenses.
AI models, powered by specialized algorithms, can detect fraudulent or inconsistent transactions. This capability is particularly valuable, as a significant portion of losses often result from internal employee theft.
Utilize AI clustering and combine employee interaction and assist in analyzing their performance. This will create healthy competition among your staff.
The potential for AI in the food industry is limitless, and restaurant owners aiming to stay competitive and excel in the market should leverage the advantages of AI.
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