By offering an integrated solution for companies both large and small to leverage the power of machine learning in their operations, Bite Kiosk works with a variety of restaurants across the industry, allowing restaurants to focus on what they do best: providing great service and making great food. Bite’s algorithm uses reinforcement learning to provide recommendations to customers, and Bite Kiosk works out of the box to integrate seamlessly into existing workflows and deliver results.
Steve Truong, Head of Product at Bite, explains how machine learning algorithms predict recommendations by extracting information from the existing data they’re provided. “Machine learning algorithms take a large dataset and use the data to train the algorithm. The algorithm’s parameters determine the output given some input,” says Truong. The algorithm’s parameters could include the preferences of other customers at the restaurant, environmental factors such as weather and time of day, and the user’s own historical preferences, if they’ve previously opted into facial recognition.
In particular, the Bite algorithm is a reinforcement learning algorithm that improves over time. Truong explains, “Over time, you reinforce the learning by feeding the algorithm data and telling the algorithm whether or not the answer it predicted was right or wrong. Then, it will internally adjust its own parameters to more closely approximate a better guess the next time it gets asked the same question. As you feed the algorithm more and more of this data, it will get better and better at seeing patterns and produce more accurate results.”
Because of the machine learning algorithm, Bite’s recommendations are more powerful and flexible than upsell recommendations from cashiers. “Just saying ‘Would you like fries with that?’ is not enough. The machine learning we’re developing asks Would you like ‘X’ with that?” where ‘X’ is what the customer would say yes to every time,” says Truong.
Ultimately, Bite Kiosk is a turnkey solution that allows companies to bring the power of machine learning to the guest experience without additionally complicating the restaurant’s operations. “Our solution comes in an integrated package. We’re not a general purpose machine learning consultancy,” says Truong.
Unlike data analytics derived from a machine learning consultancy that have to be consciously integrated into the workflow, Bite Kiosk applies its findings immediately. “Using machine learning to improve restaurant operations doesn’t make sense until you can put it into practice, and kiosks are the ideal way to put it into practice. Kiosks are the perfect medium for reinforcement learning because they provide instant feedback. As we learn your taste profiles, we can reorder the entire menu board on the kiosk based on what you like.” Bite gives its clients the ability to provide customers with entirely bespoke guest experiences tailored to their individual needs and preferences. In doing so, Bite is leveraging technology to revolutionize the restaurant guest experience, enabling restaurant brands to provide their guests a level of personalized hospitality never before possible.