As you must have noticed that whatever we search for online, our social media platforms like Facebook would show recommendations and shopping options based on your previous searches.
It is fascinating to see your social media integrating search behaviors to bring specificity and targeted suggestions. All this happens with the help of machine learning and artificial intelligence, which is revolutionizing the restaurant industry.
As in the online food ordering and restaurant industry which is perfectly competitive in some areas, everyone is offering pizza. At times for consumers, whoever offers it most conveniently without compromising much on taste will eventually take that order and subsequently market share.
This is where machine learning and artificial intelligence (AI) come into play to gain your restaurant that extra bit of market share.
Machine learning can be defined as an application of artificial intelligence (AI) that allows systems to automatically learn and improve from experience (without explicitly being programmed to do so). Machine learning focuses on developing computer programs that can access data, analyze it and use it to learn.
When AI and machine learning are added to food ordering applications like Blink, they will eventually be automating the marketing aspect in real-time. Whenever a customer desires to eat a specific dish based on his history and search behaviors, he will automatically get suggestions suited to his interest.
Consumers see offers change by the minute based on the virtually unlimited data their behaviors create for machines to process. Facebook’s retargeting ads are just one example.
With the use of machine learning and AI, your restaurant’s marketing efforts will be more targeted, rather specific, and precise in approaching the right customer at the right time. Hence customer acquisition costs will be lowered. Therefore, machine learning has eliminated marketing’s biggest enemy, waste.
Moreover, Machine learning drives our algorithms for demand forecasting, product search ranking, product and deals recommendations, merchandising placements, fraud detection, translations, etc. It has something to offer to both customers and restaurant owners.
Based on users’ history, It provides actual means of sentiment analysis, so marketers know what to say and how the audience is likely to react. Most importantly, all this utility that machine learning offers would otherwise have exhausted vast amounts of human and capital resources. With technology, this and more is now available in cost-effective means.
