Machine Learning for Small Business
Cafe use-case
Tango
1/23/20242 min read


In the outskirts of Sydney, nestled among factories and office buildings, sat a quaint little cafe known as "Shire Coffee Bean". Owned by three friends, Shire Coffee Bean was well-loved by locals for its cozy ambiance and rich coffee. However, despite their popularity, the owners struggled to grow their revenue. This was until they were introduced to the transformative power of machine learning.
Through a friend who consults in the AI space, they learned about machine learning and its impact on businesses. They realized that Shire Coffee Bean, though small, sat on a goldmine of data - from customer preferences to peak hours. They decided to engage their consultant friend to implement a machine learning tool tailored for small businesses, aiming to harness this data to boost their revenue.
The first step was to analyze customer behavior. The machine learning algorithm sifted through months of sales data, identifying patterns that were invisible to the human eye. It revealed surprising insights - certain blends were popular on rainy days, and some pastries often went unsold. Armed with this knowledge, they tweaked the menu, aligning it more closely with customer preferences.
Next, they focused on personalization. The machine learning tool segmented customers based on their purchase history, allowing Shire Coffee Bean to send targeted offers and recommendations using the email addresses their regulars provided as part of the loyalty program. Regulars were delighted by this personal touch, feeling that Shire Coffee Bean truly understood their tastes.
Perhaps the most significant change was in inventory management. The algorithm predicted demand with remarkable accuracy, reducing waste and ensuring that popular items were always in stock. This not only saved money but also ensured customer satisfaction.
The team didn’t stop there. They used machine learning to optimize staffing schedules, ensuring the cafe was adequately staffed during peak hours, enhancing customer service, and reducing unnecessary labor costs during quieter times.
Within months, Shire Coffee Bean witnessed a substantial increase in revenue. Customers loved the personalized experience and the always-available favorite items. The owners, initially sceptical, were amazed at the transformation. "It's like we know exactly what our customers want, even before they do! Machine learning isn't just for the big players. It’s a game-changer for small businesses like ours."
Shire Coffee Bean had not only increased its revenue but had set a new standard in customer satisfaction. This little cafe became a testament to how small businesses, with the right tools and a dash of innovation, could quickly grow their revenue and stand tall in a competitive market.