Koala Adds Machine Learning

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The Koala Platform is designed to create opportunities to collect meaningful data while also maximizing transactional efficiency and profitability.

Koala, known for uniting the customer experience across multiple digital channels, has added  machine learning. The new feature is designed to increase check size and guest satisfaction by utilizing machine learning to make tailor-made recommendations for cross-sell suggestions.

The brand piloted the new tool with WaBa Grill. The machine-learning algorithm has analyzed more than 115,000 orders, collecting approximately 260,000 individual data points and that data was then used to make smart, informed recommendations on future orders. The Koala platform successfully doubled the revenue generated by cross-sells.

[Trend Report on Online Ordering: Digital Demands Present New Challenges, Opportunities for Restaurants]

Cross Referencing in the Cloud

At the core of the feature is an affinity mapping engine that tracks sales of popular items then cross-references it against specific menu items that are most often purchased together. The recommendations are then applied to everyone's existing order experience, resulting in a digital recommendation tool that outperforms traditional if/then ordering systems by a ratio of 2 to 1.

Koala's key features, such as premium online ordering with built-in analytics and real-time optimization, have made a measurable difference for major restaurant brands, including MOD PizzaPei Wei, and TGI Fridays to name a few.

Koala is among the dozens of companies exhibiting their innovative technology at MURTEC,  March 7-9 in Las Vegas.  At MURTEC, restaurants will discover solutions to streamline guest, employee experience


ICYMI:   Live at MURTEC: Innovative Technology Solutions (part 1)

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