"We save a lot of time using Koala's machine learning technology to optimize our cross-sells. The experience around creating a meal has improved, along with order size."
Koala uses machine learning algorithms in its recommendation engine to power cross-sell functionality.
The ML models are trained on a brand-by-brand basis and offer smarter product recommendations to your guests.
Prioritize and Control
The Koala CMS allows you to control the sequence in which cross-sell rules apply - choose to prioritize ML rules before or after any manual rules.
Increase in cross-sell revenue
Through continued optimization of the recommendations engine, Koala has helped brands significantly increase revenue generated by cross-sells.
Brand Story
Koala has transformed cross-selling for brands like WaBa Grill by using ML algorithms to better guide guests through the ordering process.
At its core, an affinity mapping engine tracks sales of popular items, cross-references it against specific menu items that are most often purchased together, then applies those recommendations to guest’s existing order experience.
Unique product pairings based on cart items, informed by purchase data
"Technology plays a major role in strengthening WaBa Grill's brand. Partnering with Koala has not only enhanced the guest experience, but also increased revenue generated by cross-sells."
