Karma
Automating personalization to drive higher guest checkout values.
Customer Background
Karma builds a digital ordering platform for restaurants. Their core product lets guests order and pay without waiting for a server. As they scaled, they needed to increase the average order value without compromising the speed of the user experience.
The Challenge
They wanted to build an AI-driven recommendation engine (like 'frequently ordered together'), but their engineering team lacked hands-on experience with production-grade Generative AI. They needed a working prototype fast, without getting bogged down in complex ML infrastructure or risking GDPR compliance.
Our Solution
Engineer Upskilling
We ran a hands-on workshop for their engineering team. We bypassed the theoretical fluff and went straight into the API docs, showing them exactly how to safely implement, prompt, and test LLMs within a strict privacy-first environment.
Rapid Prototyping
Instead of a 6-month massive data integration project, we helped them build and deploy a lightweight GenAI microservice in weeks. The service dynamically analyzes the cart state and generates real-time, highly tailored menu recommendations during the checkout flow.
The Results
Deployed a production-ready recommendation engine in under 4 weeks.
Increased average bill size by 67% across all participating restaurants.
Reduced customer support response times by 44% using internal AI tooling built independently by the newly upskilled engineering team.
Services Used
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