A mobile ordering service that enables customers to place orders directly through the app and collect their meals in restaurants using their preferred fulfillment method.
During the height of the health crisis, the stakes were vital: digitizing the customer journey to ensure business continuity for 850+ restaurants. The challenge was not just technological, but operational: how to turn the mobile channel into the primary growth lever within a constrained physical environment?
General consumers, restaurant crew
Product Discovery & User Research: established a continuous user research cycle to identify and address friction points within the online ordering process.
Cross-functional Leadership: directed 3 dedicated product teams (Mobile, Data, Promo Engine) and coordinated a group of 20 experts across Finance, Legal, and Operations to ensure a successful Go-to-Market.
Data-Driven Innovation: led the development of a personalized offer engine powered by Deep Learning, transitioning from a mass-marketing approach to hyper-personalization.
+35% in sales generated via the mobile channel during the pandemic.
+45% increase in MAUs (Monthly Active Users) through continuous user experience optimization.
+50% customer engagement following the launch of personalized offers.
Scalability: successful deployment across the entire national network (850+ points of sale).
Structure: 2 outsourced functional teams
Team size: 15+ dedicated experts, cross-functional coordination of 20+ collaborators
Managed expertise:
Product & Design: project manager, UX/UI designer, system analysts
Engineering: back-end developers, mobile developers (iOS/Android)
QA & Ops: QA engineers, DevOps engineers
Customer-facing mobile application
Native mobile application
Microservice architecture
Customer data platform
Python, Kotlin, Swift
REST APIs