Automating Restaurant Operations

The Story

The client aimed to revolutionize restaurant management by leveraging data, automation, and machine learning to streamline operations and increase profitability. Their platform empowers food brand teams to manage their operations more efficiently and stay competitive in a fast-evolving industry.

Our client is a US-based food tech startup, recognized as one of the Top 10 AI startups in 2022, offering a platform that helps food brands streamline operations and boost profitability using data and automation.

Abhay

Head of Mobile Development

Challenges

• > Time-consuming onboarding process for new food delivery platforms, delaying market entry.

• > Inefficient data ingestion from multiple delivery platforms.

• > Manual, labor-intensive handling of order disputes.

• > Coordinating tasks and workflows across diverse platforms was a major organizational challenge.

• > Staying ahead of rapidly changing consumer preferences and food trends.

The Solution

A team of six experts utilized a robust technology stack (BQ Console, VS Code, Looker Studio, Linear, Python, SQL) to tackle these challenges. They streamlined onboarding by automating the upload of CSV files, improved data ingestion for deeper insights, and automated the order dispute management process. They also integrated workflows to ensure smooth, efficient platform operations.

The Outcome

The solution enabled faster onboarding, enhancing platform adoption and reducing user friction. Data-driven insights empowered users to make informed decisions. Automated dispute resolution improved customer satisfaction and efficiency. The overall organizational enhancements optimized platform performance, allowing food entrepreneurs to focus on creating exceptional culinary experiences.