Science on Call


Science On Call is a business that provides restaurants with 24/7 tech help which means that any time, whether by a phone call or a text message, restaurant owners or workers can get in touch with them to ask for help with a technical problem they may be having. It is build with the Science On Call or SOC conversation-AI which is a powerful tool designed to streamline and automate various conversion processes in restaurant and office operations to resolve automatically. It leverages the Zendesk API ticket system to intelligently process conversations related to Kitchen closure, printer troubleshooting, and internet issues. The system efficiently determines the necessary actions, reducing manual intervention and enhancing operational efficiency.

Key Features

  • Intelligently processes diverse conversions through Zendesk with intent prediction, chat automation, scalable FastAPI architecture.

  • Well-documented source code for efficient Zendesk data processing.

  • An efficient Azure ML integrated data processing pipeline for scalable, maintainable and transparent conversational management.


  • 24/7 Availability: Assistance is available around the clock, 24 hours a day, 7 days a week.

  • Restaurant Focus: Tailored specifically for the needs of restaurants, understanding the unique challenges and technologies they rely on.

  • Comprehensive Tech Support: Covers a range of technical issues, including point-of-sale systems, hardware, software, network connectivity, menu management, online ordering, and more.

  • Convenient Communication: Users can seek assistance by sending a text message or making a phone call, providing a simple and direct communication channel.

  • Quick Response: Emphasizes immediate support, acknowledging the importance of resolving technical issues promptly to minimize disruptions to restaurant operations.

  • Dedicated Support Team: Implies the availability of a team of technical experts ready to address restaurant-specific challenges.

  • Problem Resolution: Aims to resolve technical problems efficiently, ensuring that the restaurant can operate smoothly without extended downtime.

  • Customer-Focused: Designed with the convenience of the restaurant owner or staff in mind, recognizing their need for quick and reliable technical support.


  • Python

  • ML-flow

  • Databricks

  • Pandas

  • OpenAI

  • UIpath

  • Cucumber Framework

  • RPA.


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