Finance Board

About Project

 Cloud kitchen is an expanding market in India with a lot of challenges. The ultimate trick of managing a shared cloud kitchen lies in the management of utilities like Electricity, Water, and Gas. With a dream of reaching the unicorn food delivery players in India, our client came up with this problem statement of shared utility management across cloud kitchens.

 

Technical Highlights:

* Data loss recovery mechanism with appropriate queues and caches in the time series.

*  Multiple formats of data – Postgres – OLTP, TimeScaleDB – TimeSeries, MongoDB – NoSQL, Redis – Cache

Tech Stack:

Technical Highlights:


1. Data loss recovery mechanism with appropriate queues and caches in the timeseries.
2. Multiple formats of data – Postgres – OLTP, TimeScaleDB – TimeSeries, MongoDB – NoSQL, Redis – Cache

Challenge:


1. Identifying gas pilferages using the consistent monitoring of deviations in the weight of the cylinder.
2. Report reconciliations with the TNEB electricity bills and the sensor readings for individual kitchens.
3. Failover and redundancy in a 24/7 automated system of active sensors.
4. Capturing Device malfunctions and data loss in transit.




Solutions Proposed:


The solution comprised of
1. A Web Application for the Private Kitchen Brand managers to manage and monitor the consumption of utilities through different inlet sensors in kitchens and washrooms.
2. A Web Mobile Application for the sensors monitoring and detecting malfunctioning and capturing data loss.
3. Separate Data ingestion pipelines for receiving and sending water, electricity and gas usage data from the sensors in a time sensitive manner.

 

What Ysquare Did


1. Designed and built streaming pipelines for the data ingestion with appropriate mechanisms to trace the sensors and their data.
2. Designed and built a well sophisticated web application for the kitchen brand managers to get the usage of utilities of respective kitchens.
3. Designed and built a web Application for sensor monitoring to ensure reliability of the data and to manage customer feedback.
4. Designed a robust and scalable Cloud infrastructure in AWS with best practises to manage data reliability and scalability.

OutComes:

5000+ active sensors

500+ kitchens

3 food unicorns

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