Maximise Cloud Kitchen Outputs

Cloud / Dark Kitchens are a boon for the passionate Food Entrepreneurs looking for bootstrapped methods to deliver high quality, fast delivery food to Swiggy and Zomato customers.

‍

However, the exorbitant commissions that the food delivery app charges for last mile delivery service puts immense pressure on profitability of these small businesses. Additionally, whatever money is saved on rentals goes into digital marketing (on an average, about 30% of revenue). So, while it is an industry with a low entry barrier, there is also a very high mortality rate.

‍

Vumonic help restaurants and cloud kitchens to make the choices based on real consumption data. With the use of Vumonic’s real-time analytics, cloud kitchens ensure their survival and profitability by making data-driven decisions. See the chart below:

‍

‍

One of the main ways to optimise the operations is to be able to service different types of cuisines / brands from the same location. This helps the cloud kitchens to address different occasions and consumers and maximise their throughput all day.

‍

Let us take this as an example  – If a cloud kitchen has developed brands for Idlis and Burgers - they can keep serving customers throughout the day! As we have a large volume of ordering data which we can analyse by different cuts and in this case - “time of the day”. Idlis are mostly ordered prior to 12PM and Burger volume maximises in the evening! – Thus a creative entrepreneur can use these learning to build a strong business.  

‍

Keep watching this space for peeling off another layer in the evolution of the Food Delivery market in India.

‍

_____________________________________________________________________

Blog written by : Anupam Asthana

Date: 14 Apr 2022

‍

Vumonic Datalabs is a global consumer intelligence platform. We provide high quality, deterministically linked, large structured data that can be used to derive deep consumer,  business and market insights. Our proprietary data pipelines deliver unbiased actual transaction data collected in a privacy secure manner via large global panels.

‍