January 21, 2022

Makar Sankranti Special Offers on Fooza Foods Private Limited App

Staff Reporter –

On the onset of Makar Sankranti, Fooza envisions to be one of the biggest food delivery platforms for the food lovers. Fooza Foods Private Limited, one of the leading online food delivery apps in Kolkata, celebrates Makar Sankranti to add more to bring the city’s winter to a new level.

Fooza has a variety of offers from Mouchak, Moti Confectionery, K.C. Das Pvt Ltd, and Satish Chandra Das to celebrate this memorable day. Mouthwatering Narkel Patishapta, Gokul Pithey, Nolen Gurer Chanar Payesh from Mouchak or enticing Gur Rossogolla, Joy Nagarer Moya, Nolen Gur, Gur Rasmalai from K.C.Das Pvt can make the Makar Sankranti Evening even more spectacular without without making a whole in the pocket.

Speaking on the same, Mr. Kapil Lohia, CEO, Fooza Foods Private Limited added that, “The spike of Covid 19 has made the beginning of the year quite difficult. The most we can do at this point is satisfy our sweet desire with beautiful sweets on a cold

winter evening. As a result, Fooza has devised enticing incentives while keeping safety in mind in order to make the day memorable. Fooza is commemorating Makar Sankranti this year to provide a grin to everyone with a sweet taste.”

About Fooza: Fooza Foods Private Limited is a new food tech company leading a new wave of innovation in India’s food ordering and delivery business. For our customers, food is happiness! At Fooza, we focus on bringing this happiness to our customers in three key ways: We offer a world of food choices by bringing together multi-cuisine and specialty restaurants, experienced chefs, cloud kitchens, home kitchens all under one roof. A

dedicated delivery network that allows customers to order from a much wider area. Technology that simplifies the food ordering process and incents our customers to use Fooza ahead of our competition. Fooza started operations in Kolkata in Dec 2020 and plans to expand to select Tier 1 and 2 Indian cities using a socially responsible, low-cost, and ultra-local “pod” model.

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