Even after 2 years, Modi govt has failed to put in place a simple GST system: CAG

Mumbai, Jan 23: Rashmi Sahijwala never expected to start working at the age of 59, let alone join India’s gig economy—now she is part of an army of housewives turning their homes into “cloud kitchens” to feed time-starved millennials.

Asia’s third-largest economy is battling a slowdown so sharp it is creating a drag on global growth, the International Monetary Fund said Monday, but there are some bright spots.

The gig economy, aided by cheap mobile data and abundant labour, has flourished in India, opening up new markets across the vast nation.

Although Indian women have long battled for access to education and employment opportunities, the biggest hurdle for many is convincing conservative families to let them leave home.

But new apps like Curryful, Homefoodi, and Nanighar are tapping the skills of housewives to slice, dice and prepare meals for hungry urbanites from the comfort of their homes.

The so-called cloud kitchens—restaurants that have no physical presence and a delivery-only model—are rising in popularity as there is a boom in food delivery apps such as Swiggy and Zomato.

“We want to be the Uber of home-cooked food,” said Ben Mathew, who launched Curryful in 2018, convinced that housewives were a huge untapped resource.

His company—which employs five people for the app’s daily operations—works with 52 women and three men, and the 31-year-old web entrepreneur hopes to get one million female chefs on-board by 2022.

“We usually train them in processes of sanitisation, cooking, prep time and packaging... and then launch them on the platform,” Mathew told news agency.

One of the first housewives to join Curryful in November 2018 shortly after its launch, Sahijwala was initially apprehensive, despite having four decades of experience in the kitchen.

But backed by her children, including her son who gave her regular feedback about her proposed dishes, she took the plunge.

Since then, she’s undergone a crash course in how to run a business, from creating weekly menus to buying supplies from wholesale markets to cut costs.

The learning curve was steep and Sahijwala switched from cooking everything from scratch to preparing curries and batters for breads in advance to save time and limit leftovers.

She even bought a massive freezer to store fruits and vegetables despite her husband’s reservations about the cost.

“I told him that I am a professional now,” she told news agency.

‘Internet restaurants’

Kallol Banerjee, co-founder of Rebel Foods which runs 301 cloud kitchens backing up 2,200 “internet restaurants”, was among the first entrepreneurs to embrace the concept in 2012.

“We could do more brands from one kitchen and cater to different customer requirements at multiple price points,” Banerjee told AFP.

The chefs buy the ingredients, supply the cookware and pay the utility bills.

The apps—which make their money through charging commission, such as more than 18 percent per order for Curryful—offer training and supply the chefs with containers and bags to pack the food in.

Curryful chef Chand Vyas, 55, spent years trying to set up a lunch delivery business but finally gave up after failing to compete with dabbawalas, Mumbai’s famously efficient food porters.

Today Vyas works seven hours a day, five days a week in her kitchen, serving up a bevy of Indian vegetarian staples, from street food favourites to lentils and rice according to the app’s weekly set menus.

“I don’t understand marketing or how to run a business but I know how to cook. So, the current partnership helps me focus on just that while Curryful takes care of the rest,” Vyas told AFP.

She pockets up to $150 (Rs 10,000 approx) a month after accounting for the commissions and costs, but hopes to earn more as the orders increase.

In contrast, a chef at a bricks-and-mortar restaurant takes home a monthly wage of between $300 (Rs 20,000 approx) and $1,000 (Rs 70,000) approx for working six days a week.

With India’s cloud kitchen sector expected to reach $1.05 billion by 2023, according to data platform Inc42, other companies are also keen to get a slice of the action.

Swiggy, for example, has invested 2.5 billion rupees ($35.3 million) in opening 1,000 cloud kitchens across the nation.

Back in her Mumbai kitchen, Sahijwala is elated to have embarked on a career at an age when her contemporaries are eyeing retirement.

Over the past year, she has seen her profit grow to $200 (Rs 15,000 approx) a month, but more importantly, she said, “My passion has finally found an outlet.

“I am just glad life has given me this chance.”

New Delhi, Fevb 10: Of the countries most at risk of importing coronavirus cases, India ranks 17th, researchers have found on the basis of a mathematical model for the expected global spread of the virus that originated in China's Wuhan area in December 2019.

So far, India has reported three coronavirus positive cases -- all from Kerala.

Among the airports in India, the Indira Gandhi International Airport in New Delhi is most at risk, followed by airports in Mumbai, Kolkata, Bengaluru, Chennai, Hyderabad and Kochi, according to the model.

The new model for predicting global novel coronavirus cases has been developed by researchers from Humboldt University and Robert Koch Institute in Germany.

"The spread of the virus on an international scale is dominated by air travel," said the study.

"Wuhan, the seventh largest city in China with 11 million residents, was the relevant major domestic air transportation hub with many connecting international flights before the city was effectively quarantined on January 23, 2020, and the Wuhan airport was closed. By then the virus had already spread to other Chinese provinces as well as other countries," it added.

The researchers said that it is possible to estimate how likely it is that the virus spreads to other areas by looking at air travel passenger numbers.

"The busier a flight route, the more probable it is that an infected passenger travels this route. Using these probabilistic concepts, we calculate the relative import risk to other airports. When calculating the import risk, we also take into account connecting flights and travel routes that involve multiple destinations," said the study.

The top 10 countries and regions at risk of importing coronavirus cases are: Thailand, Japan, South Korea, Hong Kong, Taiwan, USA, Vietnam, Malaysia, Singapore and Cambodia, according to the model.

While Thailand's national import risk is 2.1%, it is 0.2% for India, found the research.

The foundation of the model is the worldwide air transportation network (WAN) that connects approximately 4,000 airports with more than 25,000 direct connections.

The model accounts for both, the current distribution of confirmed cases in mainland China as well as airport closures that were implemented as a mitigation strategy.

This network theoretic model is based on the concept of effective distance and is an extension of a model introduced in the 2013 paper "The Hidden Geometry of Complex, Network-Driven Contagion Phenomena" published in the journal Science.

The current outbreak of the 2019-nCoV virus started in Wuhan city, Hubei province, China. While the first cases were reported as early as December 8, 2019, the outbreak gained global attention on December 31, 2019, when the World Health Organization was alerted to "several cases of pneumonia" by an unknown virus.

The new virus was soon identified as a novel coronavirus and named 2019-nCOV. It belongs to the family of viruses that include the common cold and viruses such as SARS and MERS. On January 20, 2020, it was confirmed that the coronavirus can be transmitted between humans, greatly increasing the risk of a global spread.

The death toll due to the novel coronavirus outbreak in China has increased to 811 on Sunday, surpassing that of the Severe Acute Respiratory Syndrome (SARS) epidemic in 2003.

Although about 20 countries have confirmed cases, China has accounted for about 99 per cent of those infected. The first foreign victims of the virus both died on Saturday in Wuhan.