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[Startup Bharat] How Kota-based Sehat Sathi makes medicines accessible to rural India using tech

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In 2014, Shreyans Mehta’s father – a practising doctor himself, suffered a major slip disc problem, which hampered his movement. This was all the more a challenge as most of his patients waiting for consultation were based in rural areas, and were dependent on the doctor travelling to the area. 

The thought of leveraging technology for the benefit of these patients led  Shreyans and his friends Nikhil Behati and Saida Dhanavath to start MedCords’ product Sehat Sathi out of Kota Rajasthan in May 2017. The tech centre is based out of Hyderabad. 

MedCords provides accessible, affordable, efficient, and quick healthcare services by digitising the medical stores and leveraging technology. To understand the market, the duo went to 12 villages where they provided checkups and follow ups on alternate days. 

Setting up the network 

“We take pride in the fact that in those 12 days, we provided consultations to 2500 patients of which 2000 came back for follow-up and were left with a satisfied smile. It was then that we had the Eureka moment of scaling it up to reach every nook and corner of the country. The initial solution being operationally intensive proved difficult, hence we started focusing on making it technology based to scale it,” says Shreyans.

“This is helping us provide real-time healthcare services to the citizens expeditiously and reliably. We are doing this with a very dependable network of medical stores and doctors. The challenge we initially faced was the absence of a benchmark which could be taken as an example,” says Shreyans.  

Challenges of the market 

The biggest issue was access to technology, specifically smartphones in smaller towns and  villages and awareness about how to use them. The second was the pharmacies’ fear of being replaced by big corporate pharmas. 

But in spite of everything, we realised the incessant need for the solution we were providing. 

Our research findings were grim – 

  1. 80 percent of the people living in the villages in India are forced to travel nearly 60 kms for one consultation.
  2. Out of pocket expenditure on medical services of the total expenditure is 63.5 percent. 
  3. More than 85 percent in India still carry their medical records in hard copies, and cannot organise it digitally.

 

Shreyans explains they realised the dwindling healthcare situation after extensive research spanning three years across 800 villages of Rajasthan, MP, UP, and Bihar (with the team visiting various community and primary health care centres and hospitals, and interacting with thousands of people on the ground). The duo encountered two failed pilots before identifying major challenges with respect to healthcare. They began developing MedCords in late 2016, and went live in May 2017. 

“For every population of 1800, there is one pharmacy. In total, there are 1.6 million pharmacies that cater to 50 million of the population in India. In the smaller cities and villages where healthcare facilities are limited, the local pharmacies are the best alternative or as they are called colloquially there, ‘aadha doctor’ (half a doctor),” says Shreyans. 

Building the pharmacies 

Making these pharmacies digital helped in making them a last-mile access point for these patients. Now, the stores could convert themselves as e-clinic without any extra cost as well as get doctor consultations for patients in smaller cities and villages without patients having to necessarily travel long distances for consultations.

The advantages of Sehat Saathi is that it is an:

  1. Asset-light business model built to scale
  2. No cost of inventory and logistics; end-to-end tech enabled ecosystem
  3. State-of-the-art technology and in-house product development with minimal dependence on external vendors
  4. Completely tech and marketing oriented with no cost of operation 

How does it work?

“Currently, we are targeting 1.6 million retail medical stores. In the current ecosystem, one medical store exists for a population of 2000 throughout India. Retail pharmacies are the key clients for Sehat Sathi. We don’t charge anything from these pharmacies, and they are our brand ambassadors who recommend doctors on the platform, help build trust in the entire ecosystem to help more people start using the platform,” says Shreyans

According to Shreyans, Sehat Sathi has been designed such that it caters to all the needs to help digitise and develop the medical store business. The platform – 

  1. Connects customers to relevant stakeholders in their area to fulfill their medicine delivery orders through Aayu (partner app for consumers).
  2. Becomes an e-clinic and provides online consultation with doctors
  3. Helps these medical stores stock medicines direct from the distributors 
  4. Helps with loans for pharmacy expansion 
  5. Has several big brands like Beardo, Oziva, and Himalaya partner with the pharmacies 

Covid impact 

When several e-pharmacies were semi-operational during the peak of the pandemic, these physical pharmacies were the go-to point for everyone

“Our analysis of the situation led us to develop a platform called Sehat Sathi (Aayu partner app) which was developed for these pharmacies so they could connect with their customers residing nearby online, and deliver them medicines, and get online doctor consultation for the patients. With the help of Sehat Sathi, these pharmacies became a part of the healthcare infrastructure to provide healthcare in the fastest way possible,” says Shreyans

The product has evolved exponentially, and they now have 40,000+ pharmacies onboard in over 13 states, with all the growth organically driven. 

Team and revenue 

Shreyans and Nikhil were childhood friends who used to discuss extensively on how to improve the healthcare system , owing to their own personal experiences in inefficient healthcare services and its skewed access. 

While Shreyans came from a family of doctors, Nikhil, who lived right next to the biggest hospital in the city, was a daily witness to the plights of patients. 

Nikhil discussed this with Saida and he too agreed to having bad experiences in healthcare services in Telangana. Over a period of time, the conviction to solve this problem became stronger. 

The duo decided to act on the matter, and built a basic version of their idea, proving the need for it, and kept evolving along the way. What started this way, now stands at 150+ strong employee base. 

“We have clocked a revenue of approximately Rs 1 crore in FY’21 so far; while our focus has been majorly on building the store network first and increase their income and then charge on the additional revenue opportunities generated for them and from brand partnerships. As of date, our overall medicine sales is approximately Rs 8 crore per month from our network and we have increased sales of our individual pharmacies by 33,000,” says Shreyans.

Funding and future 

Sehat Saathi has raised funds from Infoedge, Waterbridge , Astarc, RVCF, US based Village Global, Earls-field, Director of Policy Bazaar, Founders of NoBroker, and Anand Chandrasekaran. Currently, healthcare providers like Fortis and many others are focussed on the supply side. The projected growth in the market, which is growing at a Compounded Annual Growth Rate (CAGR) of 23 percent, there are startups like Tattvan and Medikabazaar in the same space. 

“After Rajasthan, we are currently expanding to Uttar Pradesh. Going forward, we plan to have more than 5 million users and digitise more than half a million medical stores by 2022. 

We are developing an Uber-like model for doctors (doctor aggregator platform), where they can earn by consulting patients, on-demand and availability, and patients, on the other hand, will get to reach doctors at just a click of a button,” says Shreyans.

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Cyber Monday shopping expected to set record but annual growth has slowed | Adobe

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Cyber Monday shopping sales hit at least $6.3 billion through part of the day in the U.S. today, according to the latest online shopping data from Adobe Analytics.

It’s not unusual for Cyber Monday and Black Friday online shopping results to break records, but it this economic climate it’s encouraging to see it happen. Still, growth has slowed from 2021 and 2020 holiday seasons.

Consumers spent $6.3 billion up through 3:00 pm Pacific time for Cyber Monday. Adobe expects that when the final tally is in, consumers will spend between $11.2 billion and $11.6 billion for the day, making Cyber Monday the biggest online shopping day of the year (and of all time).

Today, the top 15 hot sellers (not in ranked order) have included Legos, Hatchimals, Disney Encanto, Pokémon cards, Bluey, Dyson products, strollers, Apple Watches, drones, and digital cameras. Gaming consoles also remain popular, along with games including Mario Party, FIFA 23, Madden 23 and Call of Duty: Modern Warfare II.

Over the past weekend, the top sellers were included Hot Wheels, Cocomelon, Bluey, Disney Encanto, L.O.L. Surprise dolls, Roblox, and Fortnite in the toys category. Nintendo Switch, Xbox Series X and PlayStation 5 remain the top selling gaming consoles, with popular games including FIFA 23, God of War Ragnarök, Call of Duty: Modern Warfare II, Madden 23, and NBA 2k23. Other hot sellers included Apple iPads, Apple MacBooks, digital cameras, Roku devices, drones, gift cards and Instapots.

Black Friday online shopping sales were $9.12 billion, up 2.3% from a year ago, and Thanksgiving itself came in at $5.29 billion, up 2.9% from a year ago. Those were above Adobe’s projections. Last year, consumers spent $10.7 billion on Cyber Monday.

Strong consumer spend has been driven by net-new demand, and not just higher prices. The Adobe Digital Price Index, which tracks online prices across 18 product categories (complements the Bureau of Labor Statistics’ Consumer Price Index, which also includes prices for offline only products and services like gasoline and rent) shows that prices online have been nearly flat in recent months (down 0.7% YoY in October 2022).

Adobe Analytics says Cyber Monday will set a record.

Adobe’s numbers are not adjusted for inflation, but if online inflation were factored in, there would still be growth in underlying consumer demand, the company said.

On a category basis, toys were a major growth driver in the days leading up to Cyber Monday, with online sales up 452% over the average day in October 2022. Appliances (up 305%) and baby/toddler products (up 289%) also saw strong demand, in addition to electronics (up 276%) and apparel (up 258%).

Shoppers will find record discounts today for computers (peaking at 27% off listed price). Deals will also be found in nearly all categories tracked, including apparel (19%), toys (33%), electronics (25%), sporting goods (16%), televisions (15%), and furniture (11%). Those looking to buy an appliance should consider waiting until Thursday (December 1), when discounts are set to peak at 18% on average.

Weekend spending remained strong

Consumers spent over a Black Friday’s worth of ecommerce over the weekend at $9.55 billion, up 4.4% YoY ($4.59 billion on November 26, up 2.6% YoY / $4.96 billion on November, up 6.1% YoY). Season-to-date (November 1 to November 27), consumers have spent a total of $96.42 billion online, up 2.1% YoY.

And while the big days (Thanksgiving Day, Black Friday) have reached new heights, consumers spent at record levels all season. Since November 1, shoppers spent over $2 billion every single day, with 19 days above $3 billion in online spend. Broad, early discounts were the main drivers for the shift in consumer spending.

“Shoppers have seen massive discounts this past week, which is the exact opposite situation from last season when supply chain constraints kept prices elevated,” said Vivek Pandya, lead analyst at Adobe Digital Insights, in a statement. “While discounting will have an impact on margins for retailers, it is also driving a level of demand that can help brands build long-term loyalty and net some short-term gains.”

Additional Adobe Analytics Insights

Over the weekend, online sales of toys were up 383% (compared to average daily sales for the category in October 2022), with baby toys seeing strong demand (up 252%). Other categories that surged over the weekend include jewelry (up 230%), sporting goods (up 239%), and apparel (up 217%).

With online spending hitting new records and inflation impacting consumers, flexible payments have become a big story this season. In the last week (November 21 to November 27), “buy now, pay later” orders have risen 68% and revenue has increased 72%, when compared to the week prior.

Over the weekend, smartphones drove over half of online sales for the first time (52%, up from 48% last year). Adobe expects mobile shopping to dip on Cyber Monday however, based on historical trends. Many people are back at work and using laptops, which will be the preferred device for shopping online.

Forecast for Cyber Week

Adobe expects Cyber Week (the five days from Thanksgiving Day through Cyber Monday) to generate $34.8 billion in online spend, up 2.8% YoY, and represent 16.3% share of the full November through December holiday season.

Cyber Monday is expected to remain the season’s and year’s biggest online shopping day, bringing in between $11.2 billion and $11.6 billion. Black Friday generated a record $9.12 billion in online spend, up 2.3% YoY, while Thanksgiving brought $5.29 billion in online spend, up 2.9% YoY.

Adobe analyzes direct consumer transactions online. The analysis covers over one trillion visits to U.S. retail sites, 100 million SKUs, and 18 product categories.

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Snowflake 101: 5 ways to build a secure data cloud 

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Today, Snowflake is the favorite for all things data. The company started as a simple data warehouse platform a decade ago but has since evolved into an all-encompassing data cloud supporting a wide range of workloads, including that of a data lake

More than 6,000 enterprises currently trust Snowflake to handle their data workloads and produce insights and applications for business growth. They jointly have more than 250 petabytes of data on the data cloud, with more than 515 million data workloads running each day.

Now, when the scale is this big, cybersecurity concerns are bound to come across. Snowflake recognizes this and offers scalable security and access control features that ensure the highest levels of security for not only accounts and users but also the data they store. However, organizations can miss out on certain basics, leaving data clouds partially secure. 

Here are some quick tips to fill these gaps and build a secure enterprise data cloud.

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1. Make your connection secure

First of all, all organizations using Snowflake, regardless of size, should focus on using secured networks and SSL/TLS protocols to prevent network-level threats. According to Matt Vogt, VP for global solution architecture at Immuta, a good way to start would be connecting to Snowflake over a private IP address using cloud service providers’ private connectivity such as AWS PrivateLink or Azure Private Link. This will create private VPC endpoints that allow direct, secure connectivity between your AWS/Azure VPCs and the Snowflake VPC without traversing the public Internet. In addition to this, network access controls, such as IP filtering, can also be used for third-party integrations, further strengthening security.

2. Protect source data

While Snowflake offers multiple layers of protection – like time travel and fail-safe – for data that has already been ingested, these tools cannot help if the source data itself is missing, corrupted or compromised (like malicious encrypted for ransom) in any way. This kind of issue, as Clumio’s VP of product Chadd Kenney suggests, can only be addressed by adopting measures to protect the data when it is resident in an object storage repository such as Amazon S3 – before ingest. Further, to protect against logical deletes, it is advisable to maintain continuous, immutable, and preferably air-gapped backups that are instantly recoverable into Snowpipe.

3. Consider SCIM with multi-factor authentication

Enterprises should use SCIM (system for cross-domain identity management) to help facilitate automated provisioning and management of user identities and groups (i.e. roles used for authorizing access to objects like tables, views, and functions) in Snowflake. This makes user data more secure and simplifies the user experience by reducing the role of local system accounts. Plus, by using SCIM where possible, enterprises will also get the option to configure SCIM providers to synchronize users and roles with active directory users and groups.

On top of this, enterprises also should use multi-factor authentication to set up an additional layer of security. Depending on the interface used, such as client applications using drivers, Snowflake UI, or Snowpipe, the platform can support multiple authentication methods, including username/password, OAuth, keypair, external browser, federated authentication using SAML and Okta native authentication. If there’s support for multiple methods, the company recommends giving top preference to OAuth (either snowflake OAuth or external OAuth) followed by external browser authentication and Okta native authentication and key pair authentication.

4. Column-level access control

Organizations should use Snowflake’s dynamic data masking and external tokenization capabilities to restrict certain users’ access to sensitive information in certain columns. For instance, dynamic data masking, which can dynamically obfuscate column data based on who’s querying it, can be used to restrict the visibility of columns based on the user’s country, like a U.S. employee can only view the U.S. order data, while French employees can only view order data from France.

Both features are pretty effective, but they use masking policies to work. To make the most of it, organizations should first determine whether they want to centralize masking policy management or decentralize it to individual database-owning teams, depending on their needs. Plus, they would also have to use invoker_role() in policy conditions to enable unauthorized users to view aggregate data on protected columns while keeping individual data hidden.

5. Implement a unified audit model

Finally, organizations should not forget to implement a unified audit model to ensure transparency of the policies being implemented. This will help them actively monitor policy changes, like who created what policy that granted user X or group Y access to certain data, and is as critical as monitoring query and data access patterns. 

To view account usage patterns, use system-defined, read-only shared database named SNOWFLAKE. It has a schema named ACCOUNT_USAGE containing views that provide access to one year of audit logs.

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WhatsApp rolls out new ‘Message Yourself’ feature globally • TechCrunch

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To get a roundup of TechCrunch’s biggest and most important stories delivered to your inbox every day at 3 p.m. PDT, subscribe here.

We’re joining the Cyber Monday fun with 25% off annual subscriptions to TechCrunch+ content and analysis starting today until Wednesday, November 30. Plus, today only, get 50% off tickets to discover the vast unknown and attend TechCrunch Sessions: Space in Los Angeles!

Okay, we haven’t done a newsletter since Wednesday, and while the U.S. team was chillin’ like villains, the rest of the team was hard at work, so here’s some of the highlights from the last half-week of TechCrunchy goodness! — Christine and Haje

The TechCrunch Top 3

  • Talking to yourself just went digital: Instead of having that internal monologue stay in your head, now you can play out all of your thoughts to yourself in WhatsApp, Jagmeet writes. The messaging platform began rolling out an easier way to talk to yourself today after completing beta testing.
  • Great Wall of porn: That’s how Rita and Catherine describe the bot surge in China that is making it difficult to get any legitimate Twitter search results when trying to find out something about Chinese cities. Why, you ask? Rita writes that “the surge in such bot content coincides with an unprecedented wave of (COVID) protests that have swept across major Chinese cities and universities over the weekend.”
  • Your calendar, only more productive: Get ready for your calendar to be more than just a place to record things you have to do that day. Romain writes about Amie, a startup that grabbed $7 million to link your unscheduled to-do list with your calendar. The app also enables users to be social with coworkers.

Startups and VC

Dubai-based mass transit and shared mobility services provider SWVL has carried out its second round of layoffs, affecting 50% of its remaining headcount, Tage reports. The news is coming six months after SWVL laid off 32% (over 400 employees) of its workforce in a “portfolio optimization program” effort geared toward achieving positive cash flow next year.

There’s a couple of new funds in town, too! Harri reports that Early Light Ventures plots a second, $15 million fund for software ‘underdogs,’ while Mike writes that BackingMinds raises a new €50 million fund to fund normally overlooked entrepreneurs. He also writes about Pact, an all-women led VC for mission-driven startups, backed by Anne Hathaway.

And we have five more for you:

Lessons for raising $10M without giving up a board seat

Blackboard showing soccer strategy

Image Credits: Ihor Reshetniak (opens in a new window) / Getty Images

Over the last two years, intelligent calendar platform Reclaim.ai raised $10 million “using a more incremental approach,” writes co-founder Henry Shapiro.

“We’ve done all this without giving up a single board seat, and Reclaim employees continue to own over two-thirds of the company’s equity,” rejecting conventional wisdom that founders should “raise as much as you can as fast as you can.”

In a TC+ post, Shapiro reviews the process they used to identify follow-on investors, shares the email template used to pitch the SAFE, and explains why “a larger cap table means more founder control.”

Three more from the TC+ team:

TechCrunch+ is our membership program that helps founders and startup teams get ahead of the pack. You can sign up here. Use code “DC” for a 15% discount on an annual subscription!

Big Tech Inc.

Amazon’s recent cost-cutting measures seem to be affecting more than just its delivery business. Manish writes that the company is shutting down its wholesale distribution business, called Amazon Distribution, in India. Amazon had started this unit to help neighborhood stores secure inventory. The company didn’t say why it was closing this particular business down, but Manish notes that this is the third such Amazon unit to be shuttered in India.

Meanwhile, Natasha L reports that Meta has gotten itself into trouble again with the European Union’s General Data Protection Regulation (aka, the agency that regulates data protection). Facebook’s parent company is being hit with $275 million in penalties for what the agency said was breaches in data protection that resulted in some 530 million users’ personal information being leaked.

Now enjoy six more:



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