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This B2B on-demand platform is helping suppliers connect with customers

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In 2016, when IIT Bombay graduate Sonam Motwani was working to expand the capacity of Procter & Gamble’s sanitary napkins, she found herself stuck while trying to solve manufacturing processes. 

“It was challenging to find reliable suppliers in India who could meet quality expectations,” she notes. Sonam is the founder of Mumbai-based Karkhana.io, a B2B (business-to-business) on-demand manufacturing startup.

Even with crores of small and medium enterprises (SMEs), most companies find it difficult to find manufacturers. “For me, that was the turning point, where I started thinking about the manufacturing space more and more. I started my groundwork to understand the reasons for the issues,” Sonam tells YourStory.

According to Sonam, it takes up a lot of effort and micromanagement to sort out the entire procurement process of different manufacturing parts.

This is why large companies have a big sourcing fee for components since they spend a lot of time and resources to manage their inventory with their suppliers. 

“You continuously have to be on calls and emails to get updates. Nothing is streamlined and there’s very little transparency,” she says.

Karkhana.io’s journey began with a simple premise. “Why not have a technology-enabled manufacturing platform that makes it simpler and faster for companies to manufacture or procure these custom parts?” 

These parts are not something that are available off-the-shelf, they have to be built and customised for a company in a certain way. 

Early-Years

Karkhana.io started with a team of three people in 2018 in Mumbai. 

The idea was simple: build a platform that lists small manufacturers, which could then work with large companies to procure their custom products.  

Initially, Karkhana.io’s team started working with startups and companies in the space to figure out the problems and find solutions. 

“When they’re [startups] starting out, they want to build their first prototype, it is difficult for them to find manufacturers who take them seriously and keep the priority for them,” says Sonam. 

This is where Karkhana.io came in. 

“We would have smart people, who would listen to their [startups] problems and figure out manufacturing for them,” she adds. 

Building capabilities

At that point, Karkhana.io wasn’t focused on any one industry or product. 

“But, by doing this exercise, we figured out a bunch of manufacturing processes that everybody needs,” Sonam says. “Most of the manufacturing requirements are sufficed by five- six manufacturing processes.”

Sonam, with her team, started building around these capabilities and raw materials, such as a few types of plastics and metals or other metal alloys that most companies require.

“And similarly, we also started seeing patterns around it. Some industry categories were getting better traction,” says Sonam. 

Today, Karkhana.io has capabilities in CNC machining, high and thin sheet metal fabrication, plastic components both in low volume as well as high volume, 3D printing as well as injection moulding and vacuum casting. 

Karkhana.io has built a supplier base– SMEs – around these processes and materials. 

“Similarly, we figured that the kind of companies,  who generally have the need to outsource their manufacturing and want to focus their own resources on their core offering and  technology behind their products, worked very well for us,” says Sonam. 

Karkhana.io says it would be an apt partner for companies building technology products like electric vehicles, robots, industrial automation, special purpose machines, medical devices. 

The Value Proposition

Currently, the startup, with a team of 40 employees, has close to 500 suppliers spread across technologies and geographies. 

“Our suppliers are limited by the capability to grow the business across different industries and in terms of the workforce they have,” says Sonam. With the platform, they get exposed to business from multiple industries and can scale quickly. 

“We can give them a continuous feed of business. They can continue focusing on running their operations. We also help them with the right kind of processes,” she adds.

For its 50 customers, which includes the likes of P&G, Bosch, Pidilite, Jio, Karkhaana.io is the single source of supply of their product.

“They don’t have to work with each individual supplier for each individual component,” says Sonam. 

Karkhana.io facilitates this interaction through a technology platform, which the suppliers can access. Other aspects of the business, such as billing and quality control are all built into the platform’s technology infrastructure. 

Order-matching

The startup’s engineers work through these SMEs to help them deal with complex projects. 

Karkhana.io says it onboards suppliers, whose revenues fall anywhere between Rs 5 and Rs 150 crore, after rigorous checks and parameters. This helps the startup evaluate their capacity, quality, and competencies. 

For large orders, Karkhana.io says it does not work with small manufacturers. “We have to make sure that there is an appropriate matching, because ultimately our customer also needs reliable output,” Sonam says.

Presently, this process is manual, done by the team at Karkhana.io, but it plans to digitise some part of the process with the data they have collected. 

The road ahead

Sonam is optimistic about the future. “A lot of geopolitical changes are happening now, and a lot of supply chain disruptions. India is getting better placed in becoming the manufacturing ecosystem,” she says. “More companies are looking to establish or grow their supply chains in India.” 

“We are looking at strengthening our supply chain and our supply partners,” she adds. 

Karkhana.io generates revenue via a fee from its customers. The company has raised a seed funding of $1.5 million led by Vertex Ventures Southeast Asia & India in January last year. 

In India, Zetwerk offers similar solutions as Karkhana.io. The startup’s international peers include Xometry, Fictiv and Protolabs.

Edited by Affirunisa Kankudti

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Southeast Asia insurtech Igloo increases its Series B to $46M • TechCrunch

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Igloo, a Singapore-based insurtech focused on underserved communities in Southeast Asia, announced it has raised a Series B extension of $27 million, bringing the round’s total to $46 million. The first tranche of $19 million was announced in March, and led by Cathay innovation with participation from ACA and returning investors OpenSpace.

The newest round was led by the InsuResilience Investment Fund II, which was launched by the German development bank KfW for the German Federal Ministry for Economic Cooperation and is managed by impact investor BlueOrchard. Other lead investors were the Women’s World Banking Asset Management (WAM), FinnFund, La Maison and returning investors Cathay Innovation.

Igloo develops its insurance products and then partners with insurers who underwrite their policies. Igloo currently works with 20 global, regional and local insurers across Southeast Asia. It distributes its insurance products through partnerships, and is partnered with over 55 companies in 7 countries. It now offers 15 products, including policies for gig workers, gamers, cars and farmers in Vietnam, and says it has facilitated more than 300 million policies and increased gross written premiums by 30 times since 2019.

Co-founder and CEO Raunak Mehta told TechCrunch that Igloo decided to raise a Series B extension because of investor interest after the first tranche of funds. The extension will give the startup a multiyear runway and will be used for hiring, infrastructure and merger and acquisitions opportunities.

Mehta said that the penetration rate of insurance in much of Southeast Asia is low, less than $100 USD per capita across Indonesia, Vietnam and the Philippines. Igloo was created to make insurance more affordable and relevant to the needs of communities in Southeast Asia. Igloo distributes insurance products that range from 2 cents USD for phone screen protection to $600 USD for comprehensive motor insurance.

Igloo provides the tech stack for its products across Southeast Asia, which Mehta says means the entire insurance value chain, from product discovery to claims, is available on one platform. This makes it faster for it to brings the policies it distributes to market more quickly, and significantly reduce the operational cost of claims.

Mehta said more than 80% of claims are currently managed in an automated or semi-automated way, and that big data management, along with machine learning and artificial intelligence, has enabled it to reduce anti-selection risks, false positives and fraudulent claims. By bringing down the cost of managing claims, Igloo is able to offer lower premium to customers.

An example of Igloo’s insurance policies include ones for gig economy riders that it sells through its partnership with Foodpanda in Thailand, Singapore and the Philippines, and Lozi and Ahamove Vietnam. Its policy for Foodpanda, called PandaCare, includes motor, personal accident and hospitalization income protection for workers.

Another, more recent one, is is Weather Index Insurance product in Vietnam. The policy uses blockchain-backed smart contracts and automates claims payouts by using pre-assigned values for crop losses caused by weather and other natural events. Igloo says the Weather Index Insurance is Vietnam’s first parametric insurance (or a policy that agrees to make pre-agreed payouts based on trigger events like a flood) and its first integration of smart contracts into insurance.

Igloo also provides products that Mehta says directly or indirectly benefits women, through a partnership with Philinsure in the Philippines. They have distributed more than 5 million policies that cover credit default, personal accident, family relief and natural calamity support to women micro-entrepreneurs and their families. In Vietnam, more than 65% of the agents who use Igloo’s Ignite digital platform to sell insurance policies are women, and they are also the main beneficiaries of the Weather Index Insurance product.

The insurtech’s distribution partners include telecoms like Telkomsel, AIS and Mobifone, and e-commerce platforms like Shopee, Lazada, Bukalapak and JD.ID. It also works with financial service providers, like AEON, Gcash and UnionBank, to sell policies for their customer base, and provides products for insuring goods in transit and protecting fleet drivers through logistics platforms like Ahamove, Shippit, Loship and Locad.

Other Southeast Asia-based insurtechs that want to increase insurance penetration in the region and have raised large Series B rounds include Indonesia’s Fuse and PasarPolis and Thailand’s Sunday.

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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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