Fashinza is Debuting AI and Tech-based Supply Chain Solutions at Las Vegas' Magic Fashion Trade Show 2022

• Fashinza to showcase tech-based smart apparel manufacturing solutions to help brands and manufacturers work together through a unique digitized supply chain powered by AI and technology
• Fashinza’s smart design-to-delivery platform solves most major manufacturing problems for global brands and retailers
• Platform provide cost savings through improvement of unit economics on the supply side by leveraging “unutilized capacity” and “optimizing production efficiency”

Fashinza, an AI-driven B2B marketplace and tech-enabled apparel manufacturing platform for fashion brands, retailers and manufacturers will debut its latest tech-based product offerings and solutions at the MAGIC Fashion Trade Show 2022 in Las Vegas, Nevada from August 8 to August 10, 2022. The Fashinza team, including the founders, will be onsite to showcase solutions designed to help brands and manufacturers work together directly through a unique digitized supply chain.

Using AI and Data Science to change the way brands source products

Fashinza’s “one-stop apparel manufacturing platform” helps brands connect with manufacturers through AI-driven supplier matching. It offers brands the ability to place bulk orders with just one click and discover upcoming fashion trends through the use of a state-of-the-art trend forecasting algorithm. With recent updates to the platform, MAGIC Fashion Trade Show participants will be the first to see the latest from the manufacturing platform, including:

• Thousands of the latest designs from different categories from womenswear to menswear, athleisure, outerwear and kids wear
• How the platform provides Design to Delivery support to fashion brands and retailers
• How Fashinza has enabled Smart Digital factories for a seamless experience with manufacturers
• AI & Data-Driven Trend Forecasting including 45-day production turnaround
• Its repository of stock fabrics and patterns for fast and low-effort Design to Delivery options
• End-to-end shipping to anywhere in the world 

Customers can use the Fashinza app to track time and action calendars, a tool used in the apparel industry to stay up to date on manufacturing milestones to ensure timely delivery. 

(L-to-R) Jamil, Pawan and Abhishek

“Business-to-business marketplaces are here to stay and current systems are broken. We do not envision a world 20 years from now where brands would need to make 100 calls, send 200 emails, and wait six months for a bulk order,” says Pawan Gupta, CEO and co-founder. “We are solving real problems that are bringing in major results for our customers.” 

The pandemic exposed significant structural issues in the global apparel industry, which relies on months of long lead times, considerable volumes to drive down costs, and massive inventory problems. In addition, supply chains are mainly managed on emails and spreadsheets, resulting in all-too-common industry problems, like delayed deliveries and long turnaround times. 

Fashinza, which recently raised a $100 million in series-B funding led by Prosus Ventures (f.k.a. Naspers Ventures), is revolutionizing the apparel manufacturing industry through technology-led intervention, taking on industry problems head-on while fueling a culture of transparency, efficiency, sustainability and automation. For additional information, please visit www.fashinza.com.  

Fashinza is an AI-driven B2B marketplace for global fashion supply chains. They make it exceptionally easy for international brands to access design to delivery in as fast as 4 weeks with very low minimums. Fashinza offers access to a transparent production process that can be monitored 24/7 with 100% control enabled by their revolutionary FactoryOS. Their goal is to create a sustainable (i.e. net positive) supply chain by 2030 and empower SMB manufacturers with Industry 4.0 solutions. 

Fashinza has a roster of over 250 factories that currently serves 200+ brands across 6 countries, including the United States, Canada, UAE and India. The company was co-founded in 2020 by serial entrepreneurs Pawan Gupta, Abhishek Sharma, and Jamil Ahmad.

Fashion Discovery Platform GetNatty Raises Seed Funding; Appoints Sandeep Bhagava on the Advisory Board

Fashion focused, O2O designer brands aggregator startup and fashion discovery platform with AI enabled personal stylist, GetNatty has raised an undisclosed sum as a part of its seed round, that was led by Abhay Kumar - CMD of Grihapravesh Buildteck, Binod Choubey, Firoze Sethna and Parth Patel, all of whom are entrepreneurs turned investors.

The company has appointed media and entertainment industry veteran Sandeep Bhargava on the board of advisors who is credited to launch the motion picture business of the Network 18 group in India, and within a year he had listed the company on the AIM exchange in London and raised a film fund of USD 110 Million.

“GetNatty is committed to building a unique and scalable business in the fashion space and could very well become the next Unicorn that is designed in India and made for the world” - Sandeep Bhargava 

“One of the main reasons for investing in GetNatty is because of the strong work ethics, honesty and sincerity of its founders and their ability to pull talented people from diverse backgrounds to work towards a shared vision” - Abhay Kumar, Lead Investor 

The proceeds from the round of funding will be used by the two year old company to build out the technology arm of the business and bring in new revenue channel formats that will cater to the country's burgeoning fashion design ecosystem.

“We will continue to experiment and bring in new revenue formats, be it in the form of new business channels, fashion events, geographies and product launches which will add real value to the fashion community in India” - Kaizad Hansotia, Founder & CEO of GetNatty 

[caption id="attachment_133004" align="aligncenter" width="1024"] Kaizad Hansotia[/caption]

Founded on 8th March 2016, GetNatty aggregates talented fashion designers under one roof and provides an easy access to the end user to discover and shop these unique styles through an AI powered customer experience that is convenient, reliable and seamless both online and online to offline. Further, we intend to provide predictive analytics, demand planning and business intelligence tools to our community of designers to help them scale up.

“Essentially our aim is to create a robust online and offline platform and a solid infrastructure to enable designers and SME fashion entrepreneurs to acquire more customers, build scale and go global” - Bheshaj Joshi, Co-Founder & COO of GetNatty 

Apart from its online marketplace GetNatty.com, the startup also takes its designers to participate in multiple exhibitions every month in Tier 1 and Tier 2 cities to acquire customers and create brand recall value. With over 50+ exhibitions participated till date, GetNatty has successfully onboarded over 200+ designers from 20+ cities of India and is on track to acquire over 1000+ designers and 100k+ users over the course of the next 6-12 months and will be coming up with its own 1 day Experiential Pop-up Show in Mumbai this November at Blue Sea Banquets, in Worli.

An Artificial Intelligence Enabled 'Sari' Created By Fashion Designer Gaurav Gupta and IBM

Artificial Intelligence (AI) is climbing up the tech popularity ladder like nothing before. From aviation to writing to shopping, AI is slowly but steadily entering various verticals of our lives. And now, IBM and Vogue have together made something that marks the perfect marriage of Indian fashion and AI.

This year, Vogue decided to host its first ever Vogue Women of the Year Awards to celebrate trailblazing men and women across the globe. In order to celebrate the special occasion, the firm decided to get IBM’s cognitive system, Watson, together with fashion world biggie Gaurav Gupta to create world’s first ever artificial intelligence-inspired sari-gown, which was worn by the award’s emcee and Emmy Award-winning actress Archie Panjabi last night.

For the uninitiated, this isn’t the first time that IBM Watson has done something like this with fashion. The platform had earlier collected worldwide recognition for co-creating Karolina Kurkova’s top rated Met Gala dress with the Marchesa duo. This time, the task on the hand was to search for dominant patterns and colours from the regions that all the awardees come from. In order to make this AI sari-gown a reality, hashtags of several regions and over five million images were scoured. Findability Sciences, which is an IBM ecosystem partner, was then assigned the task of extracting from those photographs specific context around shapes, patterns and colours that were most popular. The findings were then shared with Gupta to work on.



Gupta used a custom-built IBM application that the company infused with its Watson technology to feed in his inspiration behind the AI masterpiece. The tool helped with machine-generated patterns that Watson’s AI engine created as well as dominant human-created patterns from its database. All this finally led to the creation of a first-of-its-kind AI sari-gown with hybrid replete with LED lights.

Being powered by IBM IoT, the sari’s LED lights changes its colour based on each of the award winner’s personality. In order to make this a possibility, IBM made used of Watson’s Personality Insights API to carry out an extensive investigation of each awardee through their social media handles. The information derived from it was then mapped against seven human traits – open-mindedness and originality, confidence and problem solving, effectiveness in organizing thoughts, action orientation, conscientiousness, social energy, and openness to possibilities and alternatives. The aforementioned traits were then mapped to a colour most associated with them.

Each of the awardee was also given a specially designed scroll, which had all the personality traits of the person as analyzed by IBM Watson.

Not only this, the guests attending the event also got a chance to be the part of the AI experience. Gupta and IBM Watson’s master AI creation were also used as an interactive art installation at the award ceremony. Attendees could find the colour that best described them by simply entering their Twitter handle or choosing one from the pre-populated list of famous Indian women.

It’s great to see Vogue recognising the power of women and celebrating their achievements by holding a special award ceremony. We hope that Vogue continues its tryst with technology and we get to see more of such innovative creations in the future.

This development was first reported in Vogue India.

An Artificial Intelligence Enabled 'Sari' Created By Fashion Designer Gaurav Gupta and IBM

Artificial Intelligence (AI) is climbing up the tech popularity ladder like nothing before. From aviation to writing to shopping, AI is slowly but steadily entering various verticals of our lives. And now, IBM and Vogue have together made something that marks the perfect marriage of Indian fashion and AI.

This year, Vogue decided to host its first ever Vogue Women of the Year Awards to celebrate trailblazing men and women across the globe. In order to celebrate the special occasion, the firm decided to get IBM’s cognitive system, Watson, together with fashion world biggie Gaurav Gupta to create world’s first ever artificial intelligence-inspired sari-gown, which was worn by the award’s emcee and Emmy Award-winning actress Archie Panjabi last night.

For the uninitiated, this isn’t the first time that IBM Watson has done something like this with fashion. The platform had earlier collected worldwide recognition for co-creating Karolina Kurkova’s top rated Met Gala dress with the Marchesa duo. This time, the task on the hand was to search for dominant patterns and colours from the regions that all the awardees come from. In order to make this AI sari-gown a reality, hashtags of several regions and over five million images were scoured. Findability Sciences, which is an IBM ecosystem partner, was then assigned the task of extracting from those photographs specific context around shapes, patterns and colours that were most popular. The findings were then shared with Gupta to work on.



Gupta used a custom-built IBM application that the company infused with its Watson technology to feed in his inspiration behind the AI masterpiece. The tool helped with machine-generated patterns that Watson’s AI engine created as well as dominant human-created patterns from its database. All this finally led to the creation of a first-of-its-kind AI sari-gown with hybrid replete with LED lights.

Being powered by IBM IoT, the sari’s LED lights changes its colour based on each of the award winner’s personality. In order to make this a possibility, IBM made used of Watson’s Personality Insights API to carry out an extensive investigation of each awardee through their social media handles. The information derived from it was then mapped against seven human traits – open-mindedness and originality, confidence and problem solving, effectiveness in organizing thoughts, action orientation, conscientiousness, social energy, and openness to possibilities and alternatives. The aforementioned traits were then mapped to a colour most associated with them.

Each of the awardee was also given a specially designed scroll, which had all the personality traits of the person as analyzed by IBM Watson.

Not only this, the guests attending the event also got a chance to be the part of the AI experience. Gupta and IBM Watson’s master AI creation were also used as an interactive art installation at the award ceremony. Attendees could find the colour that best described them by simply entering their Twitter handle or choosing one from the pre-populated list of famous Indian women.

It’s great to see Vogue recognising the power of women and celebrating their achievements by holding a special award ceremony. We hope that Vogue continues its tryst with technology and we get to see more of such innovative creations in the future.

This development was first reported in Vogue India.

Amazon Has Developed An AI Fashion Designer

Fashion is not something that comes naturally to a lot of us. This is why we have the fashion industry guiding us about the latest trends, what not to wear, what definitely not to wear and what not to wear with what. In order to bring a certain calm to the chaos of keeping up with these ever-changing fashion trends, global ecommerce superpower Amazon is currently working on replacing some burden of stylists and designers with AI algorithms. Yes, AI for fashion. Sounds fashionably interesting, right?

Reportedly, Amazon is in the midst of meticulously working on several machine-learning systems that if end up working out perfectly can help not only in spotting and reacting to latest fashion trends, but also shape one's own. The AI systems can help Amazon and several other companies in improving their trend tracking activities in other areas of retail, for example, churning out recommendations based on product spotting on social-media postings. The new effort could also help Amazon in expanding its reach in the clothing industry or even dominate it in the near future.

Last week saw Amazon giving us a glimpse of its interest and thought process for the sector by organising workshop on machine learning and fashion. One of the attendees who signed up for the event was, Kavita Bala, a professor at Cornell University. According to her, recent years have seen a whole lot of companies like Amazon investing their time and money in getting a better understanding of how fashion actually develops and grows in the real world. “This is completely changing the industry," she further added in a statement to MIT Technology Review.

The clothing world is currently witnessing a number of retailers making use of popular social networking sites like Facebook, Instagram and Pinterest to keep a track of the quickly changing fashion trends and keep themselves at pace with these changes. For example, there's a Startup called Stitch Fix, which provides personalised recommendations based on a user's social-media activity and preferences.

In the past few years, Amazon has actually worked hard on growing its apparel business. It has invested in developing its own clothing brands, spent money on good-quality photography shots for its products, and debuted its Prime Wardrobe, a novel concept which allows online shoppers to try clothes before actually buying them. It has even developed an app called Echo which gives users feedback on whether a particular outfit works for them or not.

But, one look at all these activities can help one deduce that the company is more incline towards pushing the algorithm agenda into the industry. For instance, recently a group of Israel-based Amazon researchers had successfully invented a machine learning that could deduce whether a particular looks falls in the stylish category by simply analysing a few labels attached to images. The software developed is capable of providing constructive feedback for making some quick adjustments. For the unversed, the machine learning developed is being considered as extremely innovative as usually a computer needs to be fed extensive labelling in order for them to learn from visual information. But, in the social media world, people might not put that many labels.



At Amazon's San Francisco-based research lab, Lab126, a team has been successful in developing an algorithm that is capable of learning about a particular style of fashion simply from images, and then create new items in similar styles right from the beginning. One can say that the algorithm acts as a simple AI fashion designer. They use a cutting-edge tool called a generative adversarial network, or GAN, which were developed by a researcher on the Google Brain team. The GAN consists of two deep neural networks operating in tandem to learn efficiently from raw data. It internalises the properties of a particular style simply by looking at lots of examples, and it can then apply that style to an existing item of clothing. The system might not be as much sophisticated as the fashion industry wants it to be, but it definitely hints towards a revolution in the making.

Both of the aforementioned Amazon efforts were revealed in Amazon's workshop held last week. The event also saw many companies sharing their innovative efforts in the field of fashion and AI. For instance, a team from Indian clothing ecommerce site Myntra demonstrated a program that guesses a person’s correct size for a particular garment from his or her past purchases. Another interesting idea was from a group from the University of Illinois in Urbana-Champaign who showed an algorithm that could help identify fashion-focused social-network accounts.

It seems, AI for fashion is going to become big very soon. Keep watching this space to remain updated about the same.

Amazon Has Developed An AI Fashion Designer

Fashion is not something that comes naturally to a lot of us. This is why we have the fashion industry guiding us about the latest trends, what not to wear, what definitely not to wear and what not to wear with what. In order to bring a certain calm to the chaos of keeping up with these ever-changing fashion trends, global ecommerce superpower Amazon is currently working on replacing some burden of stylists and designers with AI algorithms. Yes, AI for fashion. Sounds fashionably interesting, right?

Reportedly, Amazon is in the midst of meticulously working on several machine-learning systems that if end up working out perfectly can help not only in spotting and reacting to latest fashion trends, but also shape one's own. The AI systems can help Amazon and several other companies in improving their trend tracking activities in other areas of retail, for example, churning out recommendations based on product spotting on social-media postings. The new effort could also help Amazon in expanding its reach in the clothing industry or even dominate it in the near future.

Last week saw Amazon giving us a glimpse of its interest and thought process for the sector by organising workshop on machine learning and fashion. One of the attendees who signed up for the event was, Kavita Bala, a professor at Cornell University. According to her, recent years have seen a whole lot of companies like Amazon investing their time and money in getting a better understanding of how fashion actually develops and grows in the real world. “This is completely changing the industry," she further added in a statement to MIT Technology Review.

The clothing world is currently witnessing a number of retailers making use of popular social networking sites like Facebook, Instagram and Pinterest to keep a track of the quickly changing fashion trends and keep themselves at pace with these changes. For example, there's a Startup called Stitch Fix, which provides personalised recommendations based on a user's social-media activity and preferences.

In the past few years, Amazon has actually worked hard on growing its apparel business. It has invested in developing its own clothing brands, spent money on good-quality photography shots for its products, and debuted its Prime Wardrobe, a novel concept which allows online shoppers to try clothes before actually buying them. It has even developed an app called Echo which gives users feedback on whether a particular outfit works for them or not.

But, one look at all these activities can help one deduce that the company is more incline towards pushing the algorithm agenda into the industry. For instance, recently a group of Israel-based Amazon researchers had successfully invented a machine learning that could deduce whether a particular looks falls in the stylish category by simply analysing a few labels attached to images. The software developed is capable of providing constructive feedback for making some quick adjustments. For the unversed, the machine learning developed is being considered as extremely innovative as usually a computer needs to be fed extensive labelling in order for them to learn from visual information. But, in the social media world, people might not put that many labels.



At Amazon's San Francisco-based research lab, Lab126, a team has been successful in developing an algorithm that is capable of learning about a particular style of fashion simply from images, and then create new items in similar styles right from the beginning. One can say that the algorithm acts as a simple AI fashion designer. They use a cutting-edge tool called a generative adversarial network, or GAN, which were developed by a researcher on the Google Brain team. The GAN consists of two deep neural networks operating in tandem to learn efficiently from raw data. It internalises the properties of a particular style simply by looking at lots of examples, and it can then apply that style to an existing item of clothing. The system might not be as much sophisticated as the fashion industry wants it to be, but it definitely hints towards a revolution in the making.

Both of the aforementioned Amazon efforts were revealed in Amazon's workshop held last week. The event also saw many companies sharing their innovative efforts in the field of fashion and AI. For instance, a team from Indian clothing ecommerce site Myntra demonstrated a program that guesses a person’s correct size for a particular garment from his or her past purchases. Another interesting idea was from a group from the University of Illinois in Urbana-Champaign who showed an algorithm that could help identify fashion-focused social-network accounts.

It seems, AI for fashion is going to become big very soon. Keep watching this space to remain updated about the same.