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How you can utilize fashion AI technology in your business

With years of experience at the forefront of AI and computer vision, the OpenCV.ai team boasts unparalleled expertise in applying these technologies to the fashion sector. From automated trend analysis to virtual try-ons, our solutions are tailored to meet the unique needs of the fashion industry.

Online
stores

Street-to-shop AI

Embed street-to-shop technology to increase customer engagement and help your customers find exactly what they're looking for. Who doesn’t want to have jeans like Beyonce? With our help, your users can simply upload photos of the items they want and instantly find similar styles in stores' collections.

Physical
shops

Smart mirrors

Turn your digital screens into smart mirrors that provide a real-time try-on experience. Eliminate fitting room bottlenecks, suggest complementary pieces, and present product information to your customers. Allow them to virtually mix and match outfits, reducing indecision and increasing sales.

Supply
chain

Packaging optimization

Leverage AI fashion software development services to optimize your packaging processes for both business efficiency and customer satisfaction. By predicting the ideal packaging for different products, AI helps reduce waste, lower shipping costs, and increase customer satisfaction.

Body measurements and sizing

Create a smoother and more satisfying shopping experience for your customers with AI-backed body measurements.
Algorithms precisely estimate a person's body measurements and recommend the best-fitting clothing based on the customer's body type. This, in turn, helps to ensure a better fit and minimize return rates.

Customer behavior
tracking

Uncover the power of AI fashion software with fine-grained analytics and extraction of meaningful insights from the store’s video footage. Pose and gaze estimation, as well as object tracking algorithms, monitor customers’ movements, identify popular areas, underutilized sections, and peak hours, and allow you to adjust your marketing, layout, and production decisions accordingly.

Authenticity
check

Say goodbye to counterfeit products, as ML-powered fashion software can quickly and accurately verify the authenticity of fashion items at various points in the supply chain. This not only protects your brand from reputational damage but also ensures that consumers receive and return original products.

Virtual try-on

Employ the full power of generative AI. With AI technology, your customers will be able to try on a wide range of items from the comfort of their own homes — and their virtual clothing image will be indistinguishable from the photos.

Customer analytics

AI-powered algorithms allow collecting fine-grained analytics to build an extensive customer portrait in a completely privacy-preserving and anonymized way. This will help you tailor your sales and literally make them personalized — and earn more.

Sustainability

AI systems use predictive analytics to help you make informed decisions about which items to resale. Plus, with embedded AI, you can minimize production waste, increase the use of sustainable materials, and make it easier to identify and sort garments for resale or upcycling.

Look recommendation

AI analyzes customer data, purchase history, and personal preferences to help you provide your customers with relevant offers to complete the look according to their individual style. Sell more via Cross-selling and get happier customers.

Staff performance

Improve team efficiency with AI fashion software. Computer vision technologies can help you understand how your advisors communicate with and help customers — right down to the detailed execution of a service checklist.

Planogram compliance

AI will track how items are placed on the shelves and quickly adjust the product layout. Place the most profitable items on the top spots, and avoid empty shelves.

Online stores

Street-to-shop AI

Embed street-to-shop technology to increase customer engagement and help your customers find exactly what they're looking for. Who doesn’t want to have jeans like Beyonce? With our technology, users can simply upload photos of the items they want and instantly find similar styles in stores' collections.

Body measurements and sizing

Create a smoother and more satisfying shopping experience for your customers with AI-backed body measurements. Our algorithm precisely estimates a person's body measurements and recommends the best-fitting clothing based on the customer's body type. This, in turn, helps to ensure a better fit and minimize return rates.

Virtual try-on

Employ the full power of generative AI. With AI technology, your customers will be able to try on a wide range of items from the comfort of their own homes — and their virtual clothing image will be indistinguishable from the photos.

Look recommendation

AI analyzes customer data, purchase history, and personal preferencesto help you provide your customers with relevant offers to complete the look according to their individual style.Sell more via Cross-selling and get happier custmers.

Physical shops

Smart mirrors

Turn your digital screens into smart mirrors that provide a real-time try-on experience. Eliminate fitting room bottlenecks, suggest complementary pieces, and present product information to your customers. Allow them to virtually mix and match outfits, reducing indecision and increasing sales.

Customer behavior tracking

Uncover the power of AI fashion software with fine-grained analytics and extraction of meaningful insights from the store’s video footage. Pose and gaze estimation, as well as object tracking algorithms, monitor customers’ movements, identify popular areas, underutilized sections, and peak hours, and allow you to adjust your marketing, layout, and production decisions accordingly.

Customer analytics

AI-powered algorithms allow collecting fine-grained analytics to build an extensive customer portrait in a completely privacy-preserving and anonymized way.  This will help you tailor your sales and literally make them personalized — and earn more.

Staff performance

Improve team efficiency with AI fashion software. Computer vision technologies can help you understand how your advisors communicate with and help customers — right down to the detailed execution of a service checklist.

Planogram compliance

AI will track how items are placed on the shelves and quickly adjust the product layout. Place the most profitable items on the top spots, and avoid empty shelves.

Supply chain

Packaging optimization

Leverage our AI fashion software development services to optimize your packaging processes for both business efficiency and customer satisfaction. By predicting the ideal packaging for different products, AI helps reduce waste, lower shipping costs, and increase customer satisfaction.

Authenticity
check

Say goodbye to counterfeit products, as ML-powered fashion software can quickly and accurately verify the authenticity of fashion items at various points in the supply chain. This not only protects your brand from reputational damage but also ensures that consumers receive and return original products.

Sustainability

AI systems use predictive analytics to help you make informed decisions about which items to resale. Plus, with embedded AI, you can minimize production waste, increase the use of sustainable materials, and make it easier to identify and sort garments for resale or upcycling.

opencv.ai in numbers
How OpenCV.ai paved its way in computer vision
OpenCV.ai has achieved some valuable achievements in the artificial intelligence and computer vision domains, demonstrating to our clients the expertise and commitment of our engineers.
60 Countries where our solutions are used
6 Fortune500 Clients
80+ Successfully Executed Computer Vision Solutions
50+ Professionals in-house
50+ Professionals in-house60 Countries where our solutions are used80+ Successfully Executed Computer Vision Solutions6 Fortune500 Clients
Our Process

How we deliver fashion product development software

Our process is designed to be collaborative and results-driven, ensuring that our fashion computer vision and AI solutions align with your business goals, demonstrating to our clients the expertise and commitment of our engineers.
01
Project strategy
  • Create a detailed project blueprint
  • Outline scope, timelines, resource allocation, and key milestones
02
Development
  • Develop the AI fashion design software
  • Make adjustments to align the project with its objectives
03
Testing & deployment
  • Conduct rigorous testing to validate the solution’s accuracy and robustness
  • Integrate the solution into your existing systems seamlessly
04
Maintenance
  • Monitor performance
  • Address any queries or enhancements needed
Our case studies

Our success stories in AI for fashion

Explore some of our AI fashion case studies and other AI solutions to see how we've assisted our clients in their business growth.
AI in Tennis
ai in construction
ai in retail
Portfolio
Book
Management

Meet our team

Behind every breakthrough in fashion technology is a team of passionate individuals. Our diverse team at OpenCV.ai includes AI gurus, computer vision consultants and engineers, and creative thinkers who are dedicated to pushing the boundaries of what's possible.
Our mission is to empower brands, designers, and retailers with leading-edge 3D fashion software solutions that not only streamline operations but also enhance the shopping experience for consumers. That is why, we strongly believe in a partnership approach, working closely with our clients to understand their unique challenges and opportunities.
CEO
ANNA
KOGAN
CTO
Tatiana
Khanova
CDO
Grigory
Serebryakov
Chief Scientist and President
Dr. Gary
Bradski
our approach

Your partner in computer vision fashion excellence

When you choose OpenCV.ai to enhance your fashion design using AI, you are gaining a partner committed to your success. We offer a comprehensive suite of cost-effective AI and computer vision solutions designed to empower fashion brands and retailers of all sizes.
Top-class specialists
Our team consists of seasoned professionals with extensive experience in the artificial intelligence and computer vision domains. We understand the unique challenges you face and can address even the most complex queries to help your business thrive.
Customized solutions
At OpenCV.ai, we understand that every business has unique needs and objectives. That is why our team strives to gain a deep understanding of your operations and goals to meet your specific needs and maximize the impact of the solution on your business.
High data protection
Our top priority is to ensure the security of your data by employing the most effective data security practices and protecting it from external threats. Every customer signs an NDA, which guarantees the safety of their sensitive business data in our hands.
Future-proof technology
Our team of experts is dedicated to staying at the forefront of artificial intelligence and computer vision technologies. We at OpenCV.ai invest in research and development, constantly innovating to bring you the latest advancements in the field.
Get in touch
Ready to embrace AI for fashion and revolutionize your shopping experience?
Our skilled development team is eager to help you elevate your brand with trending and proven AI and computer vision technologies.

Questions?
Answers.

How can AI be used in the fashion industry?

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Fashion AI technology can be used for various purposes, including personalized recommendations, virtual try-ons, inventory management, and demand forecasting. By analyzing consumer data and market trends, AI helps fashion brands understand customer preferences and optimize their operations, leading to enhanced shopping experiences and increased efficiency.

How is generative AI changing the fashion industry?

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Generative AI in the fashion industry is a great asset as it helps create new designs, patterns, and even entire collections. It can generate unique pieces that resonate with current trends, reducing the time from design to market. This technology also enables brands to offer hyper-personalized products catering to individual tastes and measurements.

How do we use AI to predict fashion trends?

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AI fashion design software can predict fashion trends by analyzing vast amounts of data from social media, fashion blogs, and sales records. Machine learning algorithms identify patterns and emerging trends, allowing brands to anticipate consumer preferences and adjust their designs and inventory accordingly.

Will fashion designers be replaced by AI?

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While AI can assist in generating designs and patterns, it is unlikely to replace fashion designers.
The creative process involves emotional intelligence, cultural understanding, and artistic vision that AI cannot fully replicate. Instead, AI serves as a tool to augment designers' capabilities, offering them new ways to innovate and express their creativity.

Which fashion brands use AI?

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Many forward-thinking fashion brands are already incorporating AI into their strategies. Examples include Zara, which employs AI for inventory management and sales forecasting, H&M’s virtual try-ons, and Alibaba’s fashion AI models, which provide personalized mix-and-match recommendations in physical stores.

How can AI solve supply chain problems?

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AI can optimize supply chain management by predicting demand, managing inventory levels, and streamlining logistics. It also helps in reducing waste with accurate trend forecasts. This leads to more efficient use of resources and lower risks of overstocks and understocks.

What are the challenges of AI in the fashion industry?

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There are some challenges and pitfalls that businesses should consider before implementing AI in their fashion business processes:

> Data bias and fairness:
AI algorithms are only as good as the data they're trained on. Biased data can lead to unfair outcomes, like perpetuating size or style discrimination.

> Data quality:
AI systems require large amounts of high-quality data to train their algorithms effectively. In fashion, obtaining diverse, accurate, and up-to-date data can be challenging, especially for smaller brands or those without a strong digital presence.

> Resistance to change:
The fashion industry is known for its traditional practices. Introducing AI fashion apps can meet resistance from industry professionals who may view it as a threat to their expertise or the creative process.

> Keeping pace with rapid change:
Fashion is a fast-moving industry with trends that can change quickly. AI fashion design software needs to be constantly updated and refined to remain relevant and effective.

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