Provides the influence of coding in fashion industry for bf-tech 1st year students

1. Coding's Influence
in Fashion
Coding has become an integral part of the fashion industry, a way
transforming designs can be created, products are manufactured, and
customer experiences are tailored. From optimizing supply chains to
enabling personalized garments, the marriage of fashion and technology
has ushered in a new era of innovation in this fast growing world.
By: Vansh Narang

2. Digitalization of Fashion &
Design
1 Digital Sketching
Fashion designers leverage advanced software to create digital sketches,
allowing for rapid iteration and seamless collaboration.
2 3D Modeling
Innovative 3D modeling tools enable designers to visualize garments in
virtual spaces, optimizing fit and reducing physical prototyping.
3 Generative Design
AI-powered generative design algorithms assist in creating unique patterns
and fabric designs, expanding the creative possibilities.

3. Automation in Fashion Production
Smart
Manufacturing
Robotics and
automation technologies
streamline production,
reducing errors and
increasing efficiency in
fashion manufacturing.
Supply Chain
Optimization
Algorithms analyze
data to optimize
inventory, logistics, and
distribution, ensuring
timely delivery of
products to customers.
Predictive
Maintenance
Sensors and machine
learning models predict
equipment failures,
enabling proactive
maintenance and
minimizing production
downtime.

4. Data-Driven Fashion Retail
1 Predictive
Analytics
Sophisticated
algorithms analyze
customer data to
forecast trends,
optimize inventory, and
personalize product
recommendations.
2 Omnichannel
Experience
Seamless integration
of online and offline
channels allows for a
unified, data-driven
customer journey.
3 Dynamic
Pricing
Real-time data on
demand, competition,
and market conditions
inform dynamic pricing
strategies to maximize
profits.

5. Personalization through Coding
Mass Customization
Platforms that enable customers to design
their own garments, leveraging algorithms
to optimize fit and manufacturing.
Virtual Try-On
Augmented reality and computer vision
technologies allow customers to virtually
try on clothes, enhancing the shopping
experience.
Adaptive Sizing
AI-powered sizing recommendations and
made-to-measure solutions cater to
individual body types and preferences.
Dynamic Merchandising
Real-time data analysis and optimization
of online product displays to enhance
customer engagement and conversion.

6. Sustainable Fashion through
Technology
Circular
Economy
Innovative software
and traceability
systems enable the
reuse and recycling
of materials,
promoting a more
sustainable fashion
industry.
Smart
Manufacturin
g
Automated systems
and data-driven
optimization reduce
energy
consumption, water
usage, and waste in
fashion production.
Supply Chain
Visibility
Blockchain
technology and IoT
sensors provide
end-to-end
transparency,
allowing customers
to make informed,
sustainable choices.
Eco-Friendly
Materials
AI-powered material
selection and design
tools enable the use
of innovative,
sustainable fabrics
and textiles.

7. Challenges in Coding for Fashion
Legacy Systems
Integrating new digital technologies with existing, outdated infrastructure can
be complex and resource-intensive.
Skill Gaps
Bridging the gap between fashion and technology professionals requires
innovative training and collaborative workflows.
Data Privacy
Ensuring the secure and ethical use of customer data is crucial, given the
sensitive nature of personal information.

8. The Future of Coding in Fashion
Artificial Intelligence Machine learning algorithms will continue to
drive innovation in areas like trend
forecasting, product design, and customer
personalization.
Augmented Reality Immersive AR experiences will enhance the
online and in-store shopping journey,
enabling virtual try-ons and product
visualization.
Blockchain Distributed ledger technology will improve
supply chain traceability, enable smart
contracts, and facilitate circular economy
initiatives.
Internet of Things Connected devices and sensors will
optimize production, logistics, and store
operations, driving increased efficiency and
sustainability.

9. Thank You