Deciphering the impact of AI/ML in the fashion space

Digitization within the fashion space is experiencing ongoing transformation through the ways brands experience client engagement, furnishing data-based, client-centric services. Latest tech advancements like AI and ML are furnishing solutions based on automation within the fashion space. These emergent innovations have a considerable part to play, revolutionizing the domain. From design to manufacturing and logistic supply chain to marketing, AI/ML technologies are fulling the needs of fashion brands of client customization.

Through harnessing AI/ML, fashion brands now can understand swiftly-changing fashion trends and provide more personalized services to clients. To mitigate the risks of bankruptcy, an increasing number of organizations are making significant investments in AI. Based on the report, global expenditure on AI tech by the retail and fashion space are predicted to reach approximately 7.3 billion US$ by this year.

Fashion houses that are harnessing ML and Artificial Intelligence

Alibaba

To transform and redefine client shopping experiences, Alibaba leverages tech to streamline the fashion shopping experiences. With the initiation of the FashionAI outlet, the organization facilitates e-tailers to swiftly identify client preferences and make sales for trending products. The Fashion AIStore leverages three critical features in the pursuit of streamlining fashion retail for clients, smart mirrors, smart garment tags, and omnichannel integration. These technologies particularly confer advantages upon clients by providing AI-driven fashion suggestions in line with their style preferences.

Dior

Dior, a French company manufacturing luxury goods, leverages an Artificial Intelligence beauty helper through the medium of Facebook Messenger referred to as Dior Insider. The platform is included in the business’s intentions to provide a more customized strategy to skincare cosmetics and skincare shopping. This AI-based helper app facilitates purchasers to communicate with a digital chatbot, ask for solutions to product-related queries, or access branded social media content.

Tommy Hilfiger

Tommy Hilfiger is one of the most dominant fashion houses on the planet. The organization in 2018 collaborated with IBM and the Fashion Institute of Technology (FIT) to utilize AI to enhance its design. The project referred to as Reimagine Retail, which concentrated on leveraging AI to realize future trends and enhance the design processes. Consequently, students of the fashion industry could get to know a plethora of technical skills such as Natural Language Processing (NLP) or Computer Vision to develop customized clothing.

In unison with these enterprises, Macy’s, Amazon, VF Corporation, Nordstorm amongst others are also capitalizing on AI/ML to deliver enhanced and customized client experience.

How AI/ML are making inroads

AI/ML within fashion is revolutionizing the industry by playing a critical part in several critical divisions. Ranging from design to manufacturing, marketing to logistic supply chain, AI in fashion has a greater part in revolutionizing and transforming this space.

We have dived into the era of Industry 4.0 – in this era of innovation and technological sophistication, AI/ML tech-based innovations within the fashion space are furnishing an automated solution to manufacturers assisting them to harness the power of AI into the fashion space and exhaust the best possibilities into their domain.

Other Use Cases

AI within Fashion – taking on the reins of Designer

The patterns and design with the correct color combo are the critical points to designing a costume to make it more enticing to their clientele. AI can identify the trending ideas with demand in estimating and projecting the new trend to minimize the prediction error.

Trends within the fashion space change with the drop of a hot. The audience is always on the lookout for the next, hot thing. New designs, seasonally released, new patterns, etc are consistent entrants into the market all year round. Designers need to keep up the pace with trends within their domain to provide their ideation some amount of direction. AI algorithms can assist in these calculations, they can undertake analysis of designs through imagery to replicate famous styles.

And upon analysis of the data set of designer clothes, AI leverages this data to see what functions and what does not fit well and create or suggest designers develop and launch a new design in the market.

Industry heavyweights in retail such as Walmart and Amazon currently have their in-house fashion brands and are utilizing machine learning frameworks and systems that can detect the spot and, very shortly, design trends within fashion that consumers also have a preference to purchase.

AI within Fashion Manufacturing, Fashion Store, and Supply Chain

Within fashion, apparel manufacturing is a domain that is very labor heavy. From sewing to sorting or outfits, there are monotonous tasks currently that AI can carry out with improved precision at a quicker speed minimizing the extra cost on workers.

AI-driven machines and bots can streamline stitching of the fabrics in fashion manufacturing with no error while simultaneously it can additionally identify faults in fabrics and furnish quality assurance to make sure that the actual design shades will be appropriate for the new colors.

On the Logistics side of things, AI in inventory and supply chain management is enabling speeding up by enhancing routes, cutting the logistic supply, and shipping cost.

Utilizing the AI tech, businesses undertake automation of logistics and supply chain processes for quicker delivery or identify alternative routes for vehicles derailed by unforeseen scenarios like bad weather or road construction.

While Artificial Intelligence within fashion also utilizes algorithms with humans-in-the-loop as virtual private stylists. This AI-driven framework suggests the ideal items for them. A stylist selects the final recommended products according to the body types.

AI in Fashion Retail

AI/ML in the retail space is also furnishing an automated solution to monitor the client’s activities while purchasing and visualize their sentiments to be aware of what type of products they have a preference to purchase and what they tend to gloss over.

AI can also undertake to track footfalls in retail shops or document the shopping experience of the clients with the option to obtain feedback on how the customer purchase experience was of the clients with the option to provide feedback on how they’d rate their experience at brick-and-mortar stores with an avenue to enhance their services.

Visual perception driven AI-models also assist shop owners to retain the records of the inventory in their shop and classify items in-store helping store owners to administer their inventory with AI-driven automated solutions.

AI Fashion Stylist – Style philosophy of the fashion accessories

Further, leveraging AI in fashion is also facilitating every one of us to find those elusive perfect outfits that are appropriate for our body type and fashion preferences.

These AI-facilitated clothes and outfits are not just customized for differing occasions and weather, but additionally to the user’s style, body variant, colors, and the latest fashion trends.

iLUK is an AI-driven private stylist, leveraging the Computer Vision driven and 3D Reconstruction tech at its core to make customized personal styling based on the tech available. It is developed as a pod that will be located at a retail outlet.

AI-based fashion stylists leverage computer vision and 3D reconstruction-driven tech is leveraged to produce a 3D avatar of the clients.

The measurement data is then inputted into the AI software to undertake analysis of your body shape, with an identical shape, body mass, color, and size, while utilizing your face to show off the new look.

AI deployments in Fast Fashion leveraging Smart Mirror

Likewise, AI-driven smart mirror is harnessed by the retailer store streamlining the shopping experience of the clients with virtual visualization of clothing items and how they appear on you and fit you without needing to wear the clothes on your body. In the current environment, this is particularly appealing, as this is a very hygienic practice.

The AI Smart Mirror is set up in the trial room of retail outlets with touch screen glasses that communicate data on if or not a person is located inside, they will also assist in obtaining data with regards to the item the client has brought into the store.

For these smart mirrors, clothing racks are RFID driven and utilize gyro-sensors and Bluetooth low-energy chipsets facilitating the articles chosen by shoppers are automatically displayed in the Smart Mirror.

And leveraging this mirror, clients can peek at differing sizes and color options and obtain customized mix-and-match options to finish the look. Rebecca Minkoff’s flagship New York City linked store features a huge, interactive mirror, that displays the latest Rebecca Minkoff branded media. The buyer can utilize the mirror, to browse several looks and include them into their fitment room experience.

Conclusion

We looked at the burgeoning presence of the emergent technologies, AI/ML, in the second part of this multi-part blog. We will take a deeper dive in the 3^rd part. Stay tuned!