7 looks a bridge for fashion brands to enter Web 3.0

We turn every piece of material clothes your customer buys into a digital one for Metaverse/Web 3.0 use.

The main supplier of digital clothes for the Metaverse worlds

Introducing new revenue streams

Sustainable solutions for reducing returns and unsold deadstock

Evolution of brand experience: from in-store to Web 3.0

Sustainability solutions

The platform enables your digital capabilities to reduce overproduction via

Reduced returns

Reduced unsold deadstock

Matching local users body metrics and preferences with inventory

Increase of DTC (direct-to-consumer) relationship with pre-selling new collections

30%

of apparel produced is never sold

100 mln

tons of apparel is wasted annually

$200 bn

is the annual cost of overstock and out-of-stock

$270 bn

is the annual returned and unsold stock

Something in the fashion industry seems to be wrong.

Why fashion industry is responsible for 10% of global emissions and almost 100 million tons of waste per year?

Because the way the industry functions now causes a 70% overproduction.

70%

overproduction rate

10%

of global emissions

100

million tons of waste per year

Bridging physical and digital fashion

No-friction practical usage of the digital wardrobe

The evolution of consumer customer journey from physical to digital and omnichannel is just progressing.

Enabling your digital fashion capabilities we help your customers get the digital twins of favourite looks and experience a no-friction Web 3.0 customer journey.

We engage more of your customers in practical and meaningful Web 3.0 brand experiences and even help them customise digital looks for different occasions.

Evolution of consumer brand experience: from in-store to metaverse

1 Jane makes 2 photos with the app to get precise 3D body metrics for hyper-personalized styling service
2 During in-store shopping AI stylist curates a feed of personalized looks that are on stock and fit her body. She goes to try them on and buys them
3 Jane purchased looks are added to her digital wardrobe for daily styling. Later she gets digital twins of her clothes for the metaverse/VR use
4 Jane can even get some garments customized for a special VR occasion (VR party, VR conference)
5 Jane can now use her digital wardrobe for her virtual meetings, parties, streams or dating

What type of consumer data do we process

Body metrics and preferences

Wardrobe data
(physical and digital)

In-store product engagement
and inventory data per location

Sustainable solutions

In-store behaviour and wardrobe data analysis provides unique opportunities to reach efficient sustainability and create new revenue streams:

Matching the size mix with the body metrics of shopper traffic reduces the unsold goods rate

Increasing the availability of the popular sizes increases sales

Tracking and remarketing abandoned baskets increases sales

Helping shoppers refresh their wardrobe with complementary pieces not only increases sales but extends the usability of clothes reducing carbon footprint

Achieving DTC relationship with loyal customers allows pre-ordering of tailor-made new collections prior to release

Your new sustainable revenue streams

WEB 3.0 revenue streams come from

Digital clothes for Web 3.0 use

Limited phygital collections

NFT’s

Subscriptions/services/events and more…

Sustainable in-store revenue comes from

Remarketed in-store “abandoned baskets”

Purchased complete looks (in-store + online) and

Complimentary garments to refresh looks

Product discovery rate increase, returns reduction and more…

No-friction integration via API

Claim your physical store demo that already works. (as we may already have it in the cities where we operate)

For maximized brand experience we advise to upload (via API) inventory data containing product description, barcode/RFID data, high-resolution images and connect a payment system

A bridge for fashion brands to enter Web 3.0