Svelte Couture

Svelte Couture is a synergy of Artificial Intelligence and Fashion . Svelte, in old English, translates to elegant and feminine which perfectly embodies our brand aesthetics .  

Our Vision

Timeless Couture

Svelte strives to create classic Ready-to-Wear which are perpetual wardrobe staples. We shun the seasonality of fads or fast fashion and promote conscious consumption of our timeless designs to satiate your fashion appetite in a sustainable way.

Quality

Svelte sources the best quality fabric and thread to ensure the longevity and comfort of our products. The workmanship and finishing embody our belief of quality trumping quantity.

Affordable prices

Svelte believes that staying in vogue should be inclusive to women of all ages and backgrounds. Local material and production allows us to offer haute couture designs at fast fashion prices. Svelte’s proprietary AI software for demand and inventory forecasting helps reduce wastage and the markup reserved for it as a hedge translating to lower prices for customers.

Made In India

Svelte is inspired by global fashion but is vocal for local . Our entire end-to-end production process is done in various regions of India. Your purchase helps support workers and small businesses in India.

Sustainable

Svelte vouches for the following practices of sustainability

  1. Local sourcing of materials for a reduced carbon footprint
  2. Small batch production depending by demand forecasting rather than hoarding and creating wastage
  3. Classic styles that remain evergreen for years
  4. Picking partners who practice sustainable textile manufacturing and dyeing

Artificial Intelligence X Couture

Social Media Trends

Svelte's proprietary graph algorithm uses the social media APIs to capture features of global trends from luxury brand archives, celebrities and influencers. By gaining insights on posts, styles , reels colour and combination which gain the most traction and are appealing to Svelte's target demography, we curate collections adding our signature taste albeit keeping in mind the audience's demand.

Inventory Forecasting

Svelte uses machine learning to forecast the quantity per size, colour preference and fabric depending on the pattern of the garment and season. This avoids wastage in unpopular items among the target demography.

Dynamic Demand-Based Production 

Svelte monitors the customer journey data on it's website and social media insights to understand which designs are the most popular to dynamically produce it's collection in small batches to avoid hoarding inventory.

 

Check out our Modiste's article Data Science in Fashion on KDNuggets ( March 2018 Silver Badge Winner )

Read about our founder's journey : Modiste X Data Scientist