Build Fashion Tech That Keeps Pace with Trends

From virtual try-on to inventory forecasting, Bookuvai delivers custom software for fashion brands, retailers, and DTC companies at startup-friendly pricing.

Industry: Fashion

Pain Points

  • High Return Rates from Sizing Uncertainty: Online fashion retailers see return rates of 30-40%, driven primarily by fit and sizing issues. Each return costs $10-15 in reverse logistics, eating into already thin margins.
  • Seasonal Inventory Forecasting: Fashion brands must commit to production 6-9 months ahead of season. Overproduction leads to markdowns and waste; underproduction means lost sales and disappointed customers.
  • Omnichannel Experience Fragmentation: Customers expect seamless experiences across web, mobile, social commerce, and physical stores, but most fashion brands run disconnected systems for each channel.

Solutions

  • Virtual Try-On and Sizing Tools: AI-powered virtual fitting rooms and size recommendation engines that reduce return rates by helping customers find the right fit before purchasing.
    • AR-based virtual try-on for apparel
    • Body measurement estimation from photos
    • Size recommendation algorithms
    • Fit preference learning over time
  • Fashion E-Commerce Platforms: Custom storefronts with lookbook-style browsing, style quiz funnels, subscription boxes, and social commerce integrations for Instagram and TikTok.
    • Lookbook and editorial content pages
    • Style quiz recommendation engine
    • Social commerce integrations
  • Inventory and Demand Forecasting: ML-powered demand planning tools that analyze historical sales, trend signals, and external data to optimize buy quantities and reduce overstock.
    • Demand forecasting with ML models
    • SKU-level inventory optimization
    • Markdown optimization engine
    • Supplier order automation

Use Cases

  • DTC Fashion Storefront — A headless e-commerce storefront with lookbook browsing, style quiz, size guide, wishlist, and Stripe checkout for a direct-to-consumer fashion brand. (160-240, $320-$480, 8-12 weeks)
  • Virtual Try-On MVP — An AR-powered virtual try-on feature for a fashion retailer, allowing customers to see garments on their body using their phone camera. (200-300, $400-$600, 10-14 weeks)
  • Inventory Forecasting Dashboard — A demand forecasting tool that analyzes two years of sales data and trend signals to recommend optimal buy quantities for the next season. (120-180, $240-$360, 6-8 weeks)

Compliance Notes

  • PCI DSS for payment card data protection
  • GDPR and CCPA for customer data privacy

Frequently Asked Questions

Can you build a virtual try-on for our clothing brand?
Yes. We build AR-based virtual try-on experiences using frameworks like AR.js and TensorFlow.js for body segmentation. We can also integrate with third-party try-on APIs if you prefer a faster time to market.
Do you integrate with Shopify or build custom storefronts?
Both. We can extend Shopify with custom themes, apps, and headless frontends using the Storefront API. For brands wanting full control, we build custom e-commerce platforms from scratch.
How accurate are your size recommendation tools?
Our ML-based size recommendation engines typically reduce size-related returns by 25-40% by analyzing purchase history, return data, and garment measurements to suggest the best size for each customer.
Can you help with sustainable fashion reporting?
Yes. We build sustainability dashboards that track carbon footprint per garment, material traceability, and supply chain transparency metrics for ESG reporting.