Discover the right item fast
Vibe browsing, search intent, category filters, and trend signals help buyers move from curiosity to a shortlist without feeling buried in inventory.
CASE STUDY · CONSUMER MARKETPLACE
The trusted secondhand fashion marketplace
Live marketplace
SEKEN is where preloved fashion finds its next owner. Buyers get branded items at fair prices, and sellers get a marketplace that treats trust as a feature.
Every transaction runs through escrow. Sellers are identity verified. Shipping is integrated. The result is a thrift experience that feels as safe as buying new.
Built end to end by Daily Dose: product, design, the iOS app, the backend, and the AI systems that keep operations lean.
PRODUCT FLOW
Pasar Seken is not just a catalog. The product connects discovery, seller confidence, buyer protection, negotiation, and listing operations into one mobile-first loop.
Vibe browsing, search intent, category filters, and trend signals help buyers move from curiosity to a shortlist without feeling buried in inventory.
Product pages make price, condition, tags, media, and purchase actions clear, with enough context for confident secondhand decisions.
Offer sheets keep price negotiation structured, fast, and close to checkout so buyers can act while intent is still high.
AI-assisted review turns raw item photos and details into cleaner listings, reducing seller effort and improving marketplace quality.
WHAT WE USED
The project combines product strategy, UX systems, mobile engineering, marketplace infrastructure, and AI operations into a production consumer platform.
Mapped buyer and seller journeys, clarified trust moments, and turned high-friction marketplace actions into simple mobile flows.
Designed the listing, discovery, seller, buyer, wishlist, cart, and order mechanics needed for a live C2C fashion marketplace.
Built the app experience around thumb-friendly navigation, fast browsing, image-heavy product pages, and seller workflows.
Structured buyer protection, seller verification, payment confidence, and operational guardrails around every transaction.
Used AI to help sellers prepare listing details from item photos and reduce manual effort before publishing.
Created discovery patterns for categories, vibes, trend terms, discounts, and personalized product feeds.