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Lumi: styling & shopping

Lumi: styling & shopping

Bramol Limited

Shopping免费v2.20.6
App Store
评分

4.0

16,277 条评分

星级

★★★★☆

最近更新

2026年5月11日

发布日期

2022年9月1日

更新内容

v2.20.6

Recent updates in the Lumi app: • Bug fixes & improvements. We’re constantly improving the app to give you a smoother experience and more personalized content. Make sure to keep it updated! Questions or suggestions? Please email us at customer.care@lumi.place.

应用信息

开发者
Bramol Limited
分类
Shopping
价格
免费
版本
2.20.6
App ID
1637080045

简介

STYLE THAT FEELS MORE LIKE YOU Meet LUMI — your personalized styling and shopping companion. Discover outfit ideas tailored to your lifestyle, preferences, body, and taste. Explore looks for real-life moments, shop complete outfits, and build a style that feels natural to you. PERSONALIZED OUTFIT IDEAS Browse curated looks for work, weekends, dinners, travel, events, and everyday dressing. LUMI learns from your preferences and interactions over time to shape recommendations that feel more personal with every step. SHOP COMPLETE OUTFITS Discover pieces that work well together without endless searching. Save your favorite looks, explore new combinations, and shop outfits designed around your style and lifestyle. LEARN WHAT WORKS FOR YOU Build confidence in your style through your personalized Style Plan. Explore styling insights, outfit guidance, colors, silhouettes, and combinations that help you better understand what feels right on you - and why. WITH LUMI YOU CAN - Discover outfit ideas tailored to you - Shop complete looks in one place - Learn how to dress with more confidence - Explore your personal style gradually - Save outfits and refine your taste - Earn Lumi Reward while you shop STYLE EVOLVES OVER TIME The more you interact with LUMI, the more personal your experience becomes. Download LUMI and start discovering a style that feels like you. Terms of Use: https://lumi.place/terms-of-use Privacy Policy: https://lumi.place/privacy-policy

下载量预测

专业 · 预览

预估总下载量

1.2M814K2.3M
保守估计乐观估计

18K

低 / 月

27K

预估 / 月

52K

高 / 月

基于16,277 条评分
假设评分率1.4%
应用年龄45 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。