How 58租房 Accelerated Landlord Publishing with LBS, OCR, and AI Guidance

This case study details how 58租房 tackled cumbersome landlord publishing by redesigning the workflow with smart location (LBS), AI‑driven shooting assistance, OCR‑based document recognition, and digital‑human guidance, achieving up to 90% faster operations, higher accuracy, and stronger privacy protection.

58UXD
58UXD
58UXD
How 58租房 Accelerated Landlord Publishing with LBS, OCR, and AI Guidance

In a rental market worth 2.5 trillion RMB, personal listings are popular for price advantage and flexibility, but 58租房 faced landlord pain points such as complex certification, manual data entry errors, and high abandonment risk.

Key Pain Points

Cross‑city publishing requires deep menu navigation, leading to frequent mistakes.

Certification photo capture forces landscape mode and lacks real‑time composition help.

Manual entry of IDs and certificates is error‑prone, with costly re‑entries.

Experience Loop Design

We built a loop of "scene adaptation → smart assistance → timely feedback" to streamline the process.

1. Space Decoupling: LBS Smart Location

Automatic city detection enables separate selection of publishing location and property location, reducing cross‑city steps from seven to one.

2. Form Liberation: Intelligent Shooting Guidance

Dynamic angle detection (portrait, tilt, landscape) automatically optimizes composition; shooting pass rate improved from 58% to 89%.

3. Input Revolution: OCR Smart Recognition

Key fields on property certificates and IDs are auto‑extracted with 98.7% accuracy, cutting information‑entry items by 80%.

Elderly User Support

To aid senior landlords, a digital human provides step‑by‑step narration during document capture, simplifying operations and reducing certification time from eight minutes to one minute.

Privacy Enhancements

All uploaded documents receive a "Only for 58租房 certification" watermark.

Strict privacy policies are enforced to secure user data.

Technical Enablement

LBS smart location, OCR engine, and AI‑driven guidance work together to create an invisible service layer that includes error‑proof address matching and historical template memory, further smoothing the landlord experience.

Overall, the redesign “liberates landlord productivity,” delivering faster, more reliable publishing while maintaining simplicity and trust.

Product DesignOCRPrivacydigital humanLBSAI guidance
58UXD
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58UXD

58.com User Experience Design Center

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