AI-Assisted Personal Data Autofill

Assist non-English speaking users with completing personal data forms during online car reservations

Timeline

2 weeks

Device

Desktop, Mobile, Tablet

Impact

70%

Expected reduction in form completion time

What began as a developer-initiated hackathon project became an opportunity to build trust, strengthen UX credibility, and secure UX involvement in future initiatives.

2

weeks from concept to handoff

The concept was designed in one sprint as a single-market PoC. Meeting this timeline was crucial, as the business goal was to test quickly and collect initial user data.

1

day spent on UX alignment

Within a tight timeline, I used AI tools to create a user flow and wireframes in one day, enabling rapid alignment with the design team.

Problem

Non-English-speaking users had to manually translate their addresses into English when completing the car reservation form. This was frustrating and time-consuming, increasing form abandonment and leading to lost revenue.

60% ↓

form abandonment rate

Process

Cross-Functional Alignment for a Consistent AI Experience

To ensure consistency in AI-driven elements, I researched similar features across the online car reservation journey. In parallel, we aligned with the Design System team to confirm that tokens met compliance standards.

UI consistency across AI features and design components

UI consistency across AI features and design components

For the Indian-market PoC, making the feature easily discoverable was critical to enable implementation and gather initial usage data.

1.

Default

2.

Expanded

3.

Auto-fill

Step-by-step flow within the personal data step

Localized and Mobile-friendly AI translation

The design helped non-English-speaking Indian users easily discover the feature by presenting key information, such as section headlines and input hints, in Hindi, one of India’s official languages alongside English.

To address limited mobile screen space and already lengthy forms, the section was made optional and collapsed by default to reduce visual clutter. The AI legal disclaimer was placed behind a link so users would not feel overwhelmed.

What began as a developer-initiated hackathon project became an opportunity to build trust, strengthen UX credibility, and secure UX involvement in future initiatives.

Initial concept proposed by the Dev team

Final design

Concept proposed from Dev

Final design