
Rentigo
A smart platform for hassle-free car rentals with instant booking, transparent pricing, and location-based search.
Industry
B2B AIaaS · Enterprise SaaS
Role
Automobiles · Digital Solutions
Team
Designer-Led Team (3D · 1PO · 2TPM · 3AI Sci · 2BE)
Duration
3 months


Context
Rentigo’s original platform was functional but outdated, with limited filtering options and a confusing booking flow. Users struggled to quickly find the right car at the right price.
The lack of clarity and poor mobile optimization often led to frustration and abandoned reservations. Rentigo needed a smoother, more modern experience to keep customers engaged.
Core Product Challenges
Three constraints prevented the POC from operating as an enterprise product
The challenge was not visual consistency alone. The platform needed a product model that connected modules, workspaces, permissions, and system feedback into one understandable experience.
Three product-level constraints shaped the redesign:
Fragmented AI Modules
AI capabilities existed as isolated functions without a shared workflow, making it difficult to understand how modules connected or what users should do next.Undefined Multi-tenant Structure
Workspace, role, and permission concepts lacked a clear product model, limiting the platform’s ability to support enterprise collaboration.Low Visibility During AI Operations
Long-running AI tasks provided limited feedback about progress, system status, and possible next actions.

Discovery
The redesign aimed to create a seamless rental journey built on trust, speed, and transparency.
We focused on delivering a booking process that feels effortless, with clear pricing, intuitive search filters, and a consistent brand identity.
A platform-wide heuristic review surfaced 43 experience and architecture gaps. Affinity mapping turned those findings into four product priorities, creating a roadmap that connected immediate usability fixes to longer-term platform structure.

Top Heuristic Violations
43
Audited gaps mapped across Nielsen's heuristics.
Consistency & Standards — 35% (15 items)
Visibility of System Status — 20% (9 items)
Efficiency & Flexibility — 16% (7 items)
User Control & Freedom — 14% (6 items)



Product Decisions
We crafted a mobile-first experience with modern visuals and simplified navigation, designed to help users complete their booking in just a few taps.
The new Rentigo platform balances functionality and aesthetics: optimized for performance, scalable for growth, and tailored for both frequent travelers and first-time renters.
Impact
A clearer foundation for an enterprise AI platform
This work moved Vyin from a collection of technical capabilities toward a more coherent product model. It established shared priorities for module structure, workspace architecture, system feedback, and reusable interaction patterns. Because validated adoption and business metrics were unavailable, the outcome is presented as a product and delivery foundation rather than quantified impact.
Reflection
AI product design is an architecture problem before it is a UI problem
The central challenge was turning fragmented technical capabilities into a product experience that people could understand, trust, and scale. Working across discovery, UX architecture, interaction design, and delivery strengthened my ability to connect technical constraints with product decisions. Evidence that would strengthen this case further includes post-release usage signals, task-level usability findings, and stakeholder or customer feedback when those become available.







