Rent Cart Redesign

When the Cart Wasn’t a Cart

How reframing checkout drove a +100% increase in multi-item orders

OVERVIEW

Rentit is the rental service of Reebonz. Its cart was originally built as a static wishlist, not a functional checkout step. This project transformed it into a dynamic bundling system that redefined how users move from browsing to checkout.

The impact:
Multi-item rentals: +100%
Average items per order: +30%
Checkout abandonment: –15%

MY ROLE

Product Designer

TEAM

1 Product Manager
1 Product Designer
3 Engineers
2 Analytics

TIMELINE

Feb 2023 - Jun 2023
(4 Months)

PROBLEM

The "Retail" model failed
for "Rental" users

The "Retail" model failed for "Rental" users

Although 86% of orders were single items, data revealed this was a system failure, not user intent. 61% of multi-item customers were forced to place separate orders because the system blocked bundling.

Why the old system failed?

01. Fragmented Flow

Before Flow

Users were trapped in a loop: Add → Pay → Repeat.

02. Hidden Pricing

Pages showing only Daily Rates

Total costs were invisible until the very last step.

03. No Bundling Logic

The system couldn't calculate overlapping dates for multiple items.

SOLUTION

Redesigned the flow
to support "Dates-First" logic

I restructured the architecture so users define when they want to rent before committing to what they rent.

Key Structural Changes

01. Smart action placement

Placing the "Add to Cart" action inside the calendar ensures users commit to a rental period first. This validates dates upfront and prevents downstream logic errors.

02. Upfront transparency

With dates anchored early, final prices are calculated and displayed immediately. This builds trust and removes the price shock that previously occurred at checkout.

03. Seamless bundling

Checkout displaying Final Prices

Once the rental window is established, users can naturally stack multiple items with overlapping dates into a single, cohesive transaction.

IMPACT

By transforming the cart into a dynamic booking engine, we proved that the low multi-item rate was a system failure, not a lack of user intent.

Multi-item Rentals

+ 100%

+ 100%

+ 100%

Average Items per Order

+ 30%

+ 30%

+ 30%

Checkout Abandonment Rates

- 15%

- 15%

- 15%

KEY TAKEAWAYS

Redesigning the Experience,
Not Just the Cart

Restructuring the underlying logic (Retail vs. Rental) was necessary to unlock the interface's potential.

Smarter Systems
Over Smoother Flows

Aligning the system with the user's mental model ("Booking" instead of "Shopping") was the key to changing behavior.