Delivery and cost near the buying decision
Reduce uncertaintyShoppers need to know the total cost and delivery window before deciding.
Depends on logistics integrationLuma · Conceptual ecommerce case
When choosing gets easier, buying makes more sense.
Rethinking discovery, the purchase decision and checkout for a conceptual home objects store.
The challenge
A shopper wants a portable lamp. Before buying, they need to find an option, understand how it works, know when it arrives and check out without creating an account.
Luma is a fictional brand. The initial problems are design scenarios, not findings from research with real customers.
From friction to a design decision.
The analysis starts with a specific task: finding and buying a portable lamp on a phone. We organize obstacles around discovery, confidence in the choice and completing the purchase. Each hypothesis becomes an interface state that can be explored in the prototype.
Constraints shape the solution, too.
The proposal preserves the store’s catalog, pricing and identity. Delivery information depends on reliable logistics data; guest checkout must remain compatible with payments and customer support. Essential information sits near the action without turning the page into a wall of notices. Before integration, we would test these decisions with shoppers and the operations team.
Try the decisions yourself.
Switch stages and compare the initial experience with the proposal. Prototype controls work, without real purchases.
luma.example / product
lumaObjects for your everyday.
Luma / 01Luma table lamp
R$379.00Portable. Rechargeable. Made to move with you.
Color: cobalt blue
or 3 × R$126.33, interest-free
Delivery to São Paulo, Brazil3–5 business days · R$19.00
Returns within 7 days of receipt
What comes first — and why.
Guest checkout
Remove a barrierBuying should not depend on creating an account.
Depends on checkout and identityVisible, removable filters
Support discoveryShoppers need to understand the active filters and be able to undo them.
Depends on catalog dataA hypothesis is not a result.
This case demonstrates the reasoning and behavior of the solution. To establish commercial impact, the next step is to observe shoppers and measure the journey in a real operation.
Discovery
Success in finding an option and use of filters.
Decision
Understanding of price, delivery and adding to the cart.
Checkout
Completion, form errors and abandonment by stage.
Compare periods or variants with equivalent traffic, segment by device and source, and track order value, returns and support. Avoid attributing every revenue change to design.
The work goes beyond the layout.
Decisions connect content, interaction, data and operations. This is how Comercy approaches a shopping experience: make the next decision clearer and verify what actually changed.
Bring this approach to my store