Express Delivery

Project Overview

Redesigned the end-to-end cart and checkout experience to enable fast, reliable 1–2 hour delivery, while aligning user experience with real-time store fulfillment and logistics constraints.

Platform: Mobile App (iOS & Android)
My Role: Led UX/UI design across cart, checkout, and order tracking. Defined user flows, delivery logic, and edge cases in collaboration with product, engineering, and operations teams.

Problem:

As Quick Commerce was introduced:

• Delivery speed was not visible early in the journey

• Users couldn’t clearly distinguish between delivery options

• Cart lacked location dependency and accurate ETA

• Checkout decisions increased cognitive load

• Operational constraints (stock, delivery radius) were not reflected in UX

This resulted in low trust, drop-offs, and delivery failures.

Goal

• Surface delivery promise early

• Reduce friction in checkout

• Enable accurate, location-based delivery options

• Improve success rate of fast deliveries

Approach

1. Location-First Experience

• Made location mandatory for accurate delivery promise

• Enabled GPS/manual selection with fallback logic

2. Lead Time Visibility

• Displayed delivery ETA at cart level per product

• Introduced express eligibility indicators

3. Structured Checkout Flow

• Step 1: Cart with delivery preview

• Step 2: Address + delivery selection

• Step 3: Payment (conditional logic applied)

4. Smart Defaults

• Auto-select fastest delivery option (Express > Standard > Pickup)

• Reduced decision-making effort

5. Constraint-Based Design

• Disabled COD for express deliveries

• Prevented invalid delivery selections

Key Design Decisions

Cart (Step 1)

• Introduced location-aware delivery estimates

• Added inline delivery information per item

• Enabled quick location change

Address & Delivery (Step 2)

• Mandatory address for serviceability check

• Dynamic delivery options based on location and stock

• Clear fee visibility and fallback options

Payment (Step 3)

• Conditional payment methods based on delivery type

• Reduced failure rates by restricting unsupported options

Order Tracking

• Immediate delivery promise shown post-order

• Status-based tracking (Preparing → In Transit → Delivered)

• Live tracking enabled after dispatch

Operational Alignment

• Designed around store fulfillment lifecycle:

  • Paid → Processed → Picked → Packed → Dispatched → Delivered

• No cancellation allowed post order confirmation

• Returns restricted to store to reduce logistics complexity

Impact

• ~1.1 hour average delivery time

• ~10 minutes average packing time

• ~90%+ SLA adherence

• Reduced checkout friction through structured flow

• Improved delivery success rate by aligning UX with operational constraints

Key Learnings

• Delivery speed must be visible early to build trust

• Location is critical for decision-making in quick commerce

• Smart defaults significantly reduce cognitive load

• UX must reflect real-world operational limitations

• Restricting choices can improve overall system success

Future Scope

• Partial fulfillment (split cart)

• Predictive delivery ETA

• Dynamic store selection based on load

• Personalized delivery prioritization