SPLITTY — AI-powered bill splitting for real-life dining.
Group dining should end with conversations, not calculations. Splitty simplifies restaurant bill splitting through receipt scanning, intelligent item assignment, and lightweight payment coordination.
The product was designed to reduce mental math, social awkwardness, and post-dinner friction, especially in larger group dining situations.
Timeline
4 Weeks
Role
Product Designer
Focus
Product Strategy · UX Research · AI Workflow · Visual Design
After eating with friends, splitting the bill often becomes the most frustrating part of the experience. People struggle to calculate tax and tip, remember who ordered what, split shared dishes, track who has already paid, and avoid awkward payment conversations.
01
Problem
User Flow
A calm split flow from receipt scan to payment closure
AI Strategy
Invisible infrastructure, not a chatbot
I intentionally designed AI as calm, subtle, and reliable. The system scans receipts, extracts item data, identifies subtotal, tax, and tip, detects likely shared dishes, and structures editable receipt data. It does not guess ownership automatically or make irreversible decisions.
01
Overview
Group dining should end with conversations, not calculations. Splitty is an AI-powered mobile app that simplifies restaurant bill splitting through receipt scanning, intelligent item assignment, and lightweight payment coordination. The product reduces mental math, social awkwardness, and post-dinner friction, especially in larger group dining situations.
1. Automation
The AI handles structure, calculations, shared-item detection, and receipt parsing so users are not forced into spreadsheet-like work.
2. Confirmation
Users confirm ownership and edits before anything becomes final. This preserves trust while still reducing effort.
3. Closure
The final digital receipt acts like a payment settlement artifact, with Paid, Pending, and Reminder Sent states.
02
Problem
Design Goal
Create a bill splitting experience that feels fast, lightweight, socially natural, low pressure, and intelligent without being intrusive. The app should reduce thinking, interaction steps, and awkward conversations.
The Solution
Instead of building a budgeting app, expense tracker, or finance dashboard, Splitty becomes an AI-powered social utility centered around receipt scanning, item assignment, payment coordination, and lightweight session management.
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The Problem
Bill splitting becomes the most frustrating part of dinner: tax, tip, shared dishes, multiple receipts, and awkward payment reminders all collide when people are tired and distracted.
Initial Insight
post-dinner overload
Most existing bill splitting apps feel overly manual, visually outdated, accounting-focused, and dependent on everyone downloading the app. Splitty reframes bill splitting as a fast, lightweight social utility instead of a financial management tool.
01
Start a Split
02
AI Receipt Processing
03
Add People
04
Assign & Review
Key Product Decision
The app prioritizes Split Sessions, not individual receipts. One session can contain multiple receipts, multiple rounds of orders, multiple participants, and shared items across time, which better reflects real social dining behavior.
Users scan a receipt, upload an image, or create a dining session. The system extracts items, prices, subtotal, tax, tip, and totals, then flags likely shared items. Participants are added through lightweight avatar chips, and users tap items to assign individual, shared, or everyone states.
Split Rooms
For large groups, the host can generate a QR code, invite participants, and let people claim their own items without downloading the app.
UX Principles
Low cognitive load, social-friendly interactions, calm AI, and one screen per task. The interface avoids dashboard overload and dense financial analytics.
Neo Receipt Futurism
A visual language inspired by Apple Wallet, Linear, Raycast, receipt printers, and nightlife lighting: matte surfaces, subtle neon accents, receipt details, and ambient glow.
Challenges
The biggest challenge was balancing AI automation and user trust. If AI automated too aggressively, users lost confidence; if everything stayed manual, the product lost its value. I solved this by automating structure while preserving user confirmation. I also refined the dark neon direction by limiting accents, reducing glow, simplifying layouts, and increasing negative space to avoid “crypto UI syndrome.”
Reflection
This project taught me that the best AI experiences are often invisible. Instead of designing AI as a character, I focused on reducing cognitive effort, simplifying decision making, and quietly supporting real-world social interactions. The result feels intelligent, calm, fast, and human-centered without overwhelming users with complexity.
Final Outcome
Splitty transformed bill splitting from a stressful calculation task into a lightweight social coordination experience. The final product emphasizes speed, clarity, low friction, ambient intelligence, and social comfort.