UI / UX Design

Foodata

Foodata is a conceptual mobile application designed to help families manage their pantry and refrigerator inventory through smart reminders, expiration tracking, and automated shopping lists. The goal of this project was to reduce cognitive overload in household management while minimizing food waste through intelligent inventory awareness.

Role:

Product Designer

Industry:

Food industry

Project Duration:

8 weeks

Year:

2024

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Featured Project Cover Image
Featured Project Cover Image

Designing an Intelligent Household Inventory System to Reduce Food Waste and Mental Load

The Problem

In most households, especially in family environments:

  • People forget what they already have.

  • Products expire unnoticed.

  • Items are repurchased unnecessarily.

  • Grocery trips are inefficient.

  • Mental load disproportionately affects one person (often the primary household organizer).

Household inventory management relies on:

  • Memory.

  • Paper notes.

  • WhatsApp messages.

  • Last-minute realization in the supermarket.

This creates waste, inefficiency, and stress.

The opportunity: Transform food management from reactive to proactive.


Vision

Foodata reimagines the kitchen as a semi-intelligent ecosystem.

The platform:

  • Tracks pantry and fridge inventory.

  • Monitors expiration timelines.

  • Generates contextual reminders.

  • Suggests replenishment before shortages occur.

  • Centralizes household food awareness.

In a future-state vision, the system could integrate with smart refrigerators or IoT devices.

But the foundation begins with a well-structured manual inventory system enhanced by smart logic.


Understanding the User

Primary users:

  • Family organizers.

  • Busy parents.

  • Household managers.

  • Individuals seeking structured grocery planning.

Key insights:

  • Grocery planning creates invisible cognitive burden.

  • Expired food generates guilt.

  • Remembering quantities is mentally exhausting.

  • Users want clarity before leaving home to shop.

One critical insight:

The product must reduce thinking — not add more tasks.


Design Strategy

The system was built around three pillars:

  1. Intelligent Reminders

Users can configure:

  • Expiration alerts.

  • Quantity thresholds.

  • Custom reminder timing.

  • Recurring product cycles.

Example:
“Notify me when fewer than 10 eggs remain.”
“Alert me 3 days before milk expires.”

The app adapts to household rhythm instead of forcing static notifications.


  1. Structured Inventory Management

Users can add products through:

  • Manual input.

  • Barcode scanning.

  • Photo attachment.

  • Categorization (Fridge, Pantry, Freezer).

Each item includes:

  • Quantity.

  • Expiration date.

  • Storage location.

  • Custom notes.

The interface prioritizes clarity and fast input.


  1. Smart Shopping Companion

Before grocery trips, users can access:

  • Auto-generated shopping suggestions.

  • Expired items list.

  • Low-stock alerts.

  • Custom notes.

The goal is to eliminate “What did we need again?” moments in the supermarket. The app becomes a live household memory system.

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Process

  1. Household Workflow Analysis

We mapped common food management behaviors:

  • Grocery shopping.

  • Product storage.

  • Midweek consumption.

  • Expiration realization.

  • Waste disposal.

We identified friction at the transition points. Foodata addresses those moments directly.


  1. Information Architecture

Core sections were defined as:

  • Dashboard

  • Inventory

  • Expiring Soon

  • Low Stock

  • Shopping List

  • Notes & Custom Reminders

This structure keeps cognitive navigation minimal.


  1. Reminder Logic Modeling

The most complex design challenge was the reminder logic.

We developed:

  • Threshold-based alerts.

  • Time-based expiration warnings.

  • Dynamic list generation.

  • Editable automation settings.

The system balances automation with user control.


  1. Wireframes

Low-fidelity prototypes focused on:

  • Quick item addition.

  • Clear expiration visualization.

  • Prominent alert indicators.

  • Minimal visual clutter.

We removed unnecessary decorative elements early. Clarity is critical in inventory-based products.


Dashboard Experience

The home screen displays:

  • Items expiring soon.

  • Low-stock alerts.

  • Quick-add button.

  • Upcoming reminders.

  • Suggested shopping list preview.

The layout is structured and calm. Household management should feel organized — not chaotic.


Inventory Visualization

Items are categorized visually and sorted by:

  • Expiration proximity.

  • Quantity level.

  • Storage location.

Visual indicators (e.g., color-coded urgency) provide instant understanding. Users should know their kitchen status in seconds.


Smart Shopping Flow

When entering shopping mode:

  • The app prioritizes low-stock items.

  • Expired products are flagged.

  • Manual additions remain editable.

  • Categories help streamline store navigation.

The system reduces inefficiency during real-world context.

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Design Experience

Visual Design

The UI is:

  • Clean and structured.

  • Friendly but not childish.

  • Functional without excess gamification.

  • Organized with strong hierarchy.

Soft neutrals with alert-based accent colors guide attention. The visual tone communicates reliability.


Design System

To ensure scalability:

  • Defined spacing tokens.

  • Clear urgency color scale (Normal / Low / Critical).

  • Modular inventory cards.

  • Consistent form fields.

  • Reminder badge components.

This allows future integration with:

  • IoT refrigerators.

  • Voice assistants.

  • Smart barcode auto-detection.

  • Multi-user household accounts.


Ethical & Behavioral Considerations

Since the app influences household behavior:

  • Reminders must not feel intrusive.

  • Notifications should be adjustable.

  • Data entry friction must remain low.

  • Automation must remain transparent.

The system supports decision-making — it does not control it.

Potential Impact

If implemented fully, Foodata could:

  • Reduce food waste.

  • Lower unnecessary grocery spending.

  • Decrease cognitive load for household organizers.

  • Improve family food planning efficiency.

It transforms domestic management into structured awareness.


Key Learnings

  • Domestic products must prioritize simplicity.

  • Automation should feel supportive, not overwhelming.

  • Reminder systems require flexibility.

  • Reducing mental load is a powerful product value.

If iterated further, I would:

  • Introduce predictive consumption models.

  • Add recipe suggestions based on expiring items.

  • Implement shared household accounts.

  • Test IoT integration feasibility.

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