Concept

2026

Warehouse Picking System

Role

Product Designer

Timeline

Jul 2026

Scope

UX, System Architecture, Validation

Role

Product Designer

Timeline

Jul 2026

Scope

UX, System Architecture, Validation

Overview

What Breaks First When 10,000 Orders Rely on Memory?

For a fast-growing B2B commerce operation, ten thousand packages leave the warehouse daily. Before packing, workers collect items across rows of storage shelves using only paper sheets, choosing their own paths and checking long SKU codes by eye.

Mistakes were not caused by careless staff. When demand surged, the lack of route guidance and physical verification turned human fatigue directly into wrong shipments.

Problem

When an entire operation relies on human memory...

The warehouse expected zero mistakes for eight straight hours while giving workers zero tools to catch a slip-up.

  • THE GOAL: Make picking speed and accuracy independent of who pulls the cart.

  • THE HYPOTHESIS: If we remove path decisions and visual checks, accuracy will rely on process instead of memory.

Solution

Turning an open floor into an enforced system

The software takes over navigation and verification so workers never have to guess what comes next.

Batch Routing

Instead of running single orders, the system groups up to 12 orders into one continuous walking path, eliminating unnecessary floor travel.

Scan Verification

Input fields remain locked until the handheld scanner validates the physical barcode, removing eye checks entirely.

Floor Realities

When aisle conditions break, the flow adapts without losing control:

  • Missing stock: Pickers log shortages inline without stalling the active route.

  • Damaged label: A one-tap keypad fallback keeps workers moving without skipping verification.

  • Unfinished pick: The completion trigger remains disabled until every unit in the batch is resolved.

Success Criteria

Validating a concept before it hits the floor...

Success is measured by how safely the workflow scales without relying on individual worker memory.

Learnings

Removing worker discretion only pays off if the system never breaks.

Automating decisions forces the software to handle reality flawlessly, or workers will simply abandon it.

01

Friction Saves Money

Adding a scan step feels slower, but catching one wrong item pays for all that lost time.

02

Rules Break Fast

A strict walking path is useless the moment a blocked aisle leaves a worker stuck.

03

Problems Just Move

Making picking faster in the aisles just piles up a bigger mess at the packing table.

Nizaar Irawan

Product & web designer focused on clean systems, smooth interactions, and meaningful details.

Contact

nizaarroby@gmail.com

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