UX Hotspot: Charge Code Entry Optimization

Charge codes are essential to how Amazon handles variable shipping costs—like weekend deliveries, weight thresholds, and geo-based pricing. Until now, adding them during onboarding was manual, error-prone, and disconnected, buried inside unintuitive override flows.

This feature is a micro-interaction within a system I designed at a zero-to-one engagement—but solving it required object modeling, user flow clarification, and systems-level thinking to reduce friction and increase data fidelity.

From foundational architecture to object relationships, from visual hierarchy to interaction flows, every layer of this tool was built from scratch—and had to be robust enough to scale across use cases, regions, and operational constraints.

The features shown in this case study—like charge code uploads or override handling—aren’t standalone deliverables. They’re components inside a system I architected. This is why each of my projects spans months: they’re not scoped as UI improvements. They’re full-scale product design initiatives built on infrastructure that never existed until I made it real.

  • Project Name TFS Simplified Onboarding
  • Description Hot spot focus on adding charge codes within an onboarding flow
  • Category Accounting Automation

The Problem

TPMs and TFS SDs are responsible for inputting charge codes—unique references used to apply payment rates in shipping contracts—during the onboarding process. These codes must be configured across two layers:

  • Default program configurations
  • Override configurations (for edge cases or geo-specific programs)

Currently, this task is handled entirely manually—often across dozens or hundreds of programs per work request—leading to inefficiency, inconsistencies, and burnout.

UX Goal

Reduce manual effort and cognitive overhead during charge code entry, while preserving user control and accuracy.

My Solution

I collaborated with the SDM to propose a semi-automated, template-driven approach that leverages system logic to support, not replace, human oversight.

Key Features:

  • Downloadable CSV Template

    Users populate a structured sheet with charge code data—this reduces interface interaction and leverages users’ fluency with spreadsheets.
  • System Logic to Auto-Assign

    The system processes the uploaded template and:
      • Identifies and groups duplicative charge codes across programs
      • Differentiates unique overrides
  • Populates free-text fields accordingly across both default and overridden program configurations
  • Manual Override Capability

    Users can still manually adjust or input charge codes if the upload fails or if exceptions arise.

Why This Works

  • Minimizes repetitive work
    Users don’t have to input the same codes multiple times across programs.
  • Respects technical constraints
    Rather than pulling from upstream systems (which is tech-intensive), this solution assumes user-supplied data is the input source—making implementation faster.
  • Handles verified and unverified codes
    System allows entry of unverified charge codes (from contracts not yet live in downstream systems), preserving forward momentum in onboarding.
  • Fits the power user
    TPMs and SDs are highly fluent in Excel. Leveraging their comfort with bulk data handling improves adoption likelihood.

Why This Matters

This micro-interaction touches on something larger: the balance between autonomy, scale, and auditability.

By creating a system that intelligently handles what is tedious for humans—but trivial for machines—we unlock time, reduce errors, and keep UX in sync with operational reality.

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The Solution

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