How to Test Delivery Tracking on Web (Complete Guide)

Delivery tracking is a critical feature in e-commerce Web applications, allowing customers to monitor the status of their orders. However, this feature can be prone to errors, impacting user experienc

Introduction to Delivery Tracking Testing

Delivery tracking is a critical feature in e-commerce Web applications, allowing customers to monitor the status of their orders. However, this feature can be prone to errors, impacting user experience and ultimately, business revenue. Common failures in delivery tracking include incorrect tracking information, failed updates, and inaccessible tracking details.

What to Test in Delivery Tracking

To ensure a seamless delivery tracking experience, the following test cases should be considered:

• Happy path scenarios:

+ Successful tracking number generation and display

+ Correct update of delivery status (e.g., "shipped," "in transit," "delivered")

+ Ability to view tracking history

• Error scenarios:

+ Invalid or missing tracking number

+ Failed tracking number generation

+ Error handling for external shipping carrier APIs

• Edge cases:

+ International shipping with varying address formats

+ Support for multiple shipping carriers

+ Handling of cancelled or returned orders

• Accessibility considerations:

+ Screen reader compatibility for tracking information

+ High contrast mode support for tracking details

+ Keyboard-navigable tracking interface

Examples of specific test cases include:

• Verifying that the tracking number is displayed correctly for different types of orders (e.g., domestic, international)
• Testing that the delivery status is updated correctly when the order is shipped, delivered, or cancelled
• Ensuring that error messages are displayed correctly when an invalid tracking number is entered

Manual Testing Approach

Manual testing of delivery tracking involves simulating user interactions to identify errors and areas for improvement. Here's a step-by-step approach:

1. Test environment setup: Configure the test environment to mimic real-world scenarios, including different browsers, devices, and network conditions.
2. Place an order: Complete the checkout process to generate a tracking number.
3. Verify tracking number display: Check that the tracking number is displayed correctly on the order summary page and in the user's account.
4. Test tracking updates: Simulate updates to the delivery status (e.g., "shipped," "in transit") and verify that the tracking information is updated correctly.
5. Error handling: Test error scenarios, such as entering an invalid tracking number, to ensure that error messages are displayed correctly.
6. Accessibility testing: Use tools like screen readers and high contrast mode to test the accessibility of the tracking interface.

Automated Testing Approach

Automated testing of delivery tracking can be achieved using tools like Selenium or Playwright. Here's an example of how to use Playwright to automate testing of delivery tracking:

const { test, expect } = require('@playwright/test');

test('delivery tracking test', async ({ page }) => {
  // Place an order and generate a tracking number
  await page.goto('https://example.com/checkout');
  await page.fill('input[name="shippingAddress.firstName"]', 'John');
  await page.fill('input[name="shippingAddress.lastName"]', 'Doe');
  await page.selectOption('select[name="shippingMethod"]', 'ground');
  await page.click('button[type="submit"]');

  // Verify tracking number display
  const trackingNumber = await page.textContent('.tracking-number');
  expect(trackingNumber).not.toBe('');

  // Test tracking updates
  await page.goto('https://example.com/order-summary');
  const deliveryStatus = await page.textContent('.delivery-status');
  expect(deliveryStatus).toBe('Shipped');
});

CI/CD integration can be achieved using tools like GitHub Actions, which can run automated tests on each code commit.

Autonomous Testing with SUSA

SUSA's autonomous testing platform can test delivery tracking on Web applications without the need for manual scripting. SUSA's 10 user personas, including the curious, impatient, and accessibility personas, can catch various issues related to delivery tracking, such as:

• Curious persona: Tests happy path scenarios, such as successful tracking number generation and display.
• Impatient persona: Simulates user interactions to test error handling, such as invalid tracking numbers.
• Accessibility persona: Tests accessibility considerations, such as screen reader compatibility and high contrast mode support.

SUSA's cross-session learning feature allows the platform to get smarter about the application with each test run, enabling it to identify more complex issues over time. Additionally, SUSA's flow tracking feature provides PASS/FAIL verdicts for critical flows like login, registration, and checkout, ensuring that delivery tracking is thoroughly tested. Coverage analytics are also provided, including per-screen element coverage and untapped element lists, to help identify areas for improvement.