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Marketplace delivery date audit

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How to automatically audit marketplace delivery dates

Marketplaces like Amazon, Walmart, and eBay set strict expectations around delivery promises, and inaccurate delivery date calculations can lead to penalties, poor customer experience, and lower marketplace rankings. But auditing delivery dates involves constant data reconciliation between multiple systems, requiring teams to manually pull data and compare promised vs. actual delivery dates constantly.

With Parabola, you can automate the process by constantly auditing delivery dates between carriers and marketplaces before triggering alerts to notify your team about delayed deliver dates. Use Parabola’s data transformation steps to normalize carrier status updates and calculate variances between expected and actual delivery dates. Ensure compliance with marketplace SLAs — and maintain your good standing with key marketplaces — without the manual reconciliation.

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With Parabola, my team spends less time setting up reports and more time focusing on our core job requirements – eliminating human error and saving tons of time.
David Krohn
Systems Director at imogene + willie
Marketplace delivery date audit FAQs
What is a marketplace delivery date audit?
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A marketplace delivery date audit involves verifying that promised delivery dates on marketplaces like Amazon and Walmart align with actual carrier delivery data.

This process helps brands ensure compliance with marketplace SLAs, avoid penalties, and improve fulfillment accuracy.

How to audit marketplace delivery dates in Parabola?
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  1. Pull delivery promise data from marketplaces like Pull from Amazon Seller Central or Pull from API.
  2. Pull updated delivery date data from carrier portals using steps like Pull from API or Pull from email attachment.
  3. Standardize and clean data using steps like Edit columns and Standardize with AI to normalize marketplace and carrier tracking fields.
  4. Use the Combine tables step to match promised delivery dates with actual carrier delivery dates based on order or tracking number.
  5. Calculate delivery variances using the Compare dates step to determine the difference between promised vs. actual delivery dates.
  6. Identify late deliveries by applying an Add if/else column step to flag shipments where actual delivery exceeds the promised date.
  7. Automate reporting by setting up an Email a file attachment step to send reports on late deliveries to relevant teams.
Tips for auditing marketplace delivery dates in Parabola?
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  • Standardize order and tracking number formats early in your flow using steps like Edit columns to ensure seamless joins between datasets.
  • Normalize carrier status updates (e.g., Delivered, In Transit, Delayed) using steps like Find and Replace to improve variance calculations.
  • Consider automating alerts for late shipments using steps like Send to Slack or Email a CSV file to keep teams proactive.
  • Track trends over time by consolidating historical audit results using the Visualize step for better visibility into delivery performance.

What other resources are available on auditing marketplace delivery dates?
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  • To start building your own marketplace delivery date audit Flow, check out Parabola University.