Free template: count days between dates within your ShipHero data

Count days between dates within your ShipHero data without writing a single line of code.

The Parabola Team
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Transform your data in five easy steps using Parabola's drag-and-drop interface, powered by AI.

  1. Set up your data source by creating a new Parabola flow and connecting your ShipHero account. This creates your workflow foundation.
  2. Select the date fields you want to analyze from your shipping data. Focus on relevant shipping and delivery timestamps.
  3. Use Parabola's date calculation tools to specify your date comparison logic. This step lets you define how days should be counted.
  4. Apply any additional transformations needed, such as grouping or filtering based on date ranges.
  5. Generate your results by previewing the calculated data and running your automated flow. Once configured, this process will sync automatically.

How to use ShipHero with Parabola

Parabola seamlessly integrates with ShipHero to help you automate your data analysis and reporting processes without any coding required.

  • Direct API integration for real-time data access
  • Automated data refresh schedules
  • Custom data transformation capabilities
  • Easy-to-use visual interface
  • Powerful analytics and reporting features

Retrieving data from ShipHero

Getting started with ShipHero data in Parabola is straightforward using the Pull from ShipHero step. This step allows you to access various types of data from your ShipHero account, including orders, inventory, and shipping information.

Key features

  • Secure API connection to your ShipHero account
  • Multiple data type selection options
  • Customizable date ranges for data pulls
  • Automatic pagination handling
  • Real-time data refresh capabilities

How to use

  1. Drag the Pull from ShipHero step onto the canvas
  2. Using our ShipHero integration how to doc, authenticate the API integration
  3. Use one of the pre-built API connections to pull in an object from ShipHero, specifying the fields you'd like to pull and date range
  4. Run the step to pull in your data

How to compare dates with Parabola

Once your ShipHero data is imported, you can use the Compare dates step to calculate the time difference between any two date fields. This powerful feature allows you to perform complex date calculations without writing any code.

Key features

  • Flexible date format support
  • Multiple time unit options (days, months, years)
  • Custom output formatting
  • Batch processing capabilities
  • Error handling for invalid dates

How to use

  1. Add the Compare dates step to your Flow
  2. Select your input columns containing the dates or compare a column against the current date/time
  3. Choose your preferred output time unit
  4. Name the newly created column with the different calculation
  5. Run the step to calculate date differences

Practical use cases and examples

Calculating date differences in your ShipHero data can provide valuable insights for various business applications. Here are some common use cases that can help optimize your operations.

Order processing efficiency

Track the time between order placement and fulfillment to identify bottlenecks in your processing workflow. This information can help you optimize staffing levels and improve overall operational efficiency.

Delivery performance analysis

Compare promised delivery dates with actual delivery dates to monitor carrier performance and ensure customer satisfaction. This data can inform future shipping carrier selections and help manage customer expectations.

Inventory aging tracking

Calculate how long specific items have been in inventory to better manage stock levels and implement effective inventory rotation strategies. This helps prevent overstock situations and optimize warehouse space utilization.

Using Parabola to analyze date differences in your ShipHero data provides valuable insights that can help optimize your operations and improve customer satisfaction. By automating these calculations, you can save time and make data-driven decisions to grow your business.