With Shipmondo Analytics, you gain access to a tool that helps you understand your business better and make data-driven decisions. Whether you want to analyze your orders, shipments, pick paths, fulfillment errors, or return orders, the tool provides in-depth insights into multiple aspects of your operations.

This means you can respond quickly to challenges, optimize processes, and strengthen your business.

Here, you’ll find an introduction to the different analytics available in Shipmondo and an explanation of how you can use them to optimize your business. We make it easy for you to turn data into action.

All analyses can be tailored to the period you want to explore—day, week, month, or year.

If you use our User Management feature (link), you’ll also receive employee-level data in several of the analyses. This makes it possible to use the tool as a development resource for individual employees to improve performance and reduce errors.

When you use Shipmondo Order Management, the order analytics provides insights into the orders and items imported into and processed via your Shipmondo account.

You’ll get an overview of how many orders come in, how many are shipped, how many are picked up locally, and the total number of items shipped during a given period.

The analytics also shows which products are sold the most, the countries the orders come from, and a breakdown of the number of items per order.

This enables you to make data-driven decisions regarding product purchases, sales strategies, pickup options, and more.

If you use our digital pick paths, the pick path analytics provides valuable insights into your picking operations. This includes data on how many pick paths are completed, how many items are picked, and how many orders are paused.

The analytics also offers detailed insights into employee performance in the warehouse. You’ll get employee-specific data down to the hour, which can identify efficiency levels and peak periods. This allows you to develop your employees and proactively increase productivity.

When using Shipmondo Order Management, the fulfillment analytics gives you insights into your pick success rate and associated fulfillment errors (picking errors).

With the fulfillment analytics, you can monitor errors in your deliveries, such as incorrect, excess, or missing items sent to your customers. The analytics also examines the solutions you use to address these errors, such as resending the missing item or refunding its cost.

This provides a unique opportunity to optimize your business. Order errors can be costly—not just for your reputation with customers but also for your bottom line.

Pro Tip: Many Shipmondo customers have experienced a reduction in picking errors to nearly 0% by using digital pick paths with built-in order verification during picking. This is due to features such as on-screen images and item scanning during the process.

Gain complete access to your shipping history with the shipment analytics. View data for all booked shipments and parcels across all carriers, or choose a specific carrier.

Get a comprehensive analytics of which shipping products and carriers you use most. See the average weight per shipment and how your shipping volume is distributed by country.

This analytics is particularly relevant when evaluating your choice of carriers, shipping volume, and delivery methods.

For return management, Shipmondo offers two solutions: the Basic Returns Portal and Return Management. When using Return Management, you’ll also gain access to a detailed analytics of your returns with the returns portal analytics.

The analytics of return data includes insights into which items are most often returned, the reasons your customers provide, and the most commonly used return methods.

The analytics identifies return frequency and patterns at the item level, offering unique insights into recurring return orders or specific return reasons for certain products.

With this analytics, you can quickly spot patterns in returned items and proactively adjust your products, descriptions, or other factors to reduce the number of returns.