New AI-powered Returns Forecast analytics and last mile carrier improvements

We’ve introduced a new Returns Forecast AI analytics tool to give returns insights, improved support for last mile carriers, and released a new version of the Salesforce Service Cloud app integration.

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New Features

Take a tour of the updates in our interactive demo below!

In addition to that, learn more about the new features in the following overviews.

📊 Analytics

Returns Forecast AI

We’ve added a new Returns Forecast dashboard in the Analytics module in the parcelLab Portal, leveraging on AI to provide estimates on return volume and trend anomalies. The insights from Returns Forecast help you to estimate return volumes to your warehouses and improve resource planning and operational efficiency.

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Returns Forecast dashboard in the parcelLab Portal's Analytics module

🚛 Carrier

Last Mile Carrier Status in the Portal and on the Order Status Page

Get full coverage of multi-leg deliveries with our comprehensive last mile carrier status updates. The status of parcels with the last mile carrier can be viewed via tracking records in the parcelLab Portal and on the Order Status page, which can display the handover event between the original carrier and last mile carrier if this information is available.

This allows your customers to seamlessly track the delivery status of their package for cross-border orders and empower customer service teams with complete visibility of tracking information to manage customer inquiries.

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Last mile carrier checkpoint events on the Order Status page

🛎️ Service

parcelLab Customer Service Integration for Salesforce Service Cloud (SFSC)

We have released a new version of the parcelLab Customer Service Integration for SFSC. The latest version includes a new alternative search field that replaces the previous email search field, enabling the use of alternative search queries to automatically locate orders in the app.

The order ID field is now an optional configuration for using the app. Additionally, the app features improved error management, providing more descriptive errors to enable better troubleshooting when using or configuring the app.

Learn more →