Introduction to NS Estimated Delivery Date

What is NS Estimated Delivery Date?

NS Estimated Delivery Date provides customizable and specific estimated delivery date messages on your store, tailored to different languages, countries, cut-off times, and holidays, to enhance customer trust and minimize cart abandonment.

This introduction will walk you through the app’s key functions and how to set up your delivery date.

What can you do with NS Estimated Delivery Date?

Integration with most themes – No coding required

Integrate with most Shopify themes, no coding needed.

Adapts across the store’s design, ensuring a consistent look and feel.

Display Delivery Estimated Dates

Show estimated delivery dates for products on several pages: Product Page, Checkout Page (new), Cart Page (new)

Enhance customer experience with clear information on delivery expectations.

Customize widgets with various text settings

Tailor widget appearance to match your store’s branding.

Customize text settings, padding options, and date formats for an appealing presentation.

Make delivery information more noticeable through dynamic and animated messages.

Configure working days, cut-off times & holidays

Calculate delivery times by configuring store working days and cut-off times.

Account for holidays to provide realistic delivery estimates.

Sync unlimited products and set your product’s ETA dynamically

Customize and manage delivery timelines for your entire inventory without manual updates.

Set unique delivery dates using the Collection Rule and Product Rule section.

Set country-specific delivery dates, showing estimates by visitor location (new)

Mobile-responsive widgets that work well with most themes, with no coding required.

Who should use NS Estimated Delivery Date?

NS Estimated Delivery Date is perfect for Shopify store owners and administrators aiming to showcase product delivery dates using a dynamic timeline. Whether you’re a small business or a large e-commerce enterprise, this app is an essential tool for improving the customer shopping experience and optimizing sales.