Shopify Estimated Delivery Date
Reduce shipping tickets with Estimated Delivery Date App!
Listed in categories:
ProductivityE-CommerceDelivery




Description
The Estimated Delivery Date App (EDDETA) is designed for Shopify users to automate and display real-time shipping estimates and delivery timelines across product pages, cart, checkout, and order emails. It helps reduce shipping-related inquiries by providing clear delivery expectations with customizable messages based on various parameters such as product collection, country, inventory, and more. The app features animated ETA messages and supports multiple languages, making it ideal for global businesses.
How to use Shopify Estimated Delivery Date?
To use the Estimated Delivery Date App, install it from the Shopify app store, configure your settings to customize delivery messages based on your products and customer locations, and integrate it with your product pages, cart, and checkout processes. The app will automatically calculate and display estimated delivery dates to your customers.
Core features of Shopify Estimated Delivery Date:
1️⃣
Automates real-time shipping estimates and delivery timelines
2️⃣
Customizable delivery messages based on product and location
3️⃣
Supports multiple languages for global reach
4️⃣
Animated ETA messages for enhanced user experience
5️⃣
Dashboard for user engagement and ETA impressions tracking
Why could be used Shopify Estimated Delivery Date?
# | Use case | Status | |
---|---|---|---|
# 1 | E-commerce businesses wanting to reduce shipping inquiries | ✅ | |
# 2 | Global retailers needing to provide accurate delivery dates in multiple languages | ✅ | |
# 3 | Shopify stores looking to enhance customer trust with clear delivery expectations | ✅ |
Who developed Shopify Estimated Delivery Date?
SetuBridge is a developer based in Ahmedabad, India, known for creating user-friendly Shopify apps that enhance e-commerce experiences. They focus on providing responsive support and innovative solutions to help businesses optimize their online operations.