SuperOrder logo

SuperOrder

Free App

Automatically upsell products based off store order history

Quick loading
Simple ui
Non-intrusive
Machine learning algorithm
Oneclick upsell

About SuperOrder

Launched May 16, 2024

Categories

Built by Singh Johnstone Partners

Description

SuperOrder utilises your previous sales data to train a machine learning algorithm to select and display the product with the most relevance to each customer's order for OneClick post-purchase upsell. With a simple user interface, forget the days of A/B testing and focus on increasing average order value (AOV) by upselling curated upsells for each customer.

SuperOrder utilises your previous sales data to train a machine learning algorithm to select and display the product with the most relevance to each customer's order for OneClick post-purchase upsell. With a simple user interface, forget the days of A/B testing and focus on increasing average order value (AOV) by upselling curated upsells for each customer. more
  • Machine learning algorithm selects upsell product for each customer individually
  • Simple UI reduces merchant's time spent in the app
  • OneClick upsell ensures the customer does not have to re-enter payment info
  • Algorithm will not interfere with current sales as it is only displayed after
  • Quick loading time ensures customers are not left waiting for the upsell

Pros

  • Utilizes previous sales data to train a machine learning algorithm for personalized upselling
  • Increases average order value (AOV) with curated upsells for each customer
  • Simple user interface minimizes time spent by merchants in the app
  • OneClick upsell ensures customers do not need to re-enter payment information
  • Algorithm does not interfere with current sales as it is only displayed post-purchase
  • Quick loading time prevents customer wait times and improves user experience
  • Seamless integration with Shopify
  • High conversion rate on upsells as reflected in user reviews

Cons

  • Limited information on potential customization options for merchants
  • Reliance on past sales data may not account for new product launches or changes in customer preferences

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