Shopify App : TasteGuru Recommendations

AI-Powered Cross-Sell and Upsell Smart Product Recommendations

About TasteGuru Recommendations

Powered by Real Data Science : TasteGuru Recommendations uses Amazon-like machine learning algorithms that are proven to increase e-commerce conversion rates and the AOV.

True Personalized Suggestions : Our AI is trained on 300,000+ product listings and thousands of consumer taste profile data and continues to learn the more you use the app.

100% Free for Small Merchants : TasteGuru Recommendations is 100% free for small merchants and offers a 14-day trial for stores with 50+ SKUs and over $1,000/month revenue.

Description

Why do you need personalized product recommendations?

  • Personalization is the #1 way to increase e-commerce conversion rates, average order value, and create a positive shopping experience for customers.
  • According to research, 86% of consumers believe that personalization affects their purchasing behaviour (source – Infosys).
  • In e-commerce, personalization has shown to lead to a 67% transaction value, 300% conversion rate, and 7% annual revenue increase (source – SmartFocus).
  • Despite privacy concerns, 73% of consumers prefer to do business with brands that use their personal information to make their shopping experiences more relevant (source – Digital Trends).

Why choose TasteGuru Recommendations?

  • Our recommendations engine is highly accurate, adheres to the industry’s best practices and is built by a team of data scientists with years of experience building enterprise-scale AI solutions.
  • TasteGuru Recommendations is user-friendly and easy to install: the whole installation process for the home widget can be completed in three easy steps!
  • We are committed to delivering exceptional customer support and are happy to help you with any questions you may have. Not finding a feature you are looking for? Let us know and it might make it into the next update!
  • Last but not least, TasteGuru Recommendations is completely free for small stores and has a free 14-day trial for everyone else. No credit card information required, no hidden costs, it is completely risk-free!

What is included in the app?

Our product consists of two solutions:

  1. Amazon-like recommendation widget that can be installed on the home page, product page, collection page, and cart page. For each page, the widget can be set to use one of six recommendation models:
    • People with similar tastes also like
    • Products that are similar to this one
    • Trending
    • Bestsellers
    • New products
    • Try something new
  2. Taste-based Recommendation Quiz for beers and wines: a short and fun quiz that utilizes AI to help customers discover products according to their taste profiles. Once the app is installed, our AI continues to refine each individual's taste profile using their interaction and purchase data.

So how does it REALLY work?

After you install the app, our AI will start tracking and analyzing your customers and products. It will match your product listing with a database of consumer taste profiles and start training itself to recognize your customers’ behavioural patterns and taste preferences based on the actions they take on your store.

About TasteGuru

We are passionate about bringing data science solutions to businesses of all sizes and helping small businesses succeed. Check out the developer website to learn more about us and the products we offer.

App Images
Launch date
April 08, 2020
App rating
4.0
Top features

Seamless workflow: use directly in Shopify admin

About the Author

Matej Kontros

Matej Kontros is an E-Commerce expert and app developer with over a decade of professional experience in IT.

Matej has worked for organisations of all types and sizes, including global players, startups, and agencies. He designed, developed, and maintained complex projects.

Matej's expertise includes e-commerce, software engineering, web development, systems administration, internet security, managing projects, and building teams.

Visit his website at [ Web Linkedin ] or contact him at matej@kontros.com.