Smartly Product Recommendation

Develop by Anncode Solutions

$10-$50

/ Month

Free plan available 7 Days Free Trial

AI-driven app boosting sales with personalized product recommendations.

Seamless store integration

Ai-driven recommendations

Automated product suggestions

About Smartly Product Recommendation

Launched May 29, 2025

Built by Anncode Solutions

Email :

[email protected]

Address

EPIP Zone, Whitefield, Bangalore, KA, 560066, IN

Website Privacy policy

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Description

Boost sales with Smartly AI product recommendation tailored to each shopper’s behavior and needs

Smartly Product Recommendation App helps merchants boost sales and improve customer experience by providing AI-driven product recommendation. It analyzes shopper behavior and purchase history to suggest the most relevant products, increasing average order value and conversion rates. By automating recommendation, merchants save time, reduce manual work, and offer a personalized shopping experience that keeps customers engaged and coming back.

Automatically suggest products based on customer behavior and purchase history.
Display "You may also like, "Frequently bought together," and more on site pages
Seamlessly plug into your store without coding.
Display personalized suggestions on key pages to drive engagement.
Widgets on Home, Product, Collection, Cart, Checkout, and Thank you pages

Pros

Boosts sales by providing personalized product recommendations.
Improves customer experience with AI-driven suggestions.
Analyzes shopper behavior and purchase history for relevance.
Increases average order value and conversion rates.
Automates recommendations to save time and reduce manual work.
Offers a personalized shopping experience that enhances customer engagement.
Integrates easily into stores without requiring coding.
Displays suggestions on various critical site pages to drive engagement.
Provides widgets for multiple page types like Home, Product, Collection, Cart, Checkout, and Thank you pages.

Cons

Reviews and specific cons about the app are not available, making it difficult to identify potential issues.
The effectiveness of AI-driven recommendations may vary based on data quality and store setup.
Potential dependency on AI system accuracy for customer satisfaction.