How machine learning can enhance the customer experience in your eCommerce business
Every time a user loads a page on your store displaying personalized recommendations (e.g. a product page), an API request is made to our servers. You only pay for the number of requests made from your website.
|Recommendations per month||Price per month||Additional recommendations|
|Up to 10,000||$50.00||+ $1.00 per 1000|
|100,000||$140.00||+ $0.85 per 1000|
|200,000||$225.00||+ $0.60 per 1000|
|500,000||$405.00||+ $0.50 per 1000|
|1,000,000||$655.00||+ $0.40 per 1000|
|5,000,000||$2255.00||+ $0.35 per 1000|
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Astro-Watches offers high quality watches and accessories to its customers. With 600,000 monthly users, their product pages receive around 2 million views a month. Using Qanuk.ai, they can provide their users with relevant behavioural recommendations based on customer tastes and habits. Each product page load equals one Qanuk API request, so the monthly cost is $1055. (Cost for visual-based recommendations is the same).
Mololo-Apparel is a large-sized online fashion store. With 8,000,000 monthly users, their product pages receive around 150 million views a month. To improve their user engagement and retention, they can use Qanuk.ai to provide visual recommendations based on product similarities. Each product page load equals one Qanuk API request, so the monthly cost is $53,005.
If you have a development team on staff, you can save money on Qanuk by using your own local database. Visual recommendations are updated once a day for all products and you can fetch all recommendations to your local database in 100 recommendations per batch, which lowers the cost for you.
Learn more about behavioral and visual recommendations