Clothing, entertainment, food, books, cosmetics, toys, electronics…
85% of users buy online, this translates into several billion potential customers worldwide.
But retailers face certain challenges that ultimately lead to two key objectives needed for success:
Increased rate of spending per visit
The ability to match products and customers consists of two main variables:
Product affinity
The affinity of the product to the preference and interest of the customer.
Predisposition to purchase
Act at the precise moment when the customer is most likely to buy.
It is necessary to impact with the most appropriate product at the most appropriate time for a conversion.
The precision in the combination of these variables will also reduce one of the most worrying ratios for retailers: abandoned shopping carts, what means: sales processes that have not yet been concluded.
The solution involves a recommendation platform that uses AWS Personalize and combines:
A solution by Keepler
Product information
Customer information
Business
variables
With this information, we can make an impact on the key moments of the vendor-customer relationship:
An e-commerce recommendation platform developed by Keepler is not a standardized service, but offers a differencial value compared to other solutions.
It reduces the time to deploy a recommendation platform based on AWS Personalize by up to 5 weeks of development.
And it uses a system of ready-made pipelines to test different models and parameter settings and find the recommendation model that best fits your business model.
Deploy AWS Personalize
faster!
At Keepler, we build your custom recommendation system to improve the e-commerce sales success rates of your business model.
Contact us and let’s talk.
