About the Product
A hyper-personalized recommendation engine that can process many signals, including customers’ needs, looks, budget, demographics, and activities on the internet.
Industry:
E-commerce, Personalization, AI Recommendation Engines
Location:
Asia-Pacific
AI that gets better at understanding your customers over time
Track your customers' needs, looks, and demographics
Increase your order conversion rates by 35 to 40%
The Situation
Customers don’t always see the products they want to buy and depend on online stores to provide these items for them. Your customer probably spends hours browsing your webpage, looking for the perfect product. They need an intelligent recommendation engine to help them find what they’re looking for.
Most e-commerce platforms only recommend similar products to a product that the user is watching. Such systems do not have any personalization as the recommendations are almost identical to every user watching the same product.
Some personalized recommendation engines don’t work well, even when trained with large-scale datasets, because they fail to capture essential features within the customer journey which drive sales.
The Solution
To optimize your sales, you need a hyper-personalized recommendation engine that can process many signals, including customers’ needs, looks, budget, demographics, and activities on the internet. We are experienced in designing, developing, and maintaining hyper-personalized recommendation engines for some of the largest e-commerce brands in the world. Our systems can capture and process thousands of features from your users to provide them with the most relevant suggestions. Don’t worry if you don’t possess past customer data to train our recommendation engines. Our systems learn itself on-the-fly and only get better at understanding your customer irrespective of their race, gender, or age.
FRAMEWORKS USED
