Personalized product recommendation engine
Vue.ai’s product recommendation engine tracks website shoppers’ behaviour based on their user behaviour. We tracked their historical and live data and based on that we provide product recommendations to them. Every shopper should delight in getting an individualized shopper experience. personalized recommendations that convert 120% better.
Drive growth with personalized product recommendations. Make every customer feel special with 1:1 curated & personalized recommendations that convert 120% better.A personalized experience at every touchpoint. Delight every shopper with truly individualized shopper experiences and grow your revenue.
Build unique Style Profiles for each shopper based on their likes, affinities, and visual preferences.
Gauge shopper intent in real time with every click they make, to power relevant product discovery.
Deploy a variety of product recommendation engine strategies to improve shopper engagement and conversion.
AI-Powered Search and Sorting
Leverage the power of Image Recognition to serve individualized search results to every shopper.
2021 is the year that total global retail eCommerce sales are projected to reach $4.9 trillion and over 2.14 billion people worldwide are expected to buy goods and services online. With a majority of shoppers moving online, eCommerce has been on the hunt for a guide to capture, manage and use customer data to provide a personalization engine, i.e, a personalized online experience that aligns with the shopper’s needs in real-time.
In a physical store, shoppers have access to sales executives who understand their needs at the time, guide them to the most relevant product, describe it and recommend more products that they may like. Post which, shoppers can sample/ try these on to make an informed decision. But the convenience that comes with eCommerce has persuaded most shoppers to now buy online.
After all, 45% of consumers believe that the new shopping behaviours they adopted during Covid-19 have become “habits” that will continue post-pandemic. too. So, what would an internet equivalent of this physical experience look like? The answer is — an end to end personalization tool that shows up at every touchpoint of the shoppers journey.
What is eCommerce personalization?
Retail eCommerce Personalization is the delivery of personal experiences to every user by dynamically showing content, product recommendations, and specific offers which are unique to each and every individual. This is based on previous actions, browsing behavior, purchase history, demographics, and other customer data.
The pandemic has caused a culture shift where consumers are likely to be seeking out unique shopping experiences crafted just for them. 80% of shoppers are more likely to buy from a company that offers personalized experiences. Traditional methods of differentiation through segmentation and targeting in terms of recommendations, emails and discounts won’t cut it.
These are easy to imitate but are bound to fail with scale. Segments and discounts can be imitated but what cannot be imitated is the unique customer behavioral data. That is unique to every retailer on their site and they can further use that data to provide 1:1 dynamic personalization.
For example, if 10 customers buy sneakers and they all receive a prompt to buy the same pair of socks, that is not dynamic personalization. Instead, being able to judge if the shopper has recently bought a pair of socks and may not need one now; if not, recommending a pair of socks unique to every shopper’s actions, clicks and journey on the website is what dynamic personalization is. What retailers need today to secure an edge is to be able to provide personalization at every stage of the shopping experience. The challenge? With scale, this can be extremely tedious to achieve manually.
What are the challenges of adopting a personalization engine for eCommerce at scale?
While retailers like Amazon offer personalization at almost every step of the shopper journey, some retailers are still in the process of forming a personalization strategy and others that are yet to start thinking about offering personalization.