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GENIEE RECOMMEND: Optimize your user experience with personalized AI recommendations

Posted: Mon Apr 21, 2025 10:16 am
by maimunameghla
"GENIEE RECOMMEND" is recommended when utilizing the recommendation function on existing e-commerce sites or service sites.

GENIEE RECOMMEND employs AI recommendation technology based on unique logic, optimizing the user experience with personalized AI recommendations.

GENIEE RECOMMEND's AI recommendations are based belgium telegram data on various customer data and are analyzed from the following perspectives:

1. Correlation between users
2. Behavior on the EC site
3. User interests
4. Correlation between items
5. Understand and learn from browsing from recommendations
The strength of GENIEE RECOMMEND is its personalized product suggestions derived from these perspectives.

For inquiries and requests for information about GENIEE RECOMMEND, please click the link below.

>>> For inquiries and requests for information on GENIEE RECOMMEND, click here


AI -driven
personalized initiatives and
new experiences


In modern society, the overload of information has led to a problem of consumers becoming "content fatigued."
In this situation,
it is essential to eliminate unnecessary information and provide accurate information to the target audience. We will introduce some personalized measures
to deliver the necessary information in a pinpoint manner .


Click here to download useful materials for free


With personalized AI recommendations
Optimize your user experience
"GENIEE RECOMMEND"
Genie Recommends



ZOZOTOWN has implemented its unique "CFM (Customer Friendship Management)" strategy to deepen relationships with customers and promote personalized marketing. This strategy emphasizes detailed analysis of each customer's behavior and changes, and proposes the most suitable products and services at the right time.

Furthermore, they have established an in-house data analysis environment and implemented a rapid PDCA cycle. Through these efforts and improvements, they have not only improved customer satisfaction, but also improved marketing ROI and profitability.


Starbucks is working to improve the customer experience, centering on the "Starbucks Rewards" program, in which customers accumulate points called "Stars" every time they purchase beverages or food. This loyalty program is not just about rewarding points, but also aims to provide a personalized experience by delivering information based on purchase history and preferences.

In addition, Starbucks has improved convenience by introducing mobile ordering and a digital Starbucks Card, deepening and evolving its contact points with customers. By implementing measures that make customers want to continue visiting Starbucks, the number of members and usage rates have increased, and Starbucks has also succeeded in improving LTV.


Dinos Corporation develops product-driven, cross-channel marketing and practices one-to-one marketing based on customer data using Salesforce Marketing Cloud.

We designed scenarios for sending direct mail after customers abandon their shopping carts on e-commerce sites and suggesting related products at the right time, and we also put in place a system that combines digital and analog to approach each customer through the most appropriate channel.

Through one-to-one marketing that focuses on content and timing that will interest customers, we were able to increase direct mail open rates and CVR.

In order to shift from traditional mass marketing to one-to-one marketing, Skylark introduced the data mining software "SAP InfiniteInsight" and implemented highly accurate marketing measures using POS data and log data from the "Gusto app."

By establishing a system that uses a high-speed PDCA cycle to improve the efficiency and effectiveness of campaigns and coupon initiatives, it is now possible to provide each individual customer with the most appropriate offer at the right time.


Ikyu.com is based on data-driven management and promotes one-to-one marketing through personalizing search results and optimizing prices for each customer. It uses customers' browsing history and accommodation history to provide search results and coupons that are tailored to their individual preferences.

In addition, the company predicted purchase probability and amount in real time to provide accurate offers. Through personalization tailored to the needs of each individual customer, the company has achieved great results, such as increasing accommodation sales in 2022 and 2023 by 2 to 3 times compared to pre-COVID levels.