Empower Your Business With The Magic Of Machine Learning!
- +30 210 9701777
- Aristotelous 83, Athens 163 43
- contact@mobiplus.co
Empower Your Business With The Magic Of Machine Learning!
In-store personalization is the method of using technology and data analysis to provide consumers with unique experiences inside of physical retail locations.
The purpose of in-store customisation is to improve the shopping experience and boost client loyalty and happiness.
To achieve this, data on consumer behavior, preferences, and purchases are gathered, and the shopping experience is personalized using that data.
There are a number of in-store personalization choices, each with special features and functionalities. The following are some of the top in-store personalization possibilities:
Personalized product recommendations
Localized in store marketing
Way finding and navigation inside the shop
Kiosks and displays with interactivity
By the use of technology and data analysis, these solutions seek to provide consumers a tailored shopping experience by learning about their requirements and preferences.
Retailers may improve the shopping experience by using these solutions, which will enhance consumer happiness and loyalty.
MobiPlus Shopping Recommendation Platform:
mobiplus is a platform for shopping recommendations that uses machine learning and artificial intelligence to provide shoppers tailored product recommendations.
The platform uses user behavior, preferences, and purchase data to evaluate customer behavior and generate timely product recommendations.
The recommendations are shown in the retailers’ e-commerce platforms , in-store Annie intelligent shopping assistant, mobiplus app , retailer’s app, retailers contact center , and other places when the merchants connect through an API.
Key Features of MobiPlus Shopping Recommendation Platform:
Some of the key features of the MobiPlus shopping recommendation platform include:
Personalized product recommendations with seven recommendation engines.
Real-time predictive analysis
Unified recommender that learns from different ecommerce platforms
Integration with multiple data sources
Recommendations in multiple channels
Easy to use with no intervention from retailers
Benefits of MobiPlus Shopping Recommendation Platform:
By using the MobiPlus shopping recommendation platform, retailers can benefit from:
Increased customer satisfaction and loyalty
Improved sales and revenue
Better understanding of customer behavior and preferences
Increased efficiency and productivity
Enhanced shopping experience for customers.
mobiplus shopping recommendation platform provides a valuable tool for retailers looking to personalize the shopping experience for their customers. By utilizing artificial intelligence and machine learning algorithms, the platform provides relevant and personalized product recommendations, leading to increased customer satisfaction and loyalty.
Annie Intelligent Shopping Assistant
Annie is an intelligent in store shopping assistant that utilizes artificial intelligence and machine learning to provide customers with a personalized shopping experience.
It uses data on customer behavior and preferences to make product recommendations and answer questions in real-time.
It connects with mobiplus shopping recommendation platform for predicting and analyzing the shopping data. It displays product recommendations in digital display in store and shoppers Smartphone.
Key Features of Annie Intelligent Shopping Assistant:
Some of the key features of the Annie intelligent shopping assistant include:
Predictive personalization using mobiplus connecting through an API
Interaction through voice, text, and touch on the screen
Shopping preferences, shopping data and contact information acquisition from customers in store.
Integration with multiple data sources
User-friendly interface
Predictive Personalization:
Annie’s predictive personalization feature uses artificial intelligence and machine learning algorithms to analyze customer behavior, preferences, and purchase history to make relevant product recommendations in real-time.
Interaction through Voice, Text, and Touch on the Screen:
Customers can interact with Annie through voice, text, and touch on the screen, making it easy to use and accessible for all customers.
Benefits of Annie Intelligent Shopping Assistant:
The benefits of using the Annie intelligent shopping assistant include:
Increased customer satisfaction and loyalty
Improved sales and revenue
Better understanding of customer behavior and preferences
Increased efficiency and productivity
Enhanced shopping experience for customers.
Annie provides a unique and innovative solution for retailers looking to personalize the shopping experience for their customers. By utilizing artificial intelligence and machine learning algorithms, the platform provides relevant and personalized product recommendations, answers to customer questions, and an easy-to-use interface, leading to increased customer satisfaction and loyalty.
Read our book and learn why instore personalization and shopping data is the name of the game.
Conclusion:
For retailers looking to personalize the in store shopping experience for their customer’s mobiplus shopping recommendation platform with Annie intelligent in store shopping assistant can be a valuable tool.
The benefits include increased customer satisfaction and loyalty, improved sales and revenue, better understanding of customer behavior and preferences, and enhanced shopping experience for customers.
The future of in-store personalization solutions looks promising, with continued advancements in artificial intelligence and machine learning technology.
In the coming years, we can expect to see even more sophisticated and effective in-store personalization solutions, providing retailers with new and innovative ways to improve the shopping experience for their customers.
The use of these solutions is likely to become more widespread, providing customers with even more personalized and convenient shopping experiences.
With the increasing demand for personalized shopping experiences, the future of in-store personalization solutions is likely to be bright and continue to evolve and improve.
mobiplus member Elevate Greece
Confirmed Innovation.
Test out the Recommendation Engine for up to 20.000 euros in revenue from recommendations. No credit card required. Just enter your company information and we’ll contact you with all the details.
