DataSentics

PX360 - Personalization for Retail

Introduction

Collecting all the data that can be subsequently used to predict user preferences and behavior can be automated by machine learning. What if you could combine internal and external information about your retail customers and process it to offer the right product to the right customer? 

Business case 

It’s becoming increasingly important for retailers with a large base of potential or actual clients to collect and consequently analyze their customers’ digital behavior. The owners of the online shops and other platforms can then use the data to predict their actions on the website, recognize what products they prefer, and offer them on time.

Solution

Solution PX360 offers 360-degree customer views, thanks to collecting all possible information, including traditional data such as client transactions, preferences, interests, communication history, customer service interactions, and digital data like website interactions, purchasing data, social media behavior, and third-party data, geographical data, etc.

All relevant information is stored in one place and is easy to read, allowing AI/ML to predict what product customers would, with the high probability, buy next.

The retailers can also use this innovation alternatively if they need to understand what drives customers to become their clients and then apply gathered data to improve the marketing campaign.

Benefits

  • Higher ROIs driven by customers’ loyalty 
  • Prepare marketing campaigns more accurately
  • Ensure you use the full potential of your existing customer 
  • Better customer service thanks to personalized experience communication 

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