Exceed your customers’ expectations. Use the latest cloud technologies to improve the buying experience in just 4 weeks.

Help customers find what they need

PredSell is an AI-based product recommender for online stores. It analyzes the preferences of individual customers, and displays the most relevant product offers to satisfy their specific needs, increasing the likelihood of purchase. PredSell is based on the most recent Microsoft services, such as Azure Machine Learning and Databricks mechanisms. 

What to offer to each user?

Generate recommendations that are personalized for every visitor to your store.

How to guide brand new customers?​

Detect user intent with advance analytics, and introduce relevant products or discounts.

What to recommend when there’s plenty of choice?

Use Machine Learning to issue recommendations based on real-time stock levels.

Infuse your data with technology to meet your customers’ expectations at the most crucial touchpoints:

Boost profits

Don’t miss out on new sales – get relevant recommendations from the first entry to your online store.

React faster

No more missed connections – introduce real-time offers and suggestions based on customer intent.

Stay ahead

Don’t let technology hold you back – use cloud-powered AI to always get the latest improvements straight out of the box.

Learn customer preferences

Leave out the guesswork – help your customers find the product they want, need, and wish to buy.

Dawid Detko

Offer your customers more with personalized recommendations

What is the implementation plan?

Take advantage of the cloud and see first results in just 4 weeks:

1 Discovery and ideation

Tell us about your requirements and current environment, and we’ll work with your team to agree on the criteria of success for the project. 

Market basket analysis

Market basket analysis will give us a better view of the transaction patterns and customer behavior, based on which we will be able to prepare recommendation engine. 

Basic recommender

First, we will deliver the basic system, that recommendations are based on, e.g. the most frequently purchased products in a given category. 

4 AI-based recommender

We’ll implement an advanced AI-driven recommender, based on user preferences, behavior, and similarity to other consumers.Your customers will enjoy personalized offers and recommendations throughout your online store, boosting sales and cart values.

How does it work?

PredSell uses the real-time data from customer’s interactions and their user attributes to generate relevant recommendations, which can be used for cross/up sell on your product pages, shopping carts, newsletters and many more!

Predsell schema

Why us?

We have built end-to-end data solutions for thousands of users at multiple organizations. See what they have to say:

Thanks to Predica, our organization has now correctly structured data. It allows us to use insightful dashboards and provides a single source of truth to our stakeholders. It helps us to manage employees and resources more efficiently and facilitates the decision-making process.
Florent Cornu
IT Finance Business Partner at Maersk
Our aim was to be able to make decisions more quickly, but we also required a structured data model. We used to rely on multiple spreadsheets edited in various ways by many people. Predica's team helped us consolidate our data sources into a single data factory. It would then feed our data model and ultimately allowed us to gain clear business insights in Power BI. I'm very happy with the result of our collaboration with Predica, and do recommend its services.

We are born data wizards

Our people have unique knowledge and practical experience in acquisition, integration and processing any amount of data to provide businesses like yours with valuable insights.

We’ve got a track record of delivering within scope

Our consultants work across industries to help clients achieve their business goals with proven solutions for cloud-specific challenges

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Get in touch with us and transform your customers’ experience!




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