AI FOR E-COMMERCE

                   We know how to use AI to better                     understand your customers

Our algorithms help e-commerce businesses to achieve higher sales, profit and customer satisfaction.

WHY USE AI IN E-COMMERCE?

It enables a truly customer centric approach

AI not only allows to intereact with a large number of customers simultaneously, it can do so differently with each of them.

It creates efficiency through process automation

Many processes can be automated and sped up by AI, allowing workers to focus on more value-adding tasks.

It allows for next level of personalisation

AI helps to understand behaviour and desires of each customer in detail, thus informing the optimal way of engagement.

It has high ROI

Our AI powered analytics can help you achieve significant improvements in business performace. 

HOW WE OPERATE

Demo

We analyze a sample of your data to test the potential that AI can bring to your business

Development

We develop a customized AI powered solution that addresses your business needs

Roll-out

We roll out the customized solution within your IT systems

OUR USE CASES 

Demand prediction model

For a textile business client with 7,000 products delivering to 6 different markets, we developed a demand prediction model that helps them optimize their inventory management.              

Go to use case

Propensity models for marketing

We have developed several propensity models that help our clients improve efficiency of their marketing campaigns. 

Recommendation engine 

A retailer with over 500k customers and 60k products was looking to increase cross-selling and up-selling on their newly developed app. We developed a recommendation engine that displays the most relevant products.

Go to use case

Dynnamic pricing model

A leading e-commerce business approached us to help them improve their dynamic pricing strategy for their c.200k listed products. 

Customer churn prediction

Our solution identified customers that are likely to sever their spending so that the e-shop could contact them in time with a friendly offer and ignite them into loyal customers again.                                             

Go to use case

Micro-segmentation model

Our client wanted to better understand their customers to inform their marketing campaigns. We helped them achieve that by clustering the customers into several micro-segments.