We offer wide range of services
in various industries

We have over 15 years of experience in the use of analytics, AI and big data in marketing. We have implemented many customer centric solutions for retailers, telcos and banks in Poland and CEE region.

Retail

Retail

Customer centric approach assumes building long term relationship with a customer by delivering smart conversation based on his attitudes, behaviours and needs. It requires integration of customer analytics and CRM.

Since there is no average customer, key shopping missions and segments can be identified using analytics and AI.

Recommendation systems help tailor promotions, discounts and products to delight the customers and optimize the company’s margin, stock and marketing budget. Each customer gets personalized offers with products recommendations.

Telco

Telco

Developing relationship with a customer in telco needs understanding their needs and fulfilling it throughout their life cycle. At the very beginning we try engaging them with the offers indicated by propensity models.

Later on based on the customers headroom, usage, technical possibilities and other insights a Next Best Offer solution recommends the best offer to delight a subscriber and empower up-sell and x-sell strategies.

To identify groups of customers with the same behavioural profiles behavioural and deterministic segmentations are created.

Estimating the leaving probability, when the customer is in the End Of Promotion period, requires implementing churn models and embedding it into the retention process.

Banking

Banking

Omnichannel and real-time customer centric approach to customer development in banking is a must.

Based on the customer profile, context information and credit scoring a Next Best Offer solution recommends the best offer to delight a customer and empower up-sell and x-sell strategies.

To identify groups of customers with the same behavioural profiles behavioural and deterministic segmentations are created.

Estimating the leaving probability, when the customer's usage drops or other event occurs requires implementing churn models and embedding it into the retention process.

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