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Challenge

Hyper-personalization in product recommendation can increase click-throughs by more than 400%, but building a robust recommendation system requires an automated and integrated data pipeline, the development of a machine learning model and continuous monitoring of results. Performing these tasks in-house requires investment in the selection, recruitment and training of a specialized team, as well as investments in infrastructure.

Solution

We consolidate, process and analyze your customers' data and develop AI algorithms to deliver

sistema de recomendação de produtos

análise do comportamento e preferências das clientes

acompanhamento das mudanças de mercado

+115

ROI increase

Gains

Increased sales and revenue

The right product, offered to the right person at the right time, reinforcing their relationship with the brand. Intelligence predicts a satisfied customer's need and desire to buy.

More assertive marketing campaigns

We enable you to build assertive campaigns with a targeted focus on the right customers.

Improved brand penetration

We carry out a precise reading of profiles and generate new business opportunities to capture new leads.

Churn reduction

Satisfied and understood customers stay with the brand.

Better customer experience

Offer a personalized and unique experience for your customers with our AI solutions

Fostering a culture based on data and evidence

Break paradigms and hypotheses based on intuition. Exploring customer data promotes an evidence-based culture in your company and provides the basis for well-founded decision-making

What can we do for
your business?

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