It is the largest benefits administrator in Brazil and provides access to quality healthcare for millions of Brazilians. Founded in 1997, it has over 1,700 employees and represents more than 4.5 million clients or beneficiaries.
Identify which leads are most likely to convert, the so-called “hot leads,” based on a score.
Distribute these “hot leads” among brokers with similar profiles (match).
Lumini was responsible for developing a Cognitive Lead Qualification Engine, utilizing advanced Artificial Intelligence & Machine Learning techniques.
Através de um algoritmo de Score e Propensão de Leads, calculamos a probabilidade de conversão individual para cada lead.
This algorithm is used to assign a score to potential customers (leads) based on their probability of being converted into sales. It is developed using historical sales data and information about the leads, such as their demographic characteristics, purchase behavior, and interactions with the company.
O resultado foi utilizado no segundo modelo, a Recomendação de Leads, onde foi feito um match, entre corretores e possíveis clientes.
Assim, desenvolvemos um ranqueamento entre os corretores, com maior propensão de venda, de acordo com suas características de vendas e atendimento, bem como a sua disponibilidade, mantendo o fair-play entre os corretores para garantir um atendimento mais equilibrado.
Leia mais: Qualicorp na imprensa – Últimas notícias
