A water distribution company with more than 500,000 customers needed to improve its collections. For this, it had five possible channels to contact its customers: calls, visits, SMS, letters and mails. The company wanted to know which customers to contact through each of the channels in order to maximize collection.
What started as a couple of proofs of concept ended up with a productive model from data ingestion to writing to the ERP.
To achieve this goal, two complementary models were developed:
At the end of their development, these models were integrated into the AWS cloud, automating everything from data processing to writing the results in the ERP.
detail of the monthly debt status of each client, including information on installments, agreements, etc.
each of the contacts made to customers through the five channels described above, according to date and result of management
category and type of customers, size, demographic classifications, among others.
7% improvement in effectiveness
More than 58,000 recommended contacts made
End-to-end automated model execution
We develop algorithms that help companies look into the future and make the decisions that shape their present"