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Telecom industry has become one of the leading companies in the entire world. To grow further in this competitive world, it is important for companies to lessen the probability of churn. Churn is the shifting of customers across various service providers. One of the most important task that Telco industry has to deal with is predicting churn. Customers churn due to several factors including the exciting offers provided by competitors. Churn rate has an significant impact on the lifetime of customer. As churn has a direct impact on the revenue of industry, companies are looking forward to model with best accuracy. In the proposed system model is developed using Machine Learning. Companies will be able to identify the consumers who are most likely to leave and the causes influencing them with the aid of machine learning models. This data can be used by the service providers to improve their services and thereby reduce churn.
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Stored only when both papers are in the corpus — 11 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.