Identify postpaid customers who are over or under-consuming their current service plan feature sets, recommending new postpaid plans that optimally balance consumer utilisation patterns across voice and data.
Our advanced analytics and decision strategies optimize the propensity and the credit risk of each consumer to recommend the best offers while minimizing the bad debt.
Continually assess subscriber activities, behaviours and propensities from monthly raw data to ensure the best possible fit of service plans to consumer interests.
Tailoring postpaid plans to subscribers according to their interests and usage significantly increases consumer satisfaction and loyalty.
Plans that best fit consumer needs and interests have the lowest churn rate, driving up loyalty and ARPU.
Our suite of advanced algorithms accurately predict which subscribers should be offered the service plans that best meet their needs. This drives up revenue, reduces bad debt, and minimises churn.