Personalization & Recommendations

Mooga's AI framework takes into consideration several inputs such as customer's Dynamic Behavior & Interaction, Personal Preferences, Static Profile, Wisdoms of Crowd, Market Information, Content Metadata, Compliance Policies and Business Rules to build a "context" around every individual and understand his/her taste. This information is used to offer extreme Personalization to the end user. User saves time in navigation, gets content of his/her preference right on the screen and ends up making greater purchase.

Intelligent Campaign Management

Rather than spamming every customer with promotional campaigns without knowing the likelihood of response/conversion, Mooga lets businesses to manage campaigns much more intelligently. This new way of campaigning is based on the knowledge that Mooga builds from its previous interaction with customers. Customer profile/pattern which has been built during interaction with Mooga, relation built among the contents, top sellers, top viewed or business policies, etc. can be used to make campaign more effective for every user by promoting what "exactly" makes sense to an individual.

Prepaid Life Cycle Management

  • Churn Management

    The unique combination of BI 2.0 and Hybrid AI in Mooga allows for a superior "Real Time" discovery of patterns in customers' behavior which lets telecom companies to take actionable measures much before a subscriber churns away.

  • Personalized Offers

    Based on churn patterns/usage/subscriptions services of customers, Mooga can create highly personalized offers for "each user". This will help create new (or sustain) revenues for various offers provided by operators across any channel

  • Dynamic Overdraft Facilities

    Based on usage and top ups, Mooga can dynamically recommend operators the exact subscribers who may be allowed overdraft facilities again on a Real Time basis. This not only leads to increase in ARPU but also loyalty and retention

N=1 Customer Analytics

N=1 analytics is focused on analyzing one consumer/user at a time and providing personalized experiences. N=1 analytics may work in real-time if required. Analysis is done on continuous basis and is integrated into operational systems such that decision making time gets tremendously reduced. Analysis is done for a single customer at a time hence scalability and performance can very easily be achieved.

Transaction Monitoring

Monitor and report fraudulent, suspicious and abnormal activities happening during transactions on a Real Time basis thus enabling businesses to generate alerts and early warning signals based on these transactions so that possible losses can be stopped.

Anti-Money Laundering

Money laundering is making dirty money clean. Many countries have developed a legal framework to combat money laundering. iKen has a framework to solve issues of money laundering. The major modules in this framework include Client Risk Assessment, Transaction Risk Measurement, Behavior Detection, and Reporting.

Help-Desk & Self-Service

Mooga can help to find out which customers should be targeted for what kind of products or services (up-selling as well as for cross-selling) based on what transactions they do and what products they buy (or services they go for).

Customer Risk Management

Mooga can help businesses to control the risk associated with the customer usage, transactions, and behavior. Customer credit scores and product & service parameters get adjusted (for eg: Credit limit) as per the behavior of the customer.