Here, i am suggesting the use of market basket analysis as follows:
1) Getting user features (e.g. usage, demographic, etc.)
2) Segmenting customers into groups based on their features.
3) Identifying purchasing/spending behavior regarding previous offers.
4) Use association rule mining (or market basket analysis) to extract rules.
5) Use these rules to give predictions about the next best offer for each user.
Any suggestions/improvements/notes are welcome. Thank you.
Dear Mohammed ,
First You need to do market survey of offers of opponent companies and then create the best possible offers for the customers by taking into considerations of theirs needs and locations and accordingly you can upgrade/create the offers in long run in Telecommunication so the customer can get the best offer as per your predictions and in the next slot the best offer for each customer can be made available.
All the best!!!
hello dear
here is scholar link:
https://scholar.google.com/
https://link.springer.com/
https://www.sciencedirect.com/
https://ieeexplore.ieee.org/Xplore/home.jsp
My suggestion is like Bhausaheb E. Shinde where he :
First You need to do market survey of offers of opponent companies and then create the best possible offers for the customers by taking into considerations of theirs needs and locations and accordingly you can upgrade/create the offers in long run in Telecommunication so the customer can get the best offer as per your predictions and in the next slot the best offer for each customer can be made available.
- Badges
- Science topic
- Similar topics
- Higher Education
- Universities