Created on 18th August 2020
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Business Problem:
Following the debacle of the 2008 subprime financial crisis, the Reserve Bank of India(RBI) resorted to extreme accommodating monetary measures. Banks, whose principal source of income largely depends on the interest rate set by the RBI were hurt. In an effort to counter these measures, banks were left with no choice but to find alternative sources of income, which in essence have consisted in containing costs and reviewing their pricing policies by charging higher commissions. Such measures have had a negative impact on customer satisfaction, and consequently have led to increased levels of customer churn. Banks counter customer churn using traditional approaches of marketing which waste a lot of time, energy and resources.
The need of the hour is a strategy that focusses only on the customers who are at a high risk of churning out. Market Guru is an end to end Customer Relationship Manager that enables the decision makers at your organization to formulate precise customer retention strategies thus empowering your organization to save resources spent on customer retention campaigns and employ a focused marketing approach. The final product is aimed at the decision makers of organizations in the banking sector.
How does Market Guru empower your organization?:
1.Prima facie analysis shows that Market Guru enables you to save 76% of time, energy and resources spent on customer retention campaigns.
2.Enables you to articulately plan your customer retention campaign by zeroing in on the most statistically significant factors that are impacting the customer churn at the organization.
3.Enables you to employ a personalized marketing approach towards your customers, hence retaining them.
4.Automates the end to end process of Analytics and model buiding and hence eliminates the need for a Third Party Analyst; thus, makes your organization Atmanirbhar!
1.Planning the Design and the data flow in the application was a major challenge as the web application was supposed to be deployed to the web.
Faced bugs while creating the pickle file of the model.
The deployment took 1 complete day due to miniscule mistake in the setup file.
Technologies used