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README.md

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 CRetention:
      Web application to support Customer Churn Management for Grocery Stores
   
+ ** Main objective**
+ The objective behind the problem statement is to create a machine learning 
+ model that predicts churn value for a retail grocery store and compute the 
+ overall churn rate for a given period. To assist businesses presenting 
+ personalized customer retention plans to reduce the churn rate of
+ business deliverables.
+ 
+  ** Main Research questions**
+* What features can be used in order to build a predictive web-based solution to
+achieve effective customer retention?
+* What methods/solutions can be recognized in order to increase the customer 
+service?
+* Identifying customer purchasing behavior with market basket analysis. 
+* Why most products get no profit through the grocery stores?
+* What are the types can be profitable from customer service?
+
+**Individual research question(IT18185126)**
+mostly product get expired and wastage sometime because those items can’t be
+stock long time or those products are not demanded. 
+
+People visiting to the grocery shop weekly and they are going to choose the 
+products with look on the quality of the product, price of the product and
+brand name of the products but they can not find products on store
+
+In the marketer day to day there will be introducing a new product or new brand
+there will be stock in inventory stuck customer are refused to buy those items. 
+
+In unexpected time products get demand, products will not available to buy or
+sale. 
+
+The overall country economy will be an issue to get unprofitable products on 
+some time periods. 
+
+**Individual research question(IT18112474)**
+One-to-one personalized marketing system through social media and email systems
+to recognized customers using transactional data analysis results. 
+
+Customized offers promoting according to purchase habits and interest of the
+loyal customers. (Combo packs, discount offer, promotions)  
+
+Gathering data on customer behaviors and habits separately to form beneficial 
+customer attraction strategies.  
+
+Understanding customer to suggest ideas to improve the store in more convenient
+and effective shopping service.
+
+**Individual research question(IT18156898)**
+Using an existing dataset to find the current churn rate, already and to be 
+churned customer list with reasons to churn. 
+
+Using the obtained data suggest more effective churn prevention strategies. 
+
+Connecting to the market basket analysis to get promoting item set details and 
+use forecasting to obtain selling rate according to different price ranges. 
+
+Identifying limitations and future research area. 
+**Individual research question(IT18183450)**
+What are the customer habits? 
+
+What are the customer behaviors? 
+
+Is there any relationship between the items that customer buys? 
+
+
+** Individual Objectives(IT18185126)**
+Analyze the historical patterns of sales of the customers and suggest the 
+Stock-In items/item quantities for specific time periods.
+ **Individual Objectives(IT18112474)**
+ Analyzing individual customer profiles and providing customer personalized
+ marketing offers for the customer.
+** Individual Objectives(IT18156898)**
+Analyzing number of visits of customers and predicting customers to be dropped
+out so that necessary actions can be taken and pricing suggestions to attract 
+more customers.
+** Individual Objectives(IT18183450)**
+Analyzing customer purchasing behavior and identifying item sets that occur 
+frequently to suggest discount item sets to make personalized offers.
+