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With the retail market getting more and more competitive by the day, there has never been
anything more important than the ability for optimizing service business processes when
trying to satisfy the expectations of customers. Channelizing and managing data with the
aim of working in favor of the customer as well as generating profits is very significant for
survival.
for big retail players all over the world, data analytics is applied more these
days at all stages of the retail process – taking track of popular products that are emerging,
doing forecasts of sales and future demand via predictive simulation, optimizing placements
of products and offers through heat-mapping of customers and many others.
 
DATA AVAILABILITY:
Customer: Customers information including demographics
Transaction: Transactions of customers
Product Heirarchy: Product information (cateogry, sub category etc...)

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Retail Data Analysis using Python

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