Retail Analytics

I recently went with my friends to Shoppers Stopbased on value, premium and bridge-to-luxury
store at Inorbit Mall, Mumbai. I am a regular consumershoppers (BTL).
of their products. I was pleasantly surprised to find thatIn future retailers must use analytics tools to expand
the footwear section had been moved to the groundtheir network. It is better to do primary research to
floor. Initially it was on the first floor. Now it was rightunderstand market potential value of catchment areas.
next to the Indian wear section. Previously after buyingSuch kind of analysis will definitely help retailers to
the ethnic wear I had to move to the first floor to buychoose the apt place to open the store. They can
footwear. When I enquired about the change, the salesdecide if they want to open more than one store in
person out there said that it was the result of anthe same place. Consumption analysis, expenditure
adjacency analysis conducted by Shopper's Stop.analysis, category wise analysis, market potential
They conducted an analysis for more than twentyanalysis can be made by the retailer before a larger
four months and finally from the customer data theyexpansion of their store.
found that consumers who buy ethnic wear tended toFuture Group has been able to push their sales by
buy footwear as well. Based on this insight theymonitoring the demand rates at their stores. They
changed the footwear section to the ground floor andagree that analytics play an important role in their store
soon found a 25% growth in sales.planning.  It is a fact that usage of analytics is still at its
Most retailers have started implementing analyticsinfancy. In India, analytics is still limited to studying
inside their stores. The stores actually keep aconsumers and transactions. The banking sector
database of the actual buying behavior of thethough has matured more in using analytics. They have
consumer. Analytics include study of consumerstarted using predictive modeling too. Indian retailers
behavior, analyzing the transactional data andshould understand the importance of analytics and
predictive modeling. Initially the retailers track their primethey should invest in it.
consumers, their lifestyle, locations, social and economicLandmark from Tata group has set up an internal
background. From the transactional data the retailersteam for analytics which is trying to understand the
plans to move from one area to another to maximizeissues like cannibalization. Cannibalization refers to
their sales. The toughest and the critical one is thereduction in sales volume, sales revenue or market
predictive modeling. Retailers can get an idea of howshare of product. There are several reasons for
consumers upgrade their purchase behavior. As thecannibalization. When a retailer opens a new outlet
lifestyle changes the consumers interests alsonear another outlet, the new outlet may get some of
changes. Retailers can decide where to setup theirthe consumers from the old one. Such teams can also
future stores depending upon the future lifestyle ofidentify best locations depending on the address of its
consumers in a catchment area. It is very important toregular consumers; can make a list of consumers who
place the right product at the right time in the rightmay have dropped out due to changes in their buying
store.habits. Retailers can also make a study on their under
Before starting a retail outlet, the company shouldperforming stores, make necessary changes
make a study on the buying patterns of theimmediately so that they do not loose their sales. Even
consumers in that area. In South Kolkata Shoppersthough the use of analytics can makes changes in the
Stop made a study and found that consumers wereretailers business, it will take some time for the
shopping more frequently for accessories than apparel.business to grow to its maximum. Finally, the ultimate
They managed to dedicate a much larger space todecision maker is the consumer. It is the responsibility
the beauty section at their new store. Retailers canof the retailer to make the consumer leave their shop
also divide their database into different segmentswith a smiling face.