1. Copyright 2014-18 Retail Automata Analytics www.retailreco.com PRODUCT BEHAVIORAL ANALYTICS Importance of Products in Reviving E-commerce Business 1

2. TABLE OF CONTENT 1. Importance of Products in the retail landscape 2. Why Product Behavior is a must to analyze? 3. Important aspects of Product Behavioral Analytics 4. Advantages of Product and Predictive Analytics 2

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4. Retail Entities Retail is comprised of two important entities Customers and Products Products are the primary items whose selling as per their true potential can generate maximum revenue and increased profits. 4

5. Power of Products It is a false belief that it is only customer that drives product purchases; it is equally true that products also have the power to drive customers. 5

6. Products Personality Every product has the ability to draw attention and get purchased for the worth it holds. 6

7. Product Behavioral aspects Behavioral aspects give a particular personality to each product and by their analysis 7

8. Product Potential Complete insight of products as an individual entity and even in a product cluster helps retail business to focus on products which have the potential to sell a lot 8

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10. Copyright 2014-18 Retail Automata Analytics www.retailreco.com 10 To sell right products Product Behavioral Analytics tells the retailer which products have the maximum selling potential. To sell in Time Products are susceptible to time and they are meant to be sold quickly.

11. Copyright 2014-18 Retail Automata Analytics www.retailreco.com 11 Optimize Inventory Space & ROI Predictive Analytics helps in clearing out the already existing products by knowing customers who are interested in them. To Know Products Well Product Behavioral Analytics helps to know products well and also proposes interested and expected buyers for any product.

12. Copyright 2014-18 Retail Automata Analytics www.retailreco.com 12 To Know Product Demand Behavioral Product Analytics helps in forming clusters of similar products. Potential of selling for any product or cluster is also an output of this analytics. To know who wants to buy any product Predictive analytics of behavioral product clusters identifies customers those who are most likely to buy them.

13. Copyright 2014-18 Retail Automata Analytics www.retailreco.com Important aspects of Product Behavioral Analytics 13

14. Copyright 2014-18 Retail Automata Analytics www.retailreco.com Which products were looked at by which customer on-site 14 Onsite-Behaviour

15. Copyright 2014-18 Retail Automata Analytics www.retailreco.com What was the purchase history of every product 15 Purchase Behaviour

16. Copyright 2014-18 Retail Automata Analytics www.retailreco.com Which product was promoted in which email and the corresponding open, click and purchase ratios of the product 16 Email Behaviour

17. Copyright 2014-18 Retail Automata Analytics www.retailreco.com Each product has specific attributes of its own, which makes it belong to a particular cluster of products. These attributes may be characteristically or categorically similar. 17 Product Specific Attributes

18. Copyright 2014-18 Retail Automata Analytics www.retailreco.com Important to know which products have a high tendency to sell in upcoming season Accordingly 18 Seasonality

19. Copyright 2014-18 Retail Automata Analytics www.retailreco.com Different products have different tendency to sell with discounting. Some products sell only with deep discount, while premium products sell irrespective of discount. 19 Discount Sensitivity

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21. Copyright 2014-18 Retail Automata Analytics www.retailreco.com Analysis of these important aspects results into complete understanding of products. Predictive analytics outcomes for products also include Customer Affinity or ability of a product to tell you which customer wants it. 21

22. Copyright 2014-18 Retail Automata Analytics www.retailreco.com To summarize for a product, even a new product not yet sold even once, the analytical engine provides: 22 1. Revenue Potential of the product 2. Profitability of the product 3. Demand of existing customer base into the product

23. Copyright 2014-18 Retail Automata Analytics www.retailreco.com RetailReco’s Analytical tool tells which products will sell, how much and in what period. Predictive Analytics coins uncountable opportunities for each product; to sell to its interested customer base. This results into the increased sales flow and results in generating larger revenue and bigger profits. 23

24. Copyright 2014-18 Retail Automata Analytics www.retailreco.com Visit Us : https://retailreco.com 24