Presented by:D010 : VIJAY CHANDRASEKAR D011 : RUCHI CHOWDHARY D026 : NEHA KANDPAL D027 : ANANT KAPOOR D035 : ARJUN KV D051 : JASKARAN SINGH

Problem Statement

Should Shopper’s Stop stop investing in brick and mortar expansion and build a stronger online customer base?

Objectives

1.Analyse customer behavior trend shopping in stores as opposed to shopping online

2.Understand the added incentives expected when shopping online as opposed to from brick and mortar

3.Determine the influence of pay-per-click advertisements placed on social media sites like facebook in online purchase

Benefits•The 1st RO will help us understand the browsing to conversion rate for online shoppers as opposed to customer conversion on-ground and the reasons why.•The 2nd RO will help determine whether an online portal will cannibalize brick and mortar sales.•The 3rd RO will help evaluate the extent of investment which would be required in a focused online sale approach.

DesignSample Size – 500Research shall be in form of a questionnaire.Research shall be done in two parts:•Online survey – (60%)- 300 – Intended to get just quantitative data•On-ground survey – (40%)- 200 – Intended to get quantitative as well as qualitative data, which includes conversation with customers visiting the stores. Qualitative data here is just recording any other comments made by the respondent while answering the survey

AnalysisData analysis would be done in three parts:1. First Level Analysis – The first level analysis would just be a

mapping of the different demographic and socio-economic classification components with questions addressing various ROs, with the purpose of identifying different usage and behavioral patterns amongst people across the target group. E.g. How many females shop at least 2-3 times a week online?

2. Second Level Analysis – In the second level analysis, we would further map the mappings done in the first level with questions addressing other ROs in an aim to gain insight into trends that range in majority across the sample. E.g. How many females shopping at least 2-3 times a week online do it because of discounts?

3. Third Level Analysis – This will be only done if the second level analysis gives insights that can still be better served by mapping them with questions serving the remaining RO. E.g. How many females shopping at least 2-3 times a week online because of discounts pay by card?

This analysis can be done either on Excel or SPSS. Further, Predictive Analysis tools can be used to forecast the success of such a venture as opposed to on-ground expansion.

Results•The research objective will help in analyzing whether an online portal serves as a separate point of sale channel or is just an extension of the physical stores.1. This will further help determine if the sale focus

online should of a different kind as opposed to the physical stores, in case they serve as separate point of sale.

2. Or if given as an extension, help in coming up with specially designed possible try and buy schemes to make buying online more lucrative, but keep the customer visiting the physical store.

Time

1)Data Collection:1.Online - 1 week2.On-ground – 10 days

2)Data Analysis – 1 month3)Presentation Preparation – 1 week

Total time(in days) – 54 days

Cost

1. Investment for online survey on Survey Monkey – Rs. 1590

2. Manpower for on-ground survey – 2 people, Rs. 10000 per head

3. Data Analysis team – Rs. 30,000

Total – Rs. 51,590

Thank You