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M<br />
FOUNDATION<br />
Food for thought<br />
Grocery retail can help generate invaluable customer data to<br />
further catalyze growth and generate advertisement income:<br />
Grocery shoppers tend to visit the portal multiple times in a<br />
month. The use of sophisticated data analytics will help the<br />
companies learn about household preferences, which in turn can<br />
help curate personalised baskets/offers. It is also likely that<br />
retailers that drive increased customer visits on their portal for<br />
grocery will eventually be able to cross-sell other higher-margin<br />
products like apparel, footwear, accessories, etc. With rising use<br />
of mobile apps, the ability to drive traffic and engagement is a<br />
powerful tool to drive advertisement revenues and predict<br />
volume offtake, thus helping the company improve consumer<br />
retention and drive additional income. Of interest, Amazon<br />
(covered by Brian Nowak) generates 3% of its retail revenues<br />
from advertising services, which is currently 64% of reported<br />
retail EBITDA in C2017. In the case of Ocado (covered by Andrea<br />
Ferraz), 'supplier income' contributes 3.5% to retail revenues and<br />
forms 58% of C2017 retail EBITDA.<br />
Exhibit 26:<br />
Amazon's ad revenues are 3% of retail revenues<br />
and 64% of retail EBITDA<br />
Amazon's advertisement revenues as<br />
a % of Amazon's retail<br />
revenue and EBIDTA (2017)<br />
3%<br />
64%<br />
% of Retail revenues % of Retail EBITDA<br />
Source: Company Data, Morgan Stanley Research<br />
Exhibit 27:<br />
Ocado's supplier income is 4% of retail<br />
revenues and 58% of retail EBITDA<br />
Ocado supplier income as<br />
a % of Ocado's retail<br />
revenue and EBIDTA (2017)<br />
Grocery is a must-win category and it's not all about price;<br />
service is equally important: It may be difficult for a consumer<br />
to compare the price of each product across retailers. Hence the<br />
key differentiators will be availability, accuracy, and timely<br />
delivery ( Exhibit 28 and Exhibit 29 ).<br />
Can 3D body scanning transform economic models of online<br />
apparel retailers? Morgan Stanley's European General Retail<br />
analyst, Geoff Ruddell, believes that the rapid improvement in 3D<br />
scanning technology and its implementation could have farreaching<br />
implications for the business models of store-based<br />
retailers and online retailers alike (see report here). Currently,<br />
apps (such as Nettelo and 3D) allow consumers to use their<br />
mobile devices to create 3D images of themselves. In fact, per a<br />
media report (Bloomberg, Nov 14th 2017), Apple is considering<br />
adding 3D laser technologies to the 2019 iPhone, which would<br />
allow developers to create more precise 3D scanning apps.<br />
In Europe, apparel accounts for almost 40% of all non-food retail<br />
spending. Similarly, at 30% of the non-grocery market, apparel is<br />
a key category for retailers even in India. AlphaWise surveys have<br />
consistently shown that the biggest barriers to consumers<br />
shopping more for apparel online are concerns about product fit<br />
and returns. 3D scanning potentially allows consumers to<br />
establish their measurements very precisely and could help<br />
reduce return rates for online retailers, allowing them leeway to<br />
lower prices further. This could shift the balance between online<br />
and offline shopping for apparel decisively.<br />
4%<br />
58%<br />
% of Retail revenues % of Retail EBITDA<br />
Source: Company Data, Morgan Stanley Research<br />
Exhibit 28:<br />
Big Basket has two delivery offerings<br />
Delivery<br />
Type Regular Delivery Express Delivery<br />
Product range 20,000 SKU's curated list of 1500+ daily essentials<br />
Time Prefixed slots 60 minutes<br />
Charges<br />
Basket size Rs1,001 No charge No charge<br />
Source: Company Data<br />
Exhibit 29:<br />
BigBasket offers an express 60-minute delivery<br />
offering for specific SKUs<br />
Source: Company Data<br />
26