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M<br />
FOUNDATION<br />
Orders generated on the eCommerce platform and fulfilled from a<br />
nearby store via the pick and pack model form a win-win arrangement<br />
– "advantage, brick and mortar" with higher sales throughput and<br />
arguably lower cannibalization of sales from existing in-store customers.<br />
The impact on in-store profitability could be even higher<br />
given the high fixed cost nature of the business. Our calculations suggest<br />
that a 15% increase in store throughput with, say, 8% of revenues<br />
(as commissions) shared with the eCommerce partner can drive a<br />
24% increase in profitability for the physical retailer.<br />
In the event that the model is able to generate 30% higher orders, the<br />
overall profitability could increase >40%.<br />
In addition, it is also "advantage, eCommerce companies" that can<br />
offer express delivery for a wider assortment with markedly lower<br />
price than the neighborhood store – a sustainable competitive<br />
advantage, in our view.<br />
another argument in favor of the potential for rapid disruption in consumer<br />
staples in India.<br />
The importance of data analysis in retail is rising: Big data is a<br />
game-changer and retailers are beginning to accept this.<br />
Data were always available for modern format retailers in the form<br />
of analysis of consumer trends based on loyalty cards. Yet the<br />
inherent shortcoming was that customers did not always carry them,<br />
and even if they did, it was difficult to have the right conversations<br />
with customers at the right time.<br />
Shopping apps with an integrated mobile wallet on a customer's<br />
mobile phone allow retailers to gather information which hitherto<br />
was not possible, including location, proximity to a store, browsing<br />
history, and real-time feedback on consumer offers. Such apps also<br />
enable improved inventory management and forecasting.<br />
….with greater focus on convenience vs. price: The hybrid retail<br />
model will move the battle away from “price” to “service.” The power<br />
of being able to influence brand purchases will be a tectonic shift as<br />
the balance of power goes from brand owners to channel owners –<br />
We present here an example to show the power of information for<br />
modern format retailing and how can that be best harnessed with an<br />
omni- channel retail strategy.<br />
Exhibit 32:<br />
Hybrid model offers potential for 20-40% increase in EBITDA for physical retailers<br />
Hybrid model Physical Retail + e-Commerce)<br />
Instore Delivery Delivery<br />
15% higher orders Total 30% higher orders Total<br />
Revenues (Rs) 1,500,000 225,000 1,725,000 450,000 1,950,000<br />
Orders per day 1,500 225 1,725 450 1,950<br />
x A.O.V (Rs) 1,000 1,000 1,000 1,000 1,000<br />
Gross profit (@ 16%) 240,000 36,000 276,000 72,000 312,000<br />
Total overheads 165,000 18,000 183,000 39,709 204,709<br />
as % of sales 11% 8% 9%<br />
- e-Commerce commisions (@8%) - 18,000 36,000<br />
- Others 165,000 - 3,709<br />
EBITDA 75,000 18,000 93,000 32,291 107,290<br />
Increase in EBITDA 24% 43%<br />
Potential for<br />
20-40%<br />
increase in<br />
profitability<br />
Commission paid to e-<br />
commerce partner for<br />
new order generation<br />
A store can fulfill 15% higher<br />
orders without incurring<br />
additional costs of Rs16 per<br />
order<br />
Source: Morgan Stanley Research Note: A.O.V - Average order value<br />
MORGAN STANLEY RESEARCH 29