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WWRR Vol.2.015

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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

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