I took a bottom-up approach.
Considering an ordinary, urban household with 4 individuals
Number of Maggi needed per month = 10
Therefore, per head consumption = (10/4) = 2.5 Maggi per person
Population = 1.3 billion
Urban population: 70% of total population
Above poverty line population: 40% of total population
Therefore, net population to consider:
1300*0.7*0.4 = 364 million. Population distribution: (Age-wise)
0 – 10 (consume less than 2.5 packets per month, say 2 packets): 20% of the population {which equals to (364*0.2*2) million packets per month = 145.6 million packets per month}
10 – 60 (consume 3 packets per month): 65% of the population {which equals to (364*0.65*3) million kg per month = 709.8 million packets per month}
60+ (consume less than 2.5 packets per month, 2 packets): 15% {which equals to (364*0.15*2) million packets per month = 109.2 million packets per month} Total approximate consumption = (145.6 + 709.8+109.2) million packets/month = 964.6 million packets/month
Assuming a month of 30 days, per day consumption = (964.6/30) million packets per day = 32.15 million packets per day.
We can approach this problem in two ways: Demand side Supply side I am going to solve using demand of t-shirts in the market Total population of india : 1 bn (approx) Reach to internet : 40% =400 Mn Reach of ecommerce companies to deliver products : 3/4th = 300Mn Let's assume 50% are male and 50% are female Lets solve for male population first: Now i have divided males in the four categories on the basis of age because demand demand of t-shirts for different age groups will be different 0–15 yr = 45 Mn, on an average, individual own 4 t shirts -> 4*45=180 Mn 16–22 yr = 23 Mn, on an average individual own 4 t shirts -> 4*23 = 92 Mn 23–50 yr = 65 Mn, on an average individual own 3 t shirts -> 3*65 = 195 Mn 50 - 80 yr = 18 Mn, on an average individual have 2 t shirts -> 2*18 = 36 Mn Total t shirts own by men : 180 + 92+195+36 = 503 Mn ~ 500 Mn Let's solve for female population now: 0–15 yr = 45 Mn, on an average individual own 2 t shirts -> 2*45=90 Mn 16–22 yr = 23 Mn, on an average individual own 4 t shirts -> 4*23 = 92 Mn 23–30 yr = 15 Mn, on an average individual own 3 t shirts -> 3*15 = 45 Mn 30 - 80 yr = 67 Mn -> we can neglect this section. Only a few ladies prefer to use t-shirts in this age group. Total t-shirts own by females: 90+92+45 = 227 Mn ~ 230 Mn Total t-shirts own by men + women = 500+230=730 Mn Average life of a t-shirt = 2-year Demand per year = 365 Mn ~ 360 Mn Online portals provide coupons and offers but because of trust factor and fitting issues, people in India still prefer to buy offline, So I am assuming 30% of people buy a t-shirt from eCommerce portal and 70% are buying from market. Total number of t-shirts sold through eCommerce platform per year in India= .3*360 = 108 Mn ~ 100 Mn per year Number of t-shirts sold in India per day(From eCommerce portal) = 100 * 10^6/365 ~ 27,000
The population of India: 1200 mn Population above the poverty line: 70% 840 mn Population below 14 years: 30% Hence, proxy figure: 588 mn Rural Population (70%): 410 mn Rural Households: 82 Mn Rural Mobile Penetration: Avg 2 per household- 164 Mn In rural areas assume that a new mobile is bought once in 3 years. Hence, new mobiles bought In the current year- 55 Mn Urban (30%):176 Mn Assume Avg No of Mobiles per person: 1.5 Urban Mobile Penetration: 265 Mn Assuming that a new mobile is bought once in 1.5 years. Hence new mobiles in the current year- 176 Mn Total New Mobiles: 231 mn Assuming 3 out of 10 new mobiles are smartphones No. of smartphones sold=70 Mn
Observations: 35 million students enroll in India(Undergraduate, graduate, doctorate, diploma) 72% of 35 million graduate every year = 25 million Students completing 10th grade = 20 million Students completing 12th grade= 15 million Unemployed graduates of the previous year= 15 million (Since 60% of 25 million graduates are unemployed) GDP growth rate is 7% Calculations: 40% of 25 million graduates are only employed= 10 million Assuming 500,000 of the previous year’s graduates get a new job 100,000 starts working after 12th grade due to poverty, poor grades, etc An estimate of 50,000 starts working after 10th grade due to poverty, poor grades, etc 10,000 people already on workforce end up with a new job Total= 10 million + 500,000 + 100,000 + 50,000 + 10,000 = 10.66 million (approx) Note: Migrants working in India are negligible Due to urbanization, very few go for work without completing their 10th grade Increased feminism has a significant effect on the estimates OYO Rooms Case Study
- The main KPIs for any online room booking company could be:-
a. Online Rating
b. Occupancy %
c. Average daily rate
d. Revenue per available room
e. Customer Satisfaction
f. Advertising ROI
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