SlideShare a Scribd company logo
1995:
COMMERCIALIZATION
OF THE INTERNET
2000:
DOT.COM
BUBBLE BURST
2012:
E-COMMERCE
TOPS $1 TRILLION
BUT

E-GROCERY
BUSINESSES
NEVER

TOOK OFF…
“IT’S WHEN THE SCARED RATS
START RUNNING AWAY FROM THE
SINKING MARKET THAT THE TRUE
ENTREPRENEURS COME IN.

A TRUE VISIONARY.”
FEASIBILITY ANALYSIS
OF AN

E-GROCERY MODEL
IN

DUBAI
GAURAV – RAHUL - TEAM
OBJECTIVES:
 E-grocery

 problems with current e-grocery models
 4-step model
 SWOT

 Feasibility analysis
 Learning from the experts
 Conclusion
E-GROCERY
Online grocery shopping has continued to rapidly
evolve in recent years, facilitated by ongoing
development of internet and mobile
communications.

Grocery shopping has been described as the next
star performer of online retailing.
TYPICAL ONLINE E-GROCERY MODEL

E-grocer
website

People place
order on the
website .

Order is
received
by the egrocer

Order gets
dispatched
from a single
hub area to
different
places.

The order is
received
typically 3-4
hours after
placing the
order.

Customer
dissatisfaction
due to long
waiting time.
PROBLEMS
WITH CURRENT
E-GROCERY MODELS
E-GROCERS

VS
CONSUMERS
• HIGH OPERATING
COST
• HIGH INVENTORY
MANAGEMENT AND
HOLDING COST

• LONG DELIVERY
TIME
• DELIVERY CHARGE
APPLICABLE
• NO PRICE
ADVANTAGE
TRANSFORMING

ADVERSITIES
INTO

OPPORTUNITY
THE 4-STEP MODEL
HOW IT WORKS…
WIN-WIN-WIN
E-grocers
• Low
investment
• Low operating
cost
• Quick
response time

Grocery
stores
• Boost sales
• More profit

Consumers
• Fast delivery
• Competitive
pricing
• No delivery
charge
ASSUMPTIONS
- Successful tie-up with grocer stores &
supermarket
- Smooth flow of real time network for distribution
of the order
- Uniform pricing structure
- Sharing of commission for order generated
- Deliver within agreed time
Strengths

opportunity

4-step model

Threats

Weakness
STRENGTH

WEAKNESS

- Fast delivery time

- Reliance on grocery stores

- Quick response time

- Product range

- Meeting customers'
demand

- Maintaining the software
network

- Low operating cost

- Easily replicate

- Low investment

- High market penetration
OPPORTUNITY

THREATS

- E-grocery gaining
popularity

- Competitions from big
supermarkets

- High disposable income

- Lack of common fixed
price

- High internet penetration
- Cultural diversity
FEASIBILITY
ANALYSIS
FUNNEL APPROACH
Target Market
Target customers
Profit
generation
model

$$$
DUBAI
DUBAI
130
residential
areas
(2,063,908)
15 potential
sectors
(397,767)
Target
customers
(303,814)

2%
conversion
(6,076)

No. of local
grocery stores
= 55
No. of
Supermarkets
= 18
1.27 km²

Al Quoz Third

16,861.4/km²
Al Bada

0.82 km²

28600.32

22946/km²

Al Baraha

1.104 km²

11890.96

7,086/km²

Al Buteen

0.07 km²

3593.28

0.125 km²

16561.92

21,451/km²

Al Garhoud

4 km²

6788.32

1,116.5/km²

0.20 km²

10354.24

34,060/km²

4.41 km²

33935.52

5,062 /km²

Al Rigga

0.89 km²

8639.68

6,386/km²

4.5 km²

9562.32

1,398/km²

4.5 km²

9562.32

1,398/km²

7.6 km²

5072.24

439/km²

7.6 km²

5072.24

439/km²

2.87 km²

45823.44

10504/km²

Small
grocery
stores

Supermarkets

22958.08

3

1

4

13 km²

138122.4

6,990/km²

Muhaisanah
Third

13 km²

138122.4

6,990/km²

13 km²

138122.4

6,990/km²

3895.76

6.16/km²

8.4 km²

3895.76

6.16/km²

Nadd Al Shiba
Second

8.4 km²

3895.76

6.16/km²

Nadd Al Shiba
Third

60 km²

1033.6

Small
grocery
stores

Supermarket
s

11.3/km²

Al Hamriya,
Dubai

0.72 km²

Al Hamriya
Port

0.89 km²

Al Hudaiba

0.84 km²

11702.48

9,165/km²

Al Shindagha

0.26 km²

24.32

70/km²

Al Jaddaf

7.3 km²

4544.8

409.5/km²

Al Twar First

6.8 km²

28054.64

2,714/km²

Al Jafiliya

1.63 km²

17660.88

7,128/km²

Al Twar Second

6.8km²

28054.64

2,714/km²

Nad Shamma

1.36 km²

1836.16

888.34/km²

Al Karama

1.509 km2 69424.48

30,267/km2

Al Twar Third

6.8 km²

28054.64

2,714/km²

Naif

0.561 km²

43427.92

50,928/km²

4

1

Al Khabisi

1.255 km²

10240.24

5,368/km²

Al Warqa'a Fifth

21.6 km²

760

0.23/km²

27502.88

16,155/km²

4

1

0.8 km²

53.2

44/km²

Al Muteena
First

1.12 km²

Al Kifaf

Al Warqa'a First

21.6 km²

760

0.23/km²

Al Mamzar

3.35 km²

3435.2

674.6 /km²

21.6 km²

760

0.23/km²

27502.88

16,155/km²

4

1

2.1 km²

3263.44

1,022/km²

Al Muteena
Second

1.12 km²

Al Manara

Al Warqa'a
Fourth

Al Mina

3.10 km²

6358.16

1,350/km²

Al Nasr, Dubai

1.5 km²

3752.88

1646/km²

Al Mizhar First

11.2 km²

6575.52

386.25/km²

Al Warqa'a
Second

21.6 km²

760

0.23/km²

Port Saeed

1.84 km²

680.96

243.4/km²

Al Mizhar
Second

11.2 km²

6575.52

386.25/km²

Rigga Al Buteen

0.684 km²

2118.88

2,038/km²

Trade Centre 1

0.90 km²

6624.16

4,842/km²

4

1

Al Muraqqabat

0.78 km²

49240.4

41,532/km²

Trade Centre 2

1.91 km²

5096.56

1,755.5/km²

4

1

Al Murar

0.41 km²

30143.12

48,368/km²

Al Wasl

4.76km²

33672.56

4,654/km²

Umm Al Sheif

1.87 km²

9519.76

3,350/km²

Al Sabkha

0.13 km²

3993.04

20,207/km²

Al Waheda

1.41 km²

14981.12

6,990/km²

6730.56

1926/km2

1.12 km²

27502.88

16,155/km²

Ayal Nasir

0.17 km²

19877.04

76,923/km²

Umm Hurair
First

2.3 km2

Al Muteena
Al Nahda First

3.18 km²

912

188.67/km²

Bu Kadra

1.7 km²

296.4

115/km²

6730.56

1926/km2

3.18 km²

912

188.67/km²

Hor Al Anz

4.18 km²

61319.84

9,651/km²

Umm Hurair
Second

2.3 km2

Al Nahda
Second

Hor Al Anz East

4.18 km²

61319.84

9,651/km²

Umm Ramool

3.61 km²

7036.08

1,282/km²

Umm Suqeim
First

7.2 km²

25017.68

2,286/km²

4

2

126.16

20,890/km²

Population
density(/km2)

Nadd Al Shiba
Fourth

1

Population(2012
)

Nad Al Hammar 8.4 km²

2

Area(km2
)

Muhaisnah
First

4

Area Name

Muhaisanah
Fourth

33,771/km²

Al Dhagaya

617/km²

Al Safouh First

32549.28

25412.88

Al Safa Second

Supermarkets

27.1 km²

Al Rashidiya

Small
grocery
stores

Population
density(/km2)

Al Satwa

Abu Hail

Population
density(/km2)

Population(2012)

Al Safouh
Second

Population(2012
)

Area(km2)

Al Safa First

Area(km2
)

Area Name

Al Ras

Area Name

93.25/km²

3

1

Al Warqa'a Third 21.6 km²

Al Quoz First

27.1 km²

25412.88

617/km²

Al Quoz
Industrial First

27.1 km²

25412.88

617/km²

3

760

4

1

0.23/km²

1
4

1

27.1 km²

Al Quoz
Industrial
Second

27.1 km²

Al Quoz Second 27.1 km²

25412.88

617/km²

617/km²

672/km²

Jebel Ali 2

47.1 km²

48083.68

672/km²

Jebel Ali
Industrial

47.1 km²

48083.68

672/km²

Umm Suqeim
Second

7.2 km²

25017.68

2,286/km²

4

2

25017.68

2,286/km²

4

2

40278.48

3,840/km2

Umm Suqeim
Third

7.2 km²

6.9 km2

Jumeira Second

6.9 km2

40278.48

3,840/km2

Warsan First

17.1 km²

2159.92

83/km²

6.9 km2

40278.48

3,840/km2

Warsan Second

17.1 km²

2159.92

83/km²

Al Mankhool

25412.88

617/km²

48083.68

Jumeira Third

25412.88

47.1 km²

Jumeira First

Al Quoz
Industrial
Fourth

Jebel Ali 1

1 km2

24339.76

16,013/km2

Za'abeel First

10 km²

8030.16

528.3/km²

Mirdif

9.2 km²

12334.8

882/km²

55

18

2,063,908
DUBAI
130
residential
areas
(2,063,908)
15 potential
sectors
(397,767)
Target
customers
(303,814)

2%
conversion
(6,076)

No. of local
grocery stores
= 55
No. of
Supermarkets
= 18
ILLUSTRATIONS
PROFIT GENERATION MODEL
Total Serving population

379,767

80% targeted customers

303,814

2% customer conversion rate

6,076

Monthly average expense on food and other

$190.58

items

Monthly revenue (6,076*190.58)

$1,157,964.08

Profit of shops (10% of revenue)

$115,796.41

e-grocer’s revenue (3% of revenue)

$34,738.92

Expected expense

$7,000.00

e-grocer’s profit (revenue - expense)

$27,738.92

*monthly average expense on food and other items information is from Dubai Statistical Centre
REVENUES – EXPENSES
=

$$$
REVENUES
• Commissions from the grocery stores and
supermarkets.
• Sale of virtual shelf space & web advertisements
of products
• Production of n-house branded products in the
long term.
• Revenue realization from big data management
EXPENSES
• One time investment of setting up a website and
developing the network with all the stores and
supermarkets.
• Maintaining the website/software network and
distribution network.
• Advertising and marketing of the websites on a
regular basis.
UNDERSTANDING
THE

CONSUMERS
THE GROCERY
SHOPPING EXPERIENCE
How do you find your grocery shopping
experience?
Hate it

Neutral

Enjoy it

10%
25%

65%
DELIVERING BENEFITS
Major benefits of
shopping online
Time-saving

More products variety

Convenience

0

5

10

15

20

25

30

35

40

45
IDENTIFYING THE RIGHT PRODUCTS
30

Grocery products intrested to buy online
25

20

15

10

5

0

All of the above

Bul grocery items

Daily need items

personal hygine
products

Speciality items
LEARNING
FROM
THE

EXPERTS
Technology

Grocery

100%
success

Consumers

Business
Consultant
LISTENING
TO THE

GENIUS
MR. SANIT JAIN
CEO OF DIGITIZE PORTFOLIO

A website designing and maintenance firm
TECHNOLOGY ASPECTS

Domain
name and
online
space
$6,000
USD
Yearly
maintenan
ce cost
$2,000
USD

Web
designing
$4,000
USD

Initial
website cost
$23,000
USD

Staffs for
managing
$6,000
USD

Mobile
app
$4,000
USD

Mobile
messagin
g system
$1,000
USD
ACCORDING
TO THE

GROCERY’S
EXPERT
FAST DELIVERY
IS
THE
BIGGEST

CHALLENGE
OF E-GROCERY
CHOITHRAM & SONS LLC.’S
EXPERTS

Giant retail with

37 supermarkets across UAE
Suresh S. Raja, Deputy Group Procurement Manager
FUTURE OUTLOOK
“Positive about growth potential of e-grocery in Dubai”

Choitram entering e-grocery market by year end.
RIGHT TRAIN ON
THE WRONG TRACK

NO!
Quality is our priority!
Quality of products vary from store to store.
This model compromise our brand value.
THE

MORADIAN
WAY
BOMAN MORADIAN
FREELANCE CONSULTANT
Experts in:
 Productivity
 Mathematical Programming
 Marketing
“CUSTOMER IS MY

CEO

,WHO PAYS MY SALARY.”

Quality is not negotiable!
SHORT TERM SUCCESS
BUT
UNSUSTAINABLE
IN THE LONG RUN
• Backward integration is they key to success
• Transforming into a…

HYBRID MODEL
UNDERSTANDING THE CONSUMER’S MIND
DIFFERENT PEOPLE DIFFERENT PERCEPTIONS
“Long delivery time disappoints me”
“I’m young. I embraced this
idea!”
CONCLUSION
DONE BUT NOT FINISH

GOOD BUT NOT GREAT

COMPLETE BUT NOT PERFECT
There is always room for improvement!
TIME IS TOO PRECIOUS TO
BE WASTED ON

SLEEPING…
TIME IS TOO PRECIOUS TO
BE WASTED ON

SLEEPING…

GROCERY SHOPPING
THANK
YOU
Q&A

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E-grocery model

  • 5. “IT’S WHEN THE SCARED RATS START RUNNING AWAY FROM THE SINKING MARKET THAT THE TRUE ENTREPRENEURS COME IN. A TRUE VISIONARY.”
  • 6. FEASIBILITY ANALYSIS OF AN E-GROCERY MODEL IN DUBAI GAURAV – RAHUL - TEAM
  • 7. OBJECTIVES:  E-grocery  problems with current e-grocery models  4-step model  SWOT  Feasibility analysis  Learning from the experts  Conclusion
  • 8. E-GROCERY Online grocery shopping has continued to rapidly evolve in recent years, facilitated by ongoing development of internet and mobile communications. Grocery shopping has been described as the next star performer of online retailing.
  • 9. TYPICAL ONLINE E-GROCERY MODEL E-grocer website People place order on the website . Order is received by the egrocer Order gets dispatched from a single hub area to different places. The order is received typically 3-4 hours after placing the order. Customer dissatisfaction due to long waiting time.
  • 12. • HIGH OPERATING COST • HIGH INVENTORY MANAGEMENT AND HOLDING COST • LONG DELIVERY TIME • DELIVERY CHARGE APPLICABLE • NO PRICE ADVANTAGE
  • 15.
  • 17. WIN-WIN-WIN E-grocers • Low investment • Low operating cost • Quick response time Grocery stores • Boost sales • More profit Consumers • Fast delivery • Competitive pricing • No delivery charge
  • 18. ASSUMPTIONS - Successful tie-up with grocer stores & supermarket - Smooth flow of real time network for distribution of the order - Uniform pricing structure - Sharing of commission for order generated - Deliver within agreed time
  • 20. STRENGTH WEAKNESS - Fast delivery time - Reliance on grocery stores - Quick response time - Product range - Meeting customers' demand - Maintaining the software network - Low operating cost - Easily replicate - Low investment - High market penetration
  • 21. OPPORTUNITY THREATS - E-grocery gaining popularity - Competitions from big supermarkets - High disposable income - Lack of common fixed price - High internet penetration - Cultural diversity
  • 23. FUNNEL APPROACH Target Market Target customers Profit generation model $$$
  • 24. DUBAI
  • 26. 1.27 km² Al Quoz Third 16,861.4/km² Al Bada 0.82 km² 28600.32 22946/km² Al Baraha 1.104 km² 11890.96 7,086/km² Al Buteen 0.07 km² 3593.28 0.125 km² 16561.92 21,451/km² Al Garhoud 4 km² 6788.32 1,116.5/km² 0.20 km² 10354.24 34,060/km² 4.41 km² 33935.52 5,062 /km² Al Rigga 0.89 km² 8639.68 6,386/km² 4.5 km² 9562.32 1,398/km² 4.5 km² 9562.32 1,398/km² 7.6 km² 5072.24 439/km² 7.6 km² 5072.24 439/km² 2.87 km² 45823.44 10504/km² Small grocery stores Supermarkets 22958.08 3 1 4 13 km² 138122.4 6,990/km² Muhaisanah Third 13 km² 138122.4 6,990/km² 13 km² 138122.4 6,990/km² 3895.76 6.16/km² 8.4 km² 3895.76 6.16/km² Nadd Al Shiba Second 8.4 km² 3895.76 6.16/km² Nadd Al Shiba Third 60 km² 1033.6 Small grocery stores Supermarket s 11.3/km² Al Hamriya, Dubai 0.72 km² Al Hamriya Port 0.89 km² Al Hudaiba 0.84 km² 11702.48 9,165/km² Al Shindagha 0.26 km² 24.32 70/km² Al Jaddaf 7.3 km² 4544.8 409.5/km² Al Twar First 6.8 km² 28054.64 2,714/km² Al Jafiliya 1.63 km² 17660.88 7,128/km² Al Twar Second 6.8km² 28054.64 2,714/km² Nad Shamma 1.36 km² 1836.16 888.34/km² Al Karama 1.509 km2 69424.48 30,267/km2 Al Twar Third 6.8 km² 28054.64 2,714/km² Naif 0.561 km² 43427.92 50,928/km² 4 1 Al Khabisi 1.255 km² 10240.24 5,368/km² Al Warqa'a Fifth 21.6 km² 760 0.23/km² 27502.88 16,155/km² 4 1 0.8 km² 53.2 44/km² Al Muteena First 1.12 km² Al Kifaf Al Warqa'a First 21.6 km² 760 0.23/km² Al Mamzar 3.35 km² 3435.2 674.6 /km² 21.6 km² 760 0.23/km² 27502.88 16,155/km² 4 1 2.1 km² 3263.44 1,022/km² Al Muteena Second 1.12 km² Al Manara Al Warqa'a Fourth Al Mina 3.10 km² 6358.16 1,350/km² Al Nasr, Dubai 1.5 km² 3752.88 1646/km² Al Mizhar First 11.2 km² 6575.52 386.25/km² Al Warqa'a Second 21.6 km² 760 0.23/km² Port Saeed 1.84 km² 680.96 243.4/km² Al Mizhar Second 11.2 km² 6575.52 386.25/km² Rigga Al Buteen 0.684 km² 2118.88 2,038/km² Trade Centre 1 0.90 km² 6624.16 4,842/km² 4 1 Al Muraqqabat 0.78 km² 49240.4 41,532/km² Trade Centre 2 1.91 km² 5096.56 1,755.5/km² 4 1 Al Murar 0.41 km² 30143.12 48,368/km² Al Wasl 4.76km² 33672.56 4,654/km² Umm Al Sheif 1.87 km² 9519.76 3,350/km² Al Sabkha 0.13 km² 3993.04 20,207/km² Al Waheda 1.41 km² 14981.12 6,990/km² 6730.56 1926/km2 1.12 km² 27502.88 16,155/km² Ayal Nasir 0.17 km² 19877.04 76,923/km² Umm Hurair First 2.3 km2 Al Muteena Al Nahda First 3.18 km² 912 188.67/km² Bu Kadra 1.7 km² 296.4 115/km² 6730.56 1926/km2 3.18 km² 912 188.67/km² Hor Al Anz 4.18 km² 61319.84 9,651/km² Umm Hurair Second 2.3 km2 Al Nahda Second Hor Al Anz East 4.18 km² 61319.84 9,651/km² Umm Ramool 3.61 km² 7036.08 1,282/km² Umm Suqeim First 7.2 km² 25017.68 2,286/km² 4 2 126.16 20,890/km² Population density(/km2) Nadd Al Shiba Fourth 1 Population(2012 ) Nad Al Hammar 8.4 km² 2 Area(km2 ) Muhaisnah First 4 Area Name Muhaisanah Fourth 33,771/km² Al Dhagaya 617/km² Al Safouh First 32549.28 25412.88 Al Safa Second Supermarkets 27.1 km² Al Rashidiya Small grocery stores Population density(/km2) Al Satwa Abu Hail Population density(/km2) Population(2012) Al Safouh Second Population(2012 ) Area(km2) Al Safa First Area(km2 ) Area Name Al Ras Area Name 93.25/km² 3 1 Al Warqa'a Third 21.6 km² Al Quoz First 27.1 km² 25412.88 617/km² Al Quoz Industrial First 27.1 km² 25412.88 617/km² 3 760 4 1 0.23/km² 1 4 1 27.1 km² Al Quoz Industrial Second 27.1 km² Al Quoz Second 27.1 km² 25412.88 617/km² 617/km² 672/km² Jebel Ali 2 47.1 km² 48083.68 672/km² Jebel Ali Industrial 47.1 km² 48083.68 672/km² Umm Suqeim Second 7.2 km² 25017.68 2,286/km² 4 2 25017.68 2,286/km² 4 2 40278.48 3,840/km2 Umm Suqeim Third 7.2 km² 6.9 km2 Jumeira Second 6.9 km2 40278.48 3,840/km2 Warsan First 17.1 km² 2159.92 83/km² 6.9 km2 40278.48 3,840/km2 Warsan Second 17.1 km² 2159.92 83/km² Al Mankhool 25412.88 617/km² 48083.68 Jumeira Third 25412.88 47.1 km² Jumeira First Al Quoz Industrial Fourth Jebel Ali 1 1 km2 24339.76 16,013/km2 Za'abeel First 10 km² 8030.16 528.3/km² Mirdif 9.2 km² 12334.8 882/km² 55 18 2,063,908
  • 29. PROFIT GENERATION MODEL Total Serving population 379,767 80% targeted customers 303,814 2% customer conversion rate 6,076 Monthly average expense on food and other $190.58 items Monthly revenue (6,076*190.58) $1,157,964.08 Profit of shops (10% of revenue) $115,796.41 e-grocer’s revenue (3% of revenue) $34,738.92 Expected expense $7,000.00 e-grocer’s profit (revenue - expense) $27,738.92 *monthly average expense on food and other items information is from Dubai Statistical Centre
  • 31. REVENUES • Commissions from the grocery stores and supermarkets. • Sale of virtual shelf space & web advertisements of products • Production of n-house branded products in the long term. • Revenue realization from big data management
  • 32. EXPENSES • One time investment of setting up a website and developing the network with all the stores and supermarkets. • Maintaining the website/software network and distribution network. • Advertising and marketing of the websites on a regular basis.
  • 34. THE GROCERY SHOPPING EXPERIENCE How do you find your grocery shopping experience? Hate it Neutral Enjoy it 10% 25% 65%
  • 35.
  • 36. DELIVERING BENEFITS Major benefits of shopping online Time-saving More products variety Convenience 0 5 10 15 20 25 30 35 40 45
  • 37. IDENTIFYING THE RIGHT PRODUCTS 30 Grocery products intrested to buy online 25 20 15 10 5 0 All of the above Bul grocery items Daily need items personal hygine products Speciality items
  • 38.
  • 42. MR. SANIT JAIN CEO OF DIGITIZE PORTFOLIO A website designing and maintenance firm
  • 43. TECHNOLOGY ASPECTS Domain name and online space $6,000 USD Yearly maintenan ce cost $2,000 USD Web designing $4,000 USD Initial website cost $23,000 USD Staffs for managing $6,000 USD Mobile app $4,000 USD Mobile messagin g system $1,000 USD
  • 46. CHOITHRAM & SONS LLC.’S EXPERTS Giant retail with 37 supermarkets across UAE Suresh S. Raja, Deputy Group Procurement Manager
  • 47. FUTURE OUTLOOK “Positive about growth potential of e-grocery in Dubai” Choitram entering e-grocery market by year end.
  • 48. RIGHT TRAIN ON THE WRONG TRACK NO! Quality is our priority! Quality of products vary from store to store. This model compromise our brand value.
  • 50. BOMAN MORADIAN FREELANCE CONSULTANT Experts in:  Productivity  Mathematical Programming  Marketing
  • 51. “CUSTOMER IS MY CEO ,WHO PAYS MY SALARY.” Quality is not negotiable!
  • 52. SHORT TERM SUCCESS BUT UNSUSTAINABLE IN THE LONG RUN • Backward integration is they key to success • Transforming into a… HYBRID MODEL
  • 54. DIFFERENT PEOPLE DIFFERENT PERCEPTIONS “Long delivery time disappoints me” “I’m young. I embraced this idea!”
  • 55. CONCLUSION DONE BUT NOT FINISH GOOD BUT NOT GREAT COMPLETE BUT NOT PERFECT There is always room for improvement!
  • 56. TIME IS TOO PRECIOUS TO BE WASTED ON SLEEPING…
  • 57. TIME IS TOO PRECIOUS TO BE WASTED ON SLEEPING… GROCERY SHOPPING