2. Challenges:
- Not many uses or aware of the restaurant app.
- Usage of Technology for booking needs learning and marketing communication.
- Mobile Payments has not yet made a commonplace in mindset of Indian users.
Objectives:
To create digital experience around the purpose of the site/application
1. Food ordering & delivery service
2. Table booking
3. Monthly Meal delivery service
Objectives
3. Get users online.
Seamless experience for food ordering.
Trackable delivery supply chain.
Easy and Quick Table booking options.
Get user like the App’ Monthly meal service.
Create distinct position in the consumers mind that allows it to become ‘the
most preferred online option’.
Our Brief
5. Student/ Food loyalists
(Purchase) trigger :
I always look for new places to
hang out and good food to
eat.
Urban women and male
professionals
(Purchase) trigger :
Speed is crucial. I don’t like
waiting and don’t like fuss. Our
team parties are demanding
need special service.
House Manager
(Purchase) trigger :
Tired of all day house work,
its good to check something
new. Also need food service
at certain occasions.
1. Dine in
2. Home delivery
3. Pick up
Target Customer
6. Primary / Loyalist (Student / Food loyalists)
(Purchase) trigger :
“I always look for new places
to hang out and good food to
eat, Would want something
that gives me good compare
value and deals on eateries.
Even my friend needs a daily
tiffin service.”
Attitude shopping online :
- He can easily check the prices at a variety of stores with just a few mouse clicks.
- It's super-simple to send a gift to someone by simply ordering online.
- Ways to offer ratings and reviews of products he has purchased.
- It is simple to research products and to find product reviews.
Attitude to order from the app :
Via the web or mobile he can order his favorite authentic regional foods from back home.
Key Decision driven
1. Deals / reasonable on pocket
2. Environment
3. Good food
Variety of food options | Change of taste | Good/new hangout place
Most used services
1. Pick up
2. Dine In
3. Home delivery
7. Use case: Pick up service/Meal Service.
Description:
1. The Customer gets text/ app notification of the offer available on his phone. He check the
offer on his mobile app, while the app detects the customer types and suggest pick up
restaurant location around him.
2. The Customer book online and fix a time to pick up the food. He gets to see his food item
preparation in real time on the app so that he reach the restaurant place to pick up according
on his way. He can chose to pay online or on pickup. The customer is asked to give his reviews
and feedback after some time of the delivery.
3. The customer get the lunch tiffin offer information from his college university. He then order
food online for a pick up/ delivery service.
4. The application wishes the customer on his/her birthday and offer a special discount to
celebrate with there loved ones.
Use Case Scenarios
8. Attitude shopping online:
- There's no waiting in line. Quick and Fast delivery service always comes handy.
- You can go shopping when it's convenient for you -- even if the mall is closed --
and take as long as you like. There's no rush.
- Most of the transaction are done online, so he is comfortable shopping online.
- Can use coupon codes, easily getting percentage discounts and/or free shipping.
- It's simple to keep track of your spending and your purchases.
Attitude to order from the app :
Ordering food/ table online mean one tick done from his schedule.
Saves travel time from the tiring day.
Key Decision driven:
1. Environment
2. Good food
3. Booking service.
(Purchase) trigger :
“I always passes by this
restaurant while rushing to my
office, I want to try once there
or order something for my
team party. Good to know
some food review and taste
there once.”
Urban professionals (women and men)
Reviews matters | Can't buy groceries | Has no time to cook daily
Most used services
1. Dine in
2. Pick up
3. Home delivery
9. Use case: Dine in service
Description:
1. The Customer gets notification of the dine in corporate offer available over mail.
He check the offer online, while the app detects the customer types and suggest dine in options
around him and corporate discounts.
2. The Customer gets notification of the dine in corporate offer available over mail. He then has
a option to invite his/her colleagues over the application, where the same info/offer is shared
with other. The Customer can see in real time the if the other person has checked his invitation
and confirmed it.
3. The Customer gets notification of the dine in corporate offer available over mail. The app
gives him the option to book table online and also chose the order online.
4. The application wishes the customer on his/her birthday and offer a special discount to
celebrate with there loved ones.
Use Case Scenarios
10. Home manager
(Purchase) trigger :
“I saw a recipe in a magazine
that I would love to try! Might
want to see, how it taste, a
restaurant nearby can be an
ideal place to get around with
my family on Sunday evening”
Attitude shopping online :
- You don't need to go from store to store with tons of bags.
- No sore legs and aching feet from walking all over the place
- Save money on gas, public transit fares, tolls and parking.
- Ability to set up repeat orders and groceries delivered on a regular schedule.
Attitude to order from the app :
-Would order food if she doesn't want to cook and go out to eat.
-Its is very important to her that food is well presented and people enjoy the party.
Online ordering guaranteed tasty cuisine from her favourite restaurant and also lot
of variety. Mobile is way to go. Desktop is cumbersome.
-Quick & manageable service is plus point if more guest drops by in a party.
Key Decision driven :
1. Good food
2. Deals / reasonable on pocket
3. Environment
Saves my time | Healthy food options | Quick service
Most used services
1. Home delivery
2. Dine In
11. Use case: Home Delivery
Description:
1. The customer gets offer through marketing pamphlets. S/He check the offer online or on
mobile, the app allows the the user to book online and order food.
2. The application reminds the wish list item/restaurant of the customer and sends a text/ app
notification reminding that there is a offer available on the same. The Customer check the offer
and orders it or has a option to remind her later.
3. The application send notification for food happy hours offer. The customer sign check the
offer online to on mobile, the app allows the user to book online and order food.
4. The application wishes the customer on his/her birthday and offer a special discount to
celebrate with there loved ones.
Use Case Scenarios
12. - Younger customers in this segment are more contemporary in their attitude to shopping online. They
have expectations of a quick and convenient way of living.
- People look for pictures of the place / review are very important than the place and food.
Key Takeout
13. The menus bar for easy access
Categories :
1. Dashboard
2. Order
3. Restaurant
4. Settings
5. Reviews
Cards :
1. Booked table
2. Cancel table
3. New table booking
4. Table booking waiting list
5. Change password
6. Manage Navigation page
7. Theme setting
8. Food/place review
9. Waiter review
10. Manage location
11. Manage menu
12. Manage offer
13. Manage photos
17. Infromation Architecture
1. Dashboard
Sales overview
Recent Reports
Recent Data
Shortcut Buttons
New Table Booking
New Menu
2. Order
New Table
booking
Order List - CRM
Booked Table List
Table Booking
Waitlist
Cancelled Bookings
*Orders should also
be imported!
3. Restaurant
Manage offer
Manage menu
Manage location
Manage photos
Manage waiter
4. Settings
Theme setting
Customize-Navs
Change
password
5. Reviews
Food review
Place review
Waiter review
6. Costumer
Manage
customer
Manage Restaurants and Settings of the app is one time.
18. IA option - Menu
Menu
Create/Import New Menu – Wizard Based Menu
Menu list
Menu item
Create – Menu Item list
Create – Topping Item list
Category
Size
Options
Create – Manage options
19. Task Analysis – For recurring tasks
Menu
Menu Menu Item
Create
Category Size Options
Create
Create/Import
Orders
Order List Booked Table List
Waiting List
Cancelled List
New Table Booking