Crunchy Salad: Innovative Food Delivery App Development Project

This project focuses on developing a food delivery app for Crunchy Salad, addressing customer experience and business profitability. The assignment analyzes the current challenges faced by Crunchy Salad, such as long wait times and the need for eco-friendly packaging, and proposes solutions like a pre-ordering system and a recommendation-based system. The project emphasizes the importance of customer service training and online presence through website design and social media engagement. The app development includes features like real-time menu display, dietary restriction-based recommendations, and optimized search functionalities. The project provides recommendations for improving operations and business services, including customer service training and online presence. The recommendations include staff training on technology, practical training, and the creation of an online presence. The goal is to enhance customer satisfaction and increase sales through an innovative and user-friendly food delivery application. This assignment is contributed to Desklib, a platform that provides AI-based study tools and resources for students.

Running head: APP DEVELOPMENT
App Development
(Crunchy Salad)
Name of the student:
Name of the university:
Author Note

1APP DEVELOPMENT
Answer to question number 1:
The Crunchy Salad has seen to be receiving a report indicating customers to take up to
twenty minutes from the walking through door, receiving and ordering the meal. Further, they have
also got feedback and using containers that are been eco-friendly. There are also various options for
their various customers to deliver their individual containers that are received well by the customers.
Moreover, the company has been experiencing notable queues of their customers as the peak time
are going on for every day. In order to enhance their profitability, they have been looking forward
for some aspects. This have includes the pre-ordering of meals with app that the customer could
choose and design the burrito or salad and choose the specific day and time for picking that up. As
the pre-ordering gets finished, the customers are able to pay the meal through the payment gateway
(Suhartanto et al., 2019). Next, there is the encouragement of re-ordering and meals that are ordered
over Internet to gain reward points for using on store purchases as the threshold number of the point
is seen to be accumulated. The customers who are purchasing meal in store and bringing their
individual containers can gain 10% discount off the particular meal. Moreover, the product
purchasing options are there for the app. Here, the customers are able to purchase drinks and
consider taking the home salad dress ups over the Internet, and pay and pick the purchases as they
collect the meal (Yusra & Agus, 2018).
Some of the effective recommendations for the present app are demonstrated hereafter. There
are lots of food varieties that could be delivered for Crunchy Salad at the doorsteps with the latest
idea of food delivery app. However, most of the customers are seen to get stuck to choose the
prolonged list of the guilty pleasures for eating. This is useful to get very many options of different
restaurants and cruises offered that has to be offered by the food delivery app (Chen, Hu & Wang,
2019). Further, coming up with the concept of the app Crunchy Salad needs to take a step forwards

2APP DEVELOPMENT
for helping hungry people to make the choices within flip of seconds while giving order to the food
online. Having this, the current study intends to demonstrate a totally fresh and latest food delivery
app for Crunchy Salad to make a smart leap in the food industry having total business analysis and
planning. Moreover, the idea of the business lies on integrating the recommendation based system on
that application making that simple for the app users to go for the best-suited food for ordering much
swiftly. This is important for startups to explore the way the latest concept of food delivery can help
to enter the competitive market and make Crunchy Salad individualize from residual leading players.
This being the emotional element the food is chosen and then ordered from menu since the
customers like that and others recommends to eat (Liu et al., 2017). Primarily, this common
tendency of human beings to opt for the food that is highly recommended from the menu offered.
Thus it is easy-peas for customers as the best kind of dish is tired, highlighted and rated from various
guests on that app. Considering that the idea of the food app that is recommendation based lures
users for making purchasing. This concentrates to be a type of digital order receiver for whom guests
asks about cuisine along with providing various largely suggested food that are related to the cuisine
preferred. The concept of new food delivery is to make the recommendation system as the
marketing tool for the owner of the apps (Tonjang & Thawesaengskulthai, 2019).
The first recommendation includes the real time dynamic that involves the showtime of that
menu. It is known that as per various time zones and moods of customers, the demands can change.
There are few that prefer to have the fruit juice and various eggs during the morning. Further, there
are others who opt for the grand size of breakfast. In the same manner there are some people craving
for different light tummy fillers for lunch and gave the continental spreading of the executive lunch
during noon. The change of food cravings occur with the changes in the time zones (Kim, Rha &
Yoon, 2017). Again, the app would be suggesting food menu on the basis of various kind of time
zones. Apart from that the recommendation based food delivery app for Crunchy Salad suggests the

3APP DEVELOPMENT
food menus on the basis of various type of time zones. Having the show time features, the admin
could fix the time for displaying particular menu on the dashboard of the user. For example, here the
admin is able to fix the time between six o’ clock to ten o’ clock in the morning for recommending
breakfast meals that are high rates (Correa et al., 2019). Again from eleven o’ clock in the morning
to two ‘clock in the night the choice of lunch can spread or the tummy fillers that are tasty are
suggested to users on dashboard. For the owner of the applicant, high possibility is there to raise the
order and sales value with the feature of show time as they touch the proper needs of customers at
proper time. Secondly, there are suggestions on the basis of dietary restrictions. The feature is able to
control the user’s diets automatically and provide the scope for the personalized food meals
according to budge, preference and securely of users. Here, the user can get list of recommendation
of diet food that matches up perfectly with the relevant details of diet adding on the application
(Yeo, Goh & Rezaei, 2017).
Thus they are able to choose the kind of diet whether that is diet for any type of taste of
customers. In this way they are also able to plan the meal in the basis of overall calories for all the
meal. For instance, there are 1200 calories for four meals in one day for any vegan. Having the latest
idea of food delivery app, the deployment of AI technologies are helpful to deliver the options of
restaurants for the food meals that are user-specific (Lee, Lee & Jeon, 2017). Here, the various
scopes provide the app user with the feeling of the effortless kind of self-designing of the diet mean
faster. Thirdly, there should be spending of more hours of eating and some hours to search. The
recommendation-based new app food food delivery focusses on investigating the criteria of behavior
of consumers on the search. This includes the finding of the reason to perform the searching and
providing various personalized result of searches for all the users over that app. The optimization of
the searches were based on various factors such as kind of details that are communicated for the
searches, kind of details that are communicate for that search, time considered for processing a

4APP DEVELOPMENT
search, quantity of the needed to finish that search and search available filters for the users of the
app. Evaluating the backwaters for the features of search, the distinct concept of business delivers
the custom solution for all the user on that applicant. For this, firstly there are the diversities. Next,
there are the novelties. The food delivery for app of Crunchy Salad comprise of the total prior order-
history of users for providing type of distinct personalization for performing that search. Further,
there are discount tables that is not that users mainly make the cuisine-based searches and location
based and other kinds of effective searchers (Cho, Bonn & Li, 2019).
Answer to question number 2:
The recommendations to develop the operation offerings and business services are
demonstrated hereafter. Firstly, the customer service training can be considered. Firstly, a restaurant
employee training plan is to be generated. For this the objectives of the training are to be included
and the whole process is to be outlined. As all the assessment is done a training manual must be
created. This must make the employee to return back anytime and get the insights to the process. The
restaurants operations and instructions are to be properly clarified (Jaramillo, Shih & Cheng, 2019).
Here, the primary restaurant facts like busy times, restaurant menu, cuisine types, kitchen checklists,
ideal customers and average guests are to be added. Regarding technology, most of customers has
been relying on the mobile apps of food ordering. For assuring good returns one require to staffs
regarding latest technologies (Kim, 2019). As far as demonstration is considered, as a trainer one can
perform activities for the staffs. For this, Crunchy Salad must ask the experienced staff in
demonstrating skills and making the new staff to observe. Then, the benefits are to be asked. For
this, one should be transparent with employee and they are to be asked how they can get benefits
from the latest technology of Crunchy Salad. Thus one can accept that with the pen arms as they see
that to simply the tasks (Liu et al., 2018). Thus they can expect the app to deliver them with call-in-

5APP DEVELOPMENT
orders, quicker turnovers, satisfied customers and many more. Further, there are the practical
training. For this Crunchy Salad must collect their staffs and they are to be let to use the ordering
system such that they are able to known how that functions. Lastly, multiple training programs are to
be conducted (See-Kwong et al., 2017). For this, more than one training program. Here, various
stations must be included such that they required to prepare everything or handling those orders.
Secondly, Crunchy Salad must put their business online and must remember that customers
should be booking the tables for dining in the restaurants. Thus one can simply perform tat as the
services and features of returns are present over the Internet. Hence, memorable site design must be
created and then put than over the website. Here, Crunchy Salad must make certain that their site has
been user-friendly in nature. This specific factor indicates that there must be every information that
are required for the restaurants (Hwang, Lee & Kim, 2019). Here, for instance the booking facility,
contact information, menu and ordering facility and additional details must be on present over the
web pages. Here, effective usage of social media is also useful. The potential clients are present n
sites like Twitter and Facebook (Ishak, Romli & Rahman, 2018). Hence, helpful social media page
must be linked with the website recommended for the business.

6APP DEVELOPMENT
References:
Chen, M., Hu, M., & Wang, J. (2019). Food Delivery Service and Restaurant: Friend or Foe?.
Available at SSRN 3469971.
Cho, M., Bonn, M. A., & Li, J. J. (2019). Differences in perceptions about food delivery apps
between single-person and multi-person households. International Journal of Hospitality
Management, 77, 108-116.
Correa, J. C., Garzón, W., Brooker, P., Sakarkar, G., Carranza, S. A., Yunado, L., & Rincón, A.
(2019). Evaluation of collaborative consumption of food delivery services through web
mining techniques. Journal of Retailing and Consumer Services, 46, 45-50.
Hwang, J., Lee, J. S., & Kim, H. (2019). Perceived innovativeness of drone food delivery services
and its impacts on attitude and behavioral intentions: The moderating role of gender and age.
International Journal of Hospitality Management, 81, 94-103.
Ishak, F. D., Romli, F. I., & Rahman, K. A. (2018). Public Survey on New In-Flight Food Delivery
and Waste Collection System. Journal of Mechanical Engineering SI, 5(4), 142-152.
Jaramillo, F. P., Shih, K. H., & Cheng, C. C. (2019). Can Drones Deliver Food? What the Food
Delivery Industry Needs to Know. International Journal of Performance Measurement, 9(2).
Kim, H. S. (2019). A Study on the Subjectivity of University Students' Recognition of Food
Delivery Service. The Journal of the Korea Contents Association, 19(11), 92-101.
Kim, S., Rha, J. Y., & Yoon, J. (2017). Registered Patents related to Food Delivery Service based on
ICT: A Consumer Perspective. The Korean Journal of Food And Nutrition, 30(6), 1199-
1209.

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Lee, E. Y., Lee, S. B., & Jeon, Y. J. J. (2017). Factors influencing the behavioral intention to use
food delivery apps. Social Behavior and Personality: an international journal, 45(9), 1461-
1473.
Liu, Y., Guo, B., Chen, C., Du, H., Yu, Z., Zhang, D., & Ma, H. (2018). Foodnet: Toward an
optimized food delivery network based on spatial crowdsourcing. IEEE Transactions on
Mobile Computing, 18(6), 1288-1301.
Liu, Y., Guo, B., Du, H., Yu, Z., Zhang, D., & Chen, C. (2017, October). Poster: FooDNet:
Optimized on demand take-out food delivery using spatial crowdsourcing. In Proceedings of
the 23rd Annual International Conference on Mobile Computing and Networking (pp. 564-
566).
See-Kwong, G., Soo-Ryue, N., Shiun-Yi, W., & Lily, C. (2017). Outsourcing to online food delivery
services: Perspective of F&B business owners. The Journal of Internet Banking and
Commerce, 22(2), 1-18.
Suhartanto, D., Helmi Ali, M., Tan, K. H., Sjahroeddin, F., & Kusdibyo, L. (2019). Loyalty toward
online food delivery service: the role of e-service quality and food quality. Journal of
foodservice business research, 22(1), 81-97.
Tonjang, S., & Thawesaengskulthai, N. (2019, May). Patient Food Delivery Error in the Hospital: A
Case Study in Thailand. In Proceedings of the 2019 International Conference on
Management Science and Industrial Engineering (pp. 151-156).
Yeo, V. C. S., Goh, S. K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral
intention toward online food delivery (OFD) services. Journal of Retailing and Consumer
Services, 35, 150-162.

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Yusra, Y., & Agus, A. (2018). Online Food Delivery Service Quality: Does Personal Innovativeness
Matter?. Asia Proceedings of Social Sciences, 2(3), 251-255.