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Food Delivery
System
Submitted to
Prof. Dr. A.K.M. Masum
Abdullah Al Noman Mohammad Ali Nayeem Reduan Ahmad
presented By
ID: 232-35-003 ID: 232-35-022 ID: 232-35-016
Introduction
Food delivery service is similar to courier service in which the
ordered food is delivered from the restaurant to the customer
either by the restaurant's staff or by delivery agents of a food
ordering company. This obviously depends on the medium through
which a customer places their order.
Example: Food Panda, Pathao food, Hungry Naki etc are popular
food delivery services in our country .
We will learn in this presentation how Food Delivery Service
Works Online.......
Swift and reliable
delivery service ensuring
your favorite dishes
reach your doorstep in
record time.
Express Delivery:
Our services
Tailor your meals with
personalized options,
accommodating specific
dietary preferences and
culinary choices.
Customized Orders:
Stay informed with live
order tracking, allowing
users to monitor the
status and location of
their delivery in real time.
Real-Time Tracking:
Ensure safety and
convenience with secure
contactless payment
options, enhancing the
overall user experience.
Contactless
Payments:
SDLC MODEL
Why SDLC models?
1. Structured Development Process.
2. Clarity in Requirements.
3. Efficient Planning and Resource Allocation.
4. Risk Management.
5. Quality Assurance.
6. Customer Satisfaction.
7. Adaptability to Changes.
8. Transparent Communication.
9. Predictable Project Timelines.
10. Documentation and Knowledge Transfer.
11. Compliance and Legal Considerations.
12. Maintenance and Upgrades.
Agile Methodology
So After knowing the principals We are using
Agile Methodology for this Food Delivery
System,
So lets know the steps of using Agile
methodology in our System
1.Requirements gathering
2.Design the requirements
3.Construction/ iteration
4.Testing/ Quality assurance
5.Deployment
6.Feedback
Food Delivery Systems
REQIREMENTS THAT ARE ESSENTIAL
IN FOOD DELIVERY SYSTEMS
• User Interfaces (UIs): Both customer-facing
and restaurant-facing UIs are essential for
enabling seamless interaction with the system.
• Location Services: Location-based features are
crucial for identifying nearby restaurants and
tracking delivery status.
• Payment Gateways: Secure payment
processing is essential for completing
transactions.
• Real-time Order Management: Efficient order
tracking and routing are critical for timely
deliveries.
• Recommendation Engines: Personalized
recommendations can enhance customer
engagement and satisfaction.
System Architecture
In this diagram we can see the architecture of The food delivery systems. The
components are ,
⚬ User Interface
⚬ Order Management
⚬ Delivery Tracking
⚬ Payment Processing
Programming
Implementation
Frontend
In frontend development for a food delivery website, choosing
programming languages is crucial. HTML structures pages, CSS enhances
visual appeal, and JavaScript adds interactivity. Frameworks like
React.js, Angular, and Vue.js offer powerful tools for seamless user
experiences. Consideration of technologies is key, aligning with project
goals and ensuring long-term maintainability.
For the backend of a food delivery website, languages like Node.js,
Python, or Ruby can handle server-side operations. Databases like
MySQL or MongoDB store and retrieve data efficiently. Backend
technologies, separate from frontend concerns, must align with
project requirements. A strategic backend choice ensures robust
functionality and seamless integration.
For the backend of a food delivery website, a SQL database like MySQL ensures structured data
storage with strong integrity. Alternatively, a NoSQL database such as MongoDB offers flexibility
for handling diverse and unstructured data. The backend choice between SQL and NoSQL
depends on the application's specific requirements, balancing relational structure or schema
flexibility. A well-designed database enhances backend functionality and contributes to efficient
data management.
In the backend of a food delivery website, a REST API facilitates seamless communication between
the server and client applications. Utilizing standard HTTP methods like GET, POST, PUT, and
DELETE, it allows for resource manipulation. RESTful principles, such as statelessness and
resource representation, streamline data exchange. A well-implemented REST API enhances
scalability and interoperability in the backend architecture.
Backend
Database
Api
Machine Learning
Integration
Personalized
Recommendations:
Fraud
Detection and
Security:
Demand
Forecasting
and Inventory
Management:
Dynamic
Pricing
Strategies:
Integrating machine learning algorithms enables the food delivery app to analyze user
preferences and behavior, offering personalized recommendations. By understanding individual
tastes and ordering patterns, the app enhances the user experience, suggesting dishes that
align with each user's unique culinary preferences.
Machine learning aids in predicting customer demand based on historical
data and external factors. This allows food delivery platforms to optimize
inventory management, reducing waste and ensuring that popular items are
always available, improving overall operational efficiency.
ML algorithms can dynamically adjust pricing based on various factors like
demand, time of day, or special events. This not only maximizes revenue for
the platform but also provides users with potential cost savings during off-
peak hours or through targeted promotions.
Machine learning plays a crucial role in enhancing the security of
transactions and preventing fraudulent activities. By analyzing transaction
patterns and user behavior, the system can identify and flag potentially
fraudulent activities, ensuring the integrity and safety of the food delivery
app for both users and vendors.
Mobile App Development
for Food Delivery
Mobile App Platforms: iOS, Android
Cross-platform development using frameworks like
React Native or Flutter
Features: User Authentication
Menu Browsing
Order Placement
Real-time Tracking
Push Notifications
Testing
Unit Testing
Integration Testing
System Testing
Acceptance Testing
Security
Measures
We implement secure and encrypted
communication channels between customers,
delivery personnel and the platform to protect
sensitive information. We employ strict
authentication methods, such as two-factor
authentication, to verify the identity of users
involved in the distribution process. Regularly
perform system updates to address potential
Weakness and ensure overall cyber security of
the food delivery platform.
Meeting diverse and
high customer
expectations, including
fast delivery times, food
quality, and
personalized
experiences.
Customer Expectations
Challenges and Solutions in
Food Delivery Systems
Efficiently managing
delivery routes,
especially during peak
hours, to minimize
delivery times and
costs.
Logistics and Route
Optimization
Integrating new
technologies
seamlessly into existing
systems without
disrupting operations.
Technology
Integration
Ensuring a smooth
supply chain from
restaurants to delivery
hubs, and finally to the
customer, while
maintaining food quality.
Supply Chain
Management
Revenue Growth
Customer Satisfaction
User Engagement
Operational Efficiency
Employee Satisfaction and
Retention
Results and Success Metrics
Marketing
Strategy
01
Digital Marketing: Advertise on social media and
online to show off different foods, deals, and delivery
options to a big audience.
Loyalty Programs: Keep customers happy
with point rewards, special deals, and
discounts for coming back.
Partnerships: Work with local businesses and
events for more exposure, special offers, and
catering opportunities.
02
03
04 User-Generated Content: Gain trust with positive
customer reviews and encourage sharing on social
media.
Thank you

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Food Delivery System by SDLC MODEL | presentation |

  • 2. Abdullah Al Noman Mohammad Ali Nayeem Reduan Ahmad presented By ID: 232-35-003 ID: 232-35-022 ID: 232-35-016
  • 3. Introduction Food delivery service is similar to courier service in which the ordered food is delivered from the restaurant to the customer either by the restaurant's staff or by delivery agents of a food ordering company. This obviously depends on the medium through which a customer places their order. Example: Food Panda, Pathao food, Hungry Naki etc are popular food delivery services in our country . We will learn in this presentation how Food Delivery Service Works Online.......
  • 4. Swift and reliable delivery service ensuring your favorite dishes reach your doorstep in record time. Express Delivery: Our services Tailor your meals with personalized options, accommodating specific dietary preferences and culinary choices. Customized Orders: Stay informed with live order tracking, allowing users to monitor the status and location of their delivery in real time. Real-Time Tracking: Ensure safety and convenience with secure contactless payment options, enhancing the overall user experience. Contactless Payments:
  • 5. SDLC MODEL Why SDLC models? 1. Structured Development Process. 2. Clarity in Requirements. 3. Efficient Planning and Resource Allocation. 4. Risk Management. 5. Quality Assurance. 6. Customer Satisfaction. 7. Adaptability to Changes. 8. Transparent Communication. 9. Predictable Project Timelines. 10. Documentation and Knowledge Transfer. 11. Compliance and Legal Considerations. 12. Maintenance and Upgrades.
  • 6. Agile Methodology So After knowing the principals We are using Agile Methodology for this Food Delivery System, So lets know the steps of using Agile methodology in our System 1.Requirements gathering 2.Design the requirements 3.Construction/ iteration 4.Testing/ Quality assurance 5.Deployment 6.Feedback
  • 7. Food Delivery Systems REQIREMENTS THAT ARE ESSENTIAL IN FOOD DELIVERY SYSTEMS • User Interfaces (UIs): Both customer-facing and restaurant-facing UIs are essential for enabling seamless interaction with the system. • Location Services: Location-based features are crucial for identifying nearby restaurants and tracking delivery status. • Payment Gateways: Secure payment processing is essential for completing transactions. • Real-time Order Management: Efficient order tracking and routing are critical for timely deliveries. • Recommendation Engines: Personalized recommendations can enhance customer engagement and satisfaction.
  • 8. System Architecture In this diagram we can see the architecture of The food delivery systems. The components are , ⚬ User Interface ⚬ Order Management ⚬ Delivery Tracking ⚬ Payment Processing
  • 9. Programming Implementation Frontend In frontend development for a food delivery website, choosing programming languages is crucial. HTML structures pages, CSS enhances visual appeal, and JavaScript adds interactivity. Frameworks like React.js, Angular, and Vue.js offer powerful tools for seamless user experiences. Consideration of technologies is key, aligning with project goals and ensuring long-term maintainability. For the backend of a food delivery website, languages like Node.js, Python, or Ruby can handle server-side operations. Databases like MySQL or MongoDB store and retrieve data efficiently. Backend technologies, separate from frontend concerns, must align with project requirements. A strategic backend choice ensures robust functionality and seamless integration. For the backend of a food delivery website, a SQL database like MySQL ensures structured data storage with strong integrity. Alternatively, a NoSQL database such as MongoDB offers flexibility for handling diverse and unstructured data. The backend choice between SQL and NoSQL depends on the application's specific requirements, balancing relational structure or schema flexibility. A well-designed database enhances backend functionality and contributes to efficient data management. In the backend of a food delivery website, a REST API facilitates seamless communication between the server and client applications. Utilizing standard HTTP methods like GET, POST, PUT, and DELETE, it allows for resource manipulation. RESTful principles, such as statelessness and resource representation, streamline data exchange. A well-implemented REST API enhances scalability and interoperability in the backend architecture. Backend Database Api
  • 10. Machine Learning Integration Personalized Recommendations: Fraud Detection and Security: Demand Forecasting and Inventory Management: Dynamic Pricing Strategies: Integrating machine learning algorithms enables the food delivery app to analyze user preferences and behavior, offering personalized recommendations. By understanding individual tastes and ordering patterns, the app enhances the user experience, suggesting dishes that align with each user's unique culinary preferences. Machine learning aids in predicting customer demand based on historical data and external factors. This allows food delivery platforms to optimize inventory management, reducing waste and ensuring that popular items are always available, improving overall operational efficiency. ML algorithms can dynamically adjust pricing based on various factors like demand, time of day, or special events. This not only maximizes revenue for the platform but also provides users with potential cost savings during off- peak hours or through targeted promotions. Machine learning plays a crucial role in enhancing the security of transactions and preventing fraudulent activities. By analyzing transaction patterns and user behavior, the system can identify and flag potentially fraudulent activities, ensuring the integrity and safety of the food delivery app for both users and vendors.
  • 11. Mobile App Development for Food Delivery Mobile App Platforms: iOS, Android Cross-platform development using frameworks like React Native or Flutter Features: User Authentication Menu Browsing Order Placement Real-time Tracking Push Notifications
  • 13. Security Measures We implement secure and encrypted communication channels between customers, delivery personnel and the platform to protect sensitive information. We employ strict authentication methods, such as two-factor authentication, to verify the identity of users involved in the distribution process. Regularly perform system updates to address potential Weakness and ensure overall cyber security of the food delivery platform.
  • 14. Meeting diverse and high customer expectations, including fast delivery times, food quality, and personalized experiences. Customer Expectations Challenges and Solutions in Food Delivery Systems Efficiently managing delivery routes, especially during peak hours, to minimize delivery times and costs. Logistics and Route Optimization Integrating new technologies seamlessly into existing systems without disrupting operations. Technology Integration Ensuring a smooth supply chain from restaurants to delivery hubs, and finally to the customer, while maintaining food quality. Supply Chain Management
  • 15. Revenue Growth Customer Satisfaction User Engagement Operational Efficiency Employee Satisfaction and Retention Results and Success Metrics
  • 16. Marketing Strategy 01 Digital Marketing: Advertise on social media and online to show off different foods, deals, and delivery options to a big audience. Loyalty Programs: Keep customers happy with point rewards, special deals, and discounts for coming back. Partnerships: Work with local businesses and events for more exposure, special offers, and catering opportunities. 02 03 04 User-Generated Content: Gain trust with positive customer reviews and encourage sharing on social media.
  • 17.