The document describes SwiftSense, a sales forecasting system for franchise companies that uses AI. It aims to replace outdated pen and paper systems by creating an integrated central database with modules for store management, sales forecasting using AI algorithms trained on historical data, and key performance tracking. The system's goals are to increase efficiency, performance and revenue for franchise companies. It will target the local franchise market in Pakistan and utilize technologies like React, Node.js, and MongoDB for its development.

1. SWIFTSENSE
SALE AMELIORATION SYSTEM VIA FORECASTING

2. SWIFTSENSE
• Supervisor :
• Mr. Hammad Mehmood
• Co-Supervisor :
• Dr. Ghulam Abbas
• Group member :
• Affan Javaid
• Abdullah Khan
• Waleed Khan

3. BRIEF OVERVIEW
• SwiftSense - It is a Sale Forecasting system.
• Swift = quick , Sense = observation
• It means how our system will quickly predict the sales of a franchise company by observing its previous
and current data.
• Ease sales operations/forecasting in franchise companies

4. SWIFTSENSE
Flaws in Franchise Companies System
• They are using an obsolete system in their sales department.
• They rely more on data-storage and excel-sheets.
• Lack of communication between departments and offices.
• Less performance

5. PROBLEMS IN EXISTING SYSTEM
• Local stores still use Pen/Paper System.
• Individual systems for every department.
• Delay in communication/approval.
• Example : Comparison between Walmart/Zara and Bata .

6. PROPOSED SYSTEM - SWIFTSENSE
• Develop an Integrated System – overcome delay in communication/approval.
• Central Database
• Use AI in Sales Forecasting . To increase the performance , efficiency and revenue of a company.
• Apply Supply chain concepts- Just In Time (JIT) , Point of Sale , Available to Promise (ATP) etc .

7. FUNCTIONAL & NON-FUNCTIONAL REQUIREMENTS
Functional Req Non functional Req
Central DB Storage Safety
Store Management Security
Sales Forecasting Software Quality
Point of Sale / Just in Time
Performance measurement
Super Admin

8. SYSTEM UNIQUENESS
• It will be the first system in the history of Pakistan in which will provide all these major services in a
single system . This makes our system unique
• It will be an integrated system . All major departments like Marketing , Admin , Manufacturer etc will be
integrated.
• It will provide Sales forecasting using AI
• It will implemented on major supply chain concepts

9. GOAL
• There are 3 main goals of our system
• To replace existing system used by franchises
• To increase the performance and efficiency of the franchise company with latest technologies and concepts
• To maximize their revenue/profit.

10. SCOPE
• We will target the local market / Franchises.
• According to report published by Karachi Chamber of Commerce and Industry,
• There are more than 160 Franchise companies in Pakistan.
• 4-5 Franchise companies are registered every year
• According to report published by Forbes (w.r.t Falcon Fatemi).
• There is 7-13% increase in revenue of a franchise by integrating AI in their Sales Forecasting
• If our system can even increase 3-5% of the Franchise’s revenue. It would be profitable for
both company and us

11. AI – SALES FORECASTING
• Why we need AI in sales forecasting?
• Forecasting is essential to how businesses run.
• It enables a company to set a budget, make headcount decisions, fund marketing and product
investments.
• It is an important part of supply chain.
• With AI , Sales Forecasting prediction efficiency increases & it is less prone to errors etc.

12. AI – SALES FORECASTING
• How our AI in sales forecasting will work?
• Choose a particular AI algorithm (yet to be finalized) - which fulfills our requirements/needs.
• Train our AI on different Data Sets using that selected algorithm.
• Implement Trained AI on our system.
• Predict the next month sales.
• Compare it with the verified result
• Unit testing – catch & minimize errors as much as possible

13. AI – SALES FORECASTING
• For Training of our AI . We will gather data(different data sets) from
• Kaggle
• Data.world

14. PROPOSED TECHNOLOGIES – DEVELOP SYSTEM
• System (SwiftSense) will be a website.
• Frontend : React JS
• Backend : Node JS
• Database: Mongo DB , Firebase
• AI : Node JS
• Deployment : Azure , Docker etc (not finalized yet)

15. UML DIAGRAMS - CLASS DIAGRAM

16. UML DIAGRAM – USE CASE

17. UML DIAGRAM – ACTIVITY DIAGRAM

18. ARCHITECTURAL DESIGN
• We will use MVVM (updated form of MVC) architectural design.
• Why MVVM:
• The View — UI layer that users interact with,
• The ViewController —has access to the ViewModel and handles user input,
• The ViewModel — has access to the Model and handles business logic,
• The Model — application data source

19. MVVM
• Views :
• Views are UI which are in form of React component. Every view has its different react
component
• Models :
• We will use cloud Mongo DB as database. All of our data will store in database. Every user has
access to different data
• View-Model :
• View Model controls the view from models. We will use NodeJs to control this.
• Admin can check the total sales of each store.
• Manager will calculate the daily sales and send it to admin

21. PHYSICAL VIEW

22. UI - DESIGN

23. WORK BREAKDOWN STRUCTURE

24. SWIFTSENSE
Thank You