Real time promotion and marketing based on customer diversity
A web based application which is designed for retailng industry that will allow marketers to have a complete record of their customer diversity. It will enable them to promote retailing brands according to the cusotmers' age and gender present at that period of time in malls.
Project Title
Real time promotion and marketing based on customer diversity
Project Area of Specialization
Project Summary
A web based application which is designed for retailng industry that will allow marketers to have a complete record of their customer diversity. It will enable them to promote retailing brands according to the cusotmers' age and gender present at that period of time in malls.
Project Objectives
1) To design a stand-alone software for super stores to target their audience.
2) To classify gender and age group of customers on the basis of facial features.
3) To analyze and identify the peak periods.
4) To help retailers to get a clear profile of their customer and adapt signage to attract and engage more customers.
Project Implementation Method
We are using Sequential Fully Convolutional Neural Netowrk for classification of age and gender on the basis of facial features of customers' entering/leaving in malls/retailing stores. Training data in the form of human faces of 516785 is being used for classificaton of age and gender. Live feed for testing is being taken by camera for real time classification. Statistical segmented data will be shown to dashboard in the form of graphs.
Benefits of the Project
According to research* Pakistan has the most flourishing retailing industry. **The retail sector constitutes 33% of the overall service sector in Pakistan and contributes around 18% to its total GDP. The country’s retail industry is valued at USD 42 billion. To help our marketers to flourish further we have devised a solution which will help retailing
industry to boost their sellings by promoting different retaling brands based on customer diversity.
Links for research mentioned above
*http://dunyanews.tv/en/Business/407650-
**https://www.emergingpakistan.gov.pk/opportunities/punjab/retail/
Technical Details of Final Deliverable
A stand-alone web application that takes live feed from camera and analyze statistical information about gender and age group segmentation of customers and display final results on the dash board.
We are using Python(Keras, dlib and tensorflow) for classification and boot strap and Google visualization APIs for dashborad development. Our system will be connected to database of SQL Server using PHP.
Final Deliverable of the Project
Type of Industry
Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Movidius Neural Compute Stick | Equipment | 2 | 15000 | 30000 |
| Respberry pi zero V1.3 | Equipment | 2 | 2900 | 5800 |
| Respberry pi zero 1.3 camera | Equipment | 2 | 900 | 1800 |
| 3-D casing and packing | Miscellaneous | 1 | 1500 | 1500 |
| Cloud Storage and computation | Equipment | 1 | 7500 | 7500 |
| Contigency/Overhead | Miscellaneous | 1 | 3000 | 3000 |
| Subscription Charges | Miscellaneous | 1 | 3000 | 3000 |
| Operations+Market | Miscellaneous | 1 | 2000 | 2000 |
| Total in (Rs) | 54600 |
If you need this project, please contact me on contact@adikhanofficial.com
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