TRENDICA

Project Title

TRENDICA

Project Area of Specialization Artificial IntelligenceProject Summary

Trendica is trend and behaviour analysis platform using data science. Its a generic system for sales and customer datasets processing in order to create insights for business.

Trendica is divided into two parts
Sales part
Customer part
Each part contain further three phase:
Data pre-processing
Models implementation
Visualization

Starting with the sales part, this module will tackle all the datasets related to sales. The main aim is to provide the trends with respect to sales product and perform analysis. The visualization part contains the graphs that show market basket analysis. The user will get the information in such a way that if a person buys item A , then there is 80% chance that he/she will buy item B. Similarly all transactions will be covered for whole business and filters are also included with respect to branch and city.
Sales part also include forecasting of sales, which will provide an over view to the business owners about profit margins in the upcoming year.
Moreover, different branches comparison, product sales comparison, male and female ratio of buying particular product and their forecasting are some of the key features of Trendica sales part.
All these models will be visualized in form of graphs and humanized pdf report so a layman can easily understand the current and upcoming situation of his/her business.

Moving towards customer part, this module will cover aspects of churn prediction and customer segmentation. This will help the business owners in marketing the right audience highlighted by our system. The churn prediction model will help the business to hold its customers and highlight the audience which are going to leave the current firm.  Similarly customers of same type which has same characteristics will be in one group and vice versa. Due to this , businesses can tackle the right audience for their particular product or service. By knowing what their customers are looking for, they come up with right service to entertain them.

Trendica have 3 modules
Desktop application for data pre-processing
Website for visualization
App for visualization
All three modules will be connected  by fire base

Project Objectives

Our goal is to provide a Trend and behavior analysis platform using data science on which every stakeholder can trust and agreed upon the results. The purpose of creating this software is to analyze the hidden patterns of the past and current sales situation in-order to boost-up the sales in future. The product provides

Data preprocessing
Data Cleansing
Data Filtering
Customer Segmentation
Flexible Data Analysis (Decision Trees, Random Forest, Apriori, Arima, RNN, LR )
Pattern Analysis and Recommendations
Forecasting
Humanized output And Visualization
Data Preprocessing is used to convert the raw data into a clean data set. In other words, whenever the data is gathered from different sources it is collected in raw format which is not feasible for the analysis. After this data is cleaned by deleting the dirty or coarse data and then the data is filtered i.e. reducing the content of noise or errors from measured data set then the data is divided based into the groups of individuals that are similar in specific ways relevant to marketing, age, gender, interests and spending habits.
After these steps various algorithms are applied in order to carry on the analysis. So after the completion of this step we come up with different patterns or analysis then based on the results of all the analysis, the best result provided by the machine learning algorithms will be picked up and also recommended at the same time.

Project Implementation Method

Project is being done in several phases

• Initiation (requirements specification)
• Planning and design
• Execution (construction and coding)
• Control and integration
• Validation (testing and debugging)

We are doing this project by dividing it into several modules.

One module is picked at a time its model is trained, validated and results are stored in database.

According to results of perticular model visualization design is prepared and implemented.

Then whole module is tested, and approved  by supervisor  and we move to next. This is how we are doing it.

Once all modules are completed then whole system will be tested.

Benefits of the Project

Main benefit of trendica is that it provides insights of business and it helps you grow your business. 

trendica will provide you future prediction where your business is going in future and what can you do to boost business.

on which products you should invest and it will provide you information about your customers what can you do to increase customers or retain existing with the help of customer segmentation and churn prediction.

market basket analysis will help to identify the products have high probability of being sold in a basket and you will be able to apply certain promotions on particular products.

Technical Details of Final Deliverable

As trendica is cross platform application so final deliverables will have apk for android, ipa for ios and desktop application. website will also be deployed on server to make sure it is available to all users.

Users will be able to provide data through desktop or website and will be able to visualize results through website and mobile application.

Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Decent Work and Economic GrowthRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	78000
server	Equipment	1	70000	70000
hosting and domain	Miscellaneous	1	8000	8000