PRODUCT HUNT Let Me Hunt You a Product

Ecommerce has become an ever-growing business. Businesses like Amazon, Alibaba, eBay, etc., have become the epitome of e-commerce. Amazon alone has worth more than $1734.82 billion. Unsurprisingly, many big and small eCommerce businesses are being set up on top of Amazon. But t

Project Title

PRODUCT HUNT Let Me Hunt You a Product

Project Area of Specialization

Artificial Intelligence

Project Summary

Ecommerce has become an ever-growing business. Businesses like Amazon, Alibaba, eBay, etc., have become the epitome of e-commerce. Amazon alone has worth more than $1734.82 billion. Unsurprisingly, many big and small eCommerce businesses are being set up on top of Amazon.

But the problem is that there are billions of products on Amazon and a business cannot pry on a random product and invest blindly in that product hoping to generate sales on Amazon. It would rather need to target and hunt for the best and potential product that can eventually generate considerable revenues for its business. When done manually, product hunting is difficult and takes a lot of time to find winning products on Amazon or eBay that can generate good revenues.

They hire Virtual Assistants (VAs) for hunting potential products for their businesses. The VAs use multiple product hunting tools such as Helium 10, Jungle Scout, Viral Launch, AMZ Scout, Unicorn Smasher, or Keepa as well as some manual research to hunt the right product from gazillions of
products on marketplaces like Amazon.

The facet of managing multiple tools is itself challenging since these tools are quite costly and confusing in terms of terminology differences, vague or non-descriptive tags, and irrelevant or counterfeiting features.

We aim to increase the hunting accuracy and provide numerous features on one platform across an easier and better interface. In addition, we intend to enrich hunting predictions by using better machine learning models alongside the NLP model trained on top of product reviews on Amazon. We aim to develop a tool with a better interface having common and brief terminology with less confusing sub tools and affordable prices considering the local or global audience individually. We will provide tools for private label and wholesale product hunting on one platform. None of the available tools provide future predictions for product sales or costs etc.
 

Project Objectives

1. Development of Database
2. Development of Amazon Web Scrapper
3. Development of Machine Learning models for predictions of price, sales etc.
4. Development of website and integration of ML models using Django.
5. Development of full-fledge platform for product hunting

Project Implementation Method

Required Data Modelling and Gathering

1. Gathering of information from Amazon
2. Identification and Implementation of tools for scrapping
3. Creating database skeleton for our use
4. Finalizing Insights to be generated

Base/Core Model Development

1. Machine Learning model selection and development
2. Testing of model
3. Necessary upgradations
4. Accuracy testing
5. Finalizing the model

Front-end Development

1. Website designing on Adobe XD
2. Front end development
3. Model deployment

Backend Development & Initial Testing

1. Backend development
2. Testing of website
3. Scrutinizing and implementing necessary changes

Benefits of the Project

Benefits for users:

1. Platform for product hunting on Amazon
2. One platform for targetting multiple e-commerce marketplaces
3. Supports both private-label and wholesale product research

Benefits for us:

1. Since we are trying to develop a real time platform there will be subscriptions plans accordingly that will help in revenue generation for the anticipated company.
2. Real time product development experience in Machine Learning, Django, Databases etc.

Technical Details of Final Deliverable

It is a website platform for product hunting. Virtual Assistants and online sellers can use this just like Helium 10 or Jungle Scout

Users login with their subscription account.

They provide some basic criteria like product price, product category, product reviews and count, product weight, product size etc.

This gives insights in form of listing of best products. As well as charts and graphical insights of past performance and anticipated performance of that product.

User can use these insights to find out which product will be most useful for their online store. That is the potential products that they can easily sell online and be able to generate revenues.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Others

Core Technology

Artificial Intelligence(AI)

Other Technologies

Big Data

Sustainable Development Goals

Decent Work and Economic Growth, Partnerships to achieve the Goal

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com