Jobs Opportunities Pakistan Launched D-Force; Now Become a Daraz Business Partner for Free

(Last Updated On: 06/11/2015)

The giant online retailer in Pakistan, has taken another initiative. Daraz is offering the willing sellers to become its business partner. The willing sellers have to perform one duty and that is to sell the products of to their friends, family members, neighbors or relatives and for this they will get the share in profit for every sale. This initiative was first launched by Daraz of Bangladesh by the title of “Become a Daraz Sales Consultant.”

Requirements to Become Member:

According to, no prior work experience or investment is required. A person want to become the partner of has to fill an online form and has to start selling Daraz products to earn money. Form is available here: D-Force

Advantages of Becoming Daraz Business Partner

Earn money as much as you can:

  • A commission based job that is based on earn as much as you can
  • Share in profit of every sale
  • Commission from the sale of sales consultant you recruit or introduced (probably)

You are your own boos

  • You are not required to work under anyone
  • Orders and instructions will be directly by the Daraz only
  • Work as an independent sales consultant
  • Complete freedom and control your own activities and performances

Chances of getting training and improving skills

  • By meeting with new people and making new friends, you will learn new skills
  • After some time, Daraz would provide Certificate of Participation
  • Chances of attending social events by Daraz
  • Access to daily promotions

According to Shahrukh Chaudhary, the manager of this new project, “The aim behind D-Force is to improve the level of trust in eCommerce and to reach out in communities where online advertising will not be able to. By making people active advocates of products on Daraz the company’s offline reach could increase dramatically.”

D-Force Form is available here Capture

About the author

Jennifer Mccarthy

Jennifer is Associate Professor (Ph.D) at Air University.
Research Interests: Informatics; analysis of large-scale biological data sets (genomics, gene expression, proteolytic, networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bio-informatics.


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