Upon reading the case study, I realized that I needed to understand the tool's objective and the problem or opportunity it addresses. To gain a deeper understanding, I watched videos about this module on Amazon Seller. I also made some assumptions to fill in the gaps in data or to simplify the task.
The first thing that comes to mind is that I have many questions. I will list them here:
<aside> 💡 Assumption: Currently, we will consider making it for task purposes
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<aside> 💡 Assumption: Currently, we will only consider incentives provided by the seller.
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<aside> 💡 Assumption: Not at the moment.
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<aside> 💡 Assumption: Not at the moment.
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<aside> 💡 Assumption:
Discount
Points collection
Cashback is to be used on future purchases from the same seller, either redeemed via points or a successful order
A voucher is given after a successful purchase, which can be used on the next order </aside>
Which of the above types should we start working on?
<aside> 💡 Assumption: Discount and the types are Percentage off, Money off, and Buy One Get One (BOGO)
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<aside> 💡 Assumption: Not at the moment.
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<aside> 💡 Assumption:
The criteria and fields might vary based on the selected type but some fields are essential for all types
Note: I found a feature for the claim code (secret, public, and none) on Amazon seller platform that is applied in the promotion creation cycle which is very interesting
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