# Abstract

Consumer spending is the growth engine for our global economy especially after Covid-19 and imminent recession ahead. Boosting personal spending will help merchants grow their businesses, which, as a result, pushes the world economy at the macro level.

Blockchain technology has been a strong magnet in the last couple of years and continues to be in the future. Due to tremendous potential, blockchain awareness has been increasing rapidly recently. However, compared to its popularity, the number of people who own some tokens is still only a fraction. 94% of adults on earth are aware of tokens, but only 3.9% of them are actually owners. After more than ten years from the birth of Bitcoin, the breakthrough of blockchain technology is still within the circle of tech savvies. There are two key barriers preventing laymen onboarding: complexity and trust. The motivation to own tokens for any reason is observable but not big enough to break these barriers. There is a need for a platform that can motivate everyone to onboard Web3 in an easy and safe manner.

*ShopNEXT is a **Web3 Loyalty Platform** utilizing card payment, NFT and gamification with the Shop-To-Earn model. With many years of expertise in the affiliate business, we believe rewarding people in tokens through their daily shopping activities is the best way to motivate them onboard while also helps the partners to grow the business.*

> *<mark style="color:purple;">**Our vision and mission are to provide the easiest & safest gateway for everyone to start their Web3 journey.**</mark>*

{% hint style="info" %}
*Note: ShopNEXT is currently under Public Beta Phase, so contents in the Whitepaper could be changed in the future.*
{% endhint %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.shopnext.io/whitepaper/abstract.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
