The package that can empower is a good package.

In the past few days, a discussion about using AI to help Pan Zong solve problems unfolded in the group. Mr. C's company plans to introduce AI into automated customer service and telemarketing. However, I believe that AI has not yet reached the stage where it can handle the diverse needs of humans.

From my experience and research, the current technological boundaries of AI have enabled it to do some genuinely useful things: empowerment.

Currently, all inclusive network functions are quite similar, mainly involving activities, finance, games, agency, domain management, and other basic functions, with very severe homogenization. However, there has been an exception in the past few years: a certain network platform has made its mark in the industry with a "Pinduoduo lucky wheel." Many Pan Zongs choose this platform because of its viral lucky wheel feature, which has taken the network's performance to a new level and also helped to reduce the cost of traffic for Pan Zongs.

This is the value brought by empowerment.

Looking at operations, over 80% of Pan Zongs in the industry do not understand operations, and team capabilities are uneven. Coupled with information asymmetry, most betting operations are in a low-lying area. However, some excellent companies manage to convert high purchasing costs into profits in the short term through refined operations, but these experiences are difficult to circulate and replicate.

I've also noticed that some networks offer "betting operation strategies" and "promotion tutorials" as value-added services to customers during promotions. However, this teaching-style approach is very outdated and hardly effective.

I believe that AI can empower every Pan Zong by automating the successful operational experiences of the industry. In short, using AI to replace human labor in refined operations.

How to do it?

Linking website functions and activities with AI as a premise, setting profit as the basic indicator, and setting several trigger points for user behavior, such as first login, second login, login without recharge, first recharge, first loss, withdrawal, closing the webpage, dormancy, etc. For example, when each behavior node is triggered, AI intervenes: for instance, when a user is about to withdraw, AI suggests that the explosion rate of a certain SLOT is increasing; after losing money, AI analyzes their historical behavior, provides reasonable rebates in real-time, and gives prompts; if a user is dormant, AI sends a text message to recall them.

This brings several benefits:

AI can respond with zero delay.

No need to wait for users to encounter problems, AI can monitor user behavior in real-time and provide guidance.

AI can cover 100% of users.

Human resources cannot cover everything, but AI can provide seamless service and convert every user.

AI can significantly reduce labor costs.

Operational work is repetitive, and scripts are similar. To achieve coverage, stacking personnel is often necessary. AI can replace this repetitive labor, achieving automatic promotions, precise targeting, and full coverage.

Achieving "individual exploitation" instead of "group exploitation."

Previously, profits depended on the normal distribution of users. Now, through AI, it is possible to finely exploit individuals, and even allow profits for some users, while still being profitable overall.

In the future, by utilizing the technological boundaries of AI to solve "empowerment" issues, good experiences can be transformed into system capabilities accessible to everyone. A good network platform is not about how many functions it has, but whether it can give every novice Pan Zong a chance to prosper, elevate industry profits, and achieve a new leap forward.