Becoming the richest man starts with making complaints

When Cao Shen told Cheng Zhuoyi about making takeaways and establishing a "delivery" joint venture, Cheng Zhuoyi's eyes turned green.

Seeing the popularity of takeout, he had wanted to do it for a long time. Several core members within the company had been sharpening their skills for a long time.

Every time I see a delivery person from another restaurant passing by, my eyes become red and hot.

In this regard, they also conducted in-depth research for a long time.

But I have always been embarrassed to mention this to Mr. Cao. First of all, it was Mr. Cao who pointed out the way to do the cashier system and "Tongfubao" offline agent.

It is indeed because of following Mr. Cao’s instructions and relying on Mr. Cao’s core resources that the company has achieved today’s results.

Now that I see the craze for food delivery, I want to transform, but I feel like I am "deviating from my original intention."

Secondly, other companies are now competing for various payment entrances, and takeout is an important high-frequency payment usage scenario, but our own Mr. Cao is rock solid.

No matter how I tasted it, I felt like something was wrong with it.

So I thought that Mr. Cao, who is engaged in technology, is probably very uninterested in these "physical business".

Every time I think of this, the courage I mustered up to discuss it suddenly disappears.

We can't blame Cheng Zhuo and the others for being cowardly. The key is that the boss is Cao Shen.

Has Mr. Cao made any wrong decisions since he started his business?

No! Absolutely not!

Not only did it not happen, but the path he gave me every time was extremely correct.

Just like our own business, if Mr. Cao hadn't pointed out the direction, the company would have gone bankrupt long ago.

How can it be like now, not only has income and profit, but also has raised several rounds of financing, becoming a hot topic in the capital market.

Under Mr. Cao's undefeated "record", everyone is prone to self-doubt.

If Mr. Cao doesn't do something, there must be something wrong with it.

Therefore, Cheng Zhuo and the others also pondered over and over again what was wrong with the takeout business. Their research was very in-depth.

As a result, the problem was indeed discovered!

Under the influence of Cao Shen, Cheng Zhuo and others became technical masters.

When I was researching takeout, I was thinking about how to maximize the efficiency of "physical work".

After researching and researching, I feel that the key lies in the "best path" for food pickup and delivery.

In this case, it can be "empowered" through technical means!

The best path, write an algorithm to calculate it!

The idea is wonderful, but after researching for a long time, I found that it was the development of this intelligent system that stumped me.

In the final analysis, this system is an "intelligent dispatching system".

However, it contains a lot of modules. Only through improvements and technical research in prediction, mining, dynamic pricing, planning, scheduling, intelligent operations and hardware can we achieve real business implementation.

And this process also requires a balance between experience, efficiency and cost.

If Cao Shen knew that Cheng Zhuo and the others were engaged in this technical research, he would definitely tell them to "give up first."

Because artificial intelligence technology is the foundation of this "intelligent dispatching system".

At this time in 2012, it was obvious that artificial intelligence had not yet developed to this extent.

Moreover, artificial intelligence requires a large amount of data for training and optimization.

Cheng Zhuo and the others haven't started taking out food yet, so where does the data come from to "feed" the intelligent algorithm?

In the original world, at this stage, all takeaways were "silly deliveries".

Of course, by around 2018, this set of things was relatively available in the original world.

Many intelligent algorithms have been modularized and even open source.

To build this system, you must first have an algorithm platform that can perform large-scale real-time feature calculations and have machine learning capabilities.

Second, your scheduling system must be able to achieve multi-point and multi-person global optimization, which requires ultra-large-scale real-time computing.

Third, you also need to develop a regional planning system for dynamic distribution area division and merchant scope planning.

Fourth, there must also be an IOT Internet of Things system to grasp the status and location of the rider and the vehicle in real time through the wearable devices on the smart electric vehicle and the rider.

Fifth, the ETA estimated arrival time system must have accurate estimation and deep learning models in all aspects.

By accurately predicting the expected delivery time, merchant meal delivery time, and future order load in the business district, orders can be matched to the best path under optimal decision-making to ensure maximum efficiency in order receiving and optimal timeliness of meal pickup and meal preparation.

Sixth, LBS is based on a geographical location service system, including a five-level delivery address library, rider route optimization, etc.

Seventh, perception system, merchant geographical location fence and movement status recognition.

The so-called geofencing technology means that when you enter a specific area, your phone can automatically obtain relevant information about that area, and it will be gone once you leave.

This is one of the important supporting technologies for order dispatch optimization.

Cheng Zhuo and the others were also stubborn, and they were doing their own research when the world didn't have enough "technological foundation".

It's probably equivalent to the math questions that junior high school students take for postgraduate entrance exams.

All I can say is that I admire their research spirit emotionally.

The result, of course, was that it didn't work out. After all, the research time was not long.

They found that only a small amount of data was enough, but if there was too much data, it would be a disaster, and the complexity would increase exponentially.

In the end, I found that for this thing, you still have to develop several sets of "intelligent algorithms".

Moreover, it is not clear at all what type of algorithm can be used to achieve the best efficiency.

They had also studied "graph data" earlier, but later found that this was a huge project.

Moreover, this system is no longer suitable for testing. If you need to run real data, a large amount of data, the algorithm may fail.

It’s just a piece of smart shit, it’s not as fast as the delivery person’s own judgment based on experience.

In addition, a large amount of data also involves various real-time and high-concurrency processing issues, which cannot be solved, really cannot be solved.

Of course, this is too absolute to say. If you spend enough time and enough costs, you will be able to make it sooner or later.

But by that time, the day lilies were completely cold.

They seemed to have figured it out at that time:

Is the reason why Mr. Cao didn’t engage in takeout business just because “smart delivery” is too complicated?

If, like other companies, there is no intelligent order taking and delivery system, "silly delivery" will result in piles of people and manpower. They carefully made a model and found that it was too cruel to burn money like this.

In this situation, financing must always be available to survive, which is really a game of "bloody battle to the end" and "the one who remains is king."

The risk is too high! After all, the competition in the food delivery industry is so fierce now, and there are "giants" behind each company.

It turns out that Mr. Cao must have carefully calculated not to do this.

High, indeed high!

After thinking about it, I was very reluctant to not be able to do takeout.

Once upon a time, there was a market with great potential worth hundreds of billions in front of me, but I didn’t have the tools.

If you give me another chance, alas, there is nothing I can do.

We can’t conjure up a smart distribution system!