In the first few months of the year, DeepSeek can be said to be a veritable "top stream".

Nowadays, AI technology, represented by DeepSeek and Doubao, has penetrated into various industries, and the investment promotion field is no exception.

From industry chain analysis to element matching, from customer profiling to project evaluation, to negotiation and signing, AI plays an important role.

However, many investment promotion people will have a kind of confusion. AI is said to be very powerful, why do I still feel "artificial retardation" when I use it?

Ask a question, all the Baidu encyclopedia-style standard answer, the actual operation of the use of it. I'm not sure how to do that.

Don't panic! This article, teach you to use the skills, turn AI into a real investment assistant.

01What are the application scenarios

AI as an artificial intelligence tool, used in investment work, can help investment people to answer questions and solve problems, improve efficiency, as well as the accuracy of the project attraction.

AI can find ideal application scenarios in the three aspects of investment promotion: finding projects, negotiating and signing contracts.

First of all, in the early stage of investment promotion, investment promoters can use AI to find target enterprises, to crawl the list of potential customers and needs in the target industries and fields according to the previous industrial analysis. This link, in three steps.

➢ Industry Insight

AI analyzes massive enterprise data and policy dynamics to draw an "industry heat map" that clearly reveals which industries are on the rise and which regions have the advantage of industrial agglomeration.

➢➢ Enterprise Screening

For the target enterprises, AI can analyze the multi-dimensional enterprise portrait, around the industry potential, industry direction, market size and other 13 key dimensions, to determine the enterprise site selection power, accurate locking of those enterprises with investment demand match.

Input the enterprise demand, such as industry, area, cost, etc., and let the AI quickly generate the site selection program, including the plant carrier, the industry distribution of the resident enterprises, the industrial chain supporting and other key indicators.

➢ Project Evaluation

Using rapid data mining and logical analysis capabilities, with the help of AI in a short period of time to generate enterprise analysis report, from industry driven, potential risks, investment proposals and other dimensions, to carry out a holistic assessment, to determine whether the project is worth attracting.

This is like having an experienced investment advisor on hand to guide you.

Entering the negotiation session, the investment advisor can combine the customer's information, and with the help of the AI, refine and analyze key information.

For example, the company's background, expansion needs, and investment preferences.

By simulating the enterprise decision-making scenarios, intelligent recommendation of suitable products and services, to generate more targeted negotiation programs.

For example, for technology-intensive enterprises, we can output "core technology localization adaptation solutions"; for cost-sensitive enterprises, we can provide "supply chain cost comparison and optimization suggestions".

Finally, in the contracting process, AI audits and manages the contract, terms of cooperation, contracting process, and other elements.

For those cumbersome document proofreading, process management and other "minutiae", often consumes a lot of time and energy, AI's efficiency and accuracy will be much higher than manual.

02How to send instructions

Want to use AI, the first step is to learn to send instructions. 5W2h (Why, What, When, Who, Where, How, How much), is the principle of the project research and judgment.

When using AI, it's good to take this one principle and apply it to your own problems.

If you just type in "help me find a few smart manufacturing companies", then the AI might just list "a few leading companies at home and abroad".

These are all representative, but they don't necessarily match local investment needs.

The correct formula for asking questions should be role positioning + task scenarios + specific requirements + data standards + format requirements + specifications.

Tell the AI who you are + what to do.

First, clarify the identity: "You are now the director of the XX City/District Investment Promotion Bureau", so that the AI knows who we are. Then explain the specific occasion, such as "investment promotion meeting". Lastly, it is clear to attract the target, such as intelligent manufacturing enterprises.

Then explain what must be included, the target is visualized.

Sometimes, AI can't read our needs because of a lack of adequate communication. Therefore, to illustrate clear information, that is, the AI, and the lack of prior tacit understanding between us, to make up, can be asked from several dimensions:

①State the target area, such as the Yangtze River Delta, Beijing-Tianjin-Hebei, Pearl River Delta region;

②Listing the target enterprise specific conditions. For example, 24 years of revenue over xx billion, what is the annual growth rate, R & D ratio is greater than xx%, received several rounds of financing, there is a need to expand production;

③ Output the name of the enterprise, financing rounds, core technology, etc., in accordance with the degree of match to sort.

If you want to find gazelles/specialized/high-tech enterprises, you can take the fuzzy demand and break it down into specific instructions.

For example, "Please screen high-tech enterprises that have been established within 8 years, have an annual growth rate of more than 20%, and have received more than B rounds of financing".

Then add requirements to avoid misunderstandings + examples to demonstrate.

List the precautions, give qualifiers, such as "not too general". You can also give appropriate examples to lower the threshold of AI understanding.

To be more specific, let the AI analyze the opportunities for cooperation with the target enterprise, as well as to undertake the project with supporting conditions and advantages, you can enter the instructions:

"Above the screened-out enterprises, is there an opportunity to cooperate with the city of xxx? If so, what kind of support can XXX City provide and what advantages does it have? Please form a detailed analysis report based on these dimensions."

After this set of processes, you may find that the AI has suddenly become "smart".

It's important to note that AI-generated content, too, has some drawbacks, such as the use of stale, vague data or facts.

The authenticity of some information, especially policy details and legal provisions, still needs to be reviewed manually.

03 Specific Scenarios Case Studies

Merchants' daily work involves various aspects, and in response to the different situations. Specifically how should it be applied? Below, we will analyze a few more common scenarios.

First, let's look at the market research and analysis.

Through AI, we can quickly understand the overall size of the target market, growth trends, consumer preferences and industry competition, and locate the concentration of potential customers.

We can first enter the product keywords to find the relevant potential customers list of companies, based on this go to the official website to get contact information, etc., to shorten the customer screening time.

Next, the industry chain is analyzed in depth, using AI to input keywords of target industries (e.g., new energy, artificial intelligence) to generate industry chain mapping, upstream and downstream enterprise lists and technology trend reports.

For example, you can enter the instruction:

"Please analyze the representative enterprises, technical bottlenecks and potential cooperation opportunities in the power battery industry chain", and the AI will combine multi-dimensional information such as enterprise financial reports, patent data, and so on, to generate a detailed analysis report.

Take a look again, enterprise portrait and bid drawing.

For the target enterprise, AI analyzes the enterprise's expansion needs through multi-dimensional enterprise portrait analysis, centering on more than 10 dimensions of information, such as industry potential, industry direction, and market size.

For example, to determine whether a chip company needs to be close to a foundry.

People can upload corporate annual reports, press releases and other public information, and ask AI to refine their general strategic direction, investment preferences and potential pain points.

For example, one can enter the instruction, "Please analyze the industrial areas and cooperation demands that the company may focus on based on its investment trends in the last 2 years."

Using AI's logical reasoning ability, we simulate the enterprise's decision-making scenarios and generate a matching matrix of "enterprise needs - local resources".

The last thing you need to do is write an investment program.

To let the AI help write an investment program, you can combine the golden formula mentioned earlier, enter the instruction:

"You are the director of investment in the Pearl River Delta xxx park, please target new energy auto parts enterprises, combined with the local supply chain white paper data in 2024, to produce a comparative program that includes the land policy, energy consumption indicators. "

In this process, there may be a problem that the reporting program is not well understood.

In this regard, a requirement can be added: "Please use the data visualization form to present the report content" to present the complex professional content in a more intuitive form.

Sometimes, the answer given by the AI may not be what you want. Then, you can clarify the needs, on the basis of the original, to find a more detailed point of entry down the question.

For example, "Is there a more specific strategy where the advantage is to target xxx industry segments."

Continuously refine the question and ask it several times. Only when the AI really "reads" your needs will it be able to output more accurate answers.

Written in the end

Many people can't use AI assistants well, and it's not that the tool itself has problems. Rather, some key information is overlooked when asking questions.

The skills are used well, the questions are in place, the AI can catch the key points and output more valuable content, thus helping everyone to improve the efficiency of investment. It is also important to realize that AI assumes the role of an auxiliary tool, the essence is to enhance rather than replace. The truly effective application of AI should achieve a synergistic division of labor between man and machine.

For example, in terms of information processing, AI can act as a super brain, rapid filtering of massive amounts of information, investment people to do the "referee", to decide which information is worth to follow up;

In terms of decision-making and implementation, AI provides a reference, the investment people are responsible for the board to finalize the case, choose the optimal path; in terms of customer negotiations, AI can not replace the human bond, here, the AI can not replace the human bond, it is not a substitute for the human bond. can not replace the human bond, here we need to attract people to fill the position.

The only way to stand out in the investment competition is to let AI's rational analysis and human emotional cognition form a complement.