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As the title says, does everyone use DeepSeek now? In what operational links does it apply? I still use it mostly for daily chats and translations. I have seen relevant content on Zhiwubuyan and tried to throw advertising data to it for analysis, but it is still not good enough. It may still be of some reference value to newbies. I want to know if there are big guys who use DeepSeek in mature fields now? Please share! tkxuanwu Agree with: dswsaaa, liwen95, WNYB, like to repair Gou Xiu Gou, Manchuanqingmengyaxinghe more » Here are some ideas for you:
1. Practical case study of "AI+operation" by mature sellers ▍Case 1: Development of hot-selling products - from data cleaning to decision-making closed loop
A 3C seller's instruction flow (monthly sales of $500,000+ team):
Data preprocessing:
"Extract negative reviews of Amazon product B0B1234567 that mention 'battery life' in the past 30 days, and sort the keywords by frequency of occurrence"
→ Output: battery life (38%), slow charging (25%), heat generation (18%)
Demand conversion:
`"Based on the above pain points, design differentiated selling points for 3 improved versions of Bluetooth headsets, requiring:
Compatible with existing production lines Cost increase <$1.5
Comply with FCC certification standards"`
→ Solution: Graphene heat sink + fast charging chip + power visualization LED
▍Case 2: Advertising ROAS optimization - from attribution analysis to strategy iteration
Operation flow of a home furnishing seller:
Data feeding format:
1. [Campaign A] 15,000 impressions, 0.8% click rate, $1.2 CPC, 2.1% conversion rate
2. [Campaign B] 8,000 impressions, 1.5% click rate, $0.9 CPC, 3.8% conversion rate
In-depth diagnostic instructions:
`"Use Bayesian algorithm to simulate the potential returns of two strategies:
Strategy 1: Shift 20% of budget from A to B
Strategy 2: Optimize A’s keywords (currently large keywords account for 70%)
Please output the prediction results with a confidence interval ≥ 90%"`
→ Conclusion: Strategy 2 can reduce ACoS by 2.3%-3.1%
2. Quick Start Guide for Newbies ▍Translation Scenario Upgrade Solution
Traditional instructions:
"Translate this Chinese to English" → Mechanical translation of high-level instructions:
"Convert the following product description into American slang style (target audience: skateboard enthusiasts aged 18-24), retain the core selling point but add street culture elements: [original text]"
▍Advertising data analysis and optimization
Inefficient feeding:
Directly paste the original data table → AI cannot recognize key fields. Correct posture:
Data preprocessing: Use Excel to filter out abnormal items with CTR < 0.5% or ACoS > 30%. Structured questions:
"Analyze the Q2 advertising data in the attachment (classified by SP/SB/SD), and require:
Find the keywords with the top 10% consumption but lower conversion rate than the average and compare them with the average CTR of the top 100 competitors in the same category (reference value 1.2%)
Give budget reallocation suggestions (in tabular form)"`
3. Guide to Avoiding Pitfalls Data desensitization: Delete sensitive information such as order number/ASIN before feeding Knowledge truncation: Set "Please answer based on Amazon policies after 2023"
Result verification: Add "Please list 3 variables that may overturn this conclusion" to key decision suggestions
Chandlerr Product Development:
Data crawling: Provide ASIN, DeepSeek can help generate crawler code and automatically crawl text or pictures (this function is more complicated and requires certain computer skills, but it is indeed very powerful. Many colleagues who do crawlers may be affected by this. My previous company spent nearly one million yuan on crawlers every year, and this money was saved).
Data analysis: With data, the analysis method has also changed. In the past, you needed to use pivot tables and spend a whole day analyzing dozens of dimensions. Now you only need to tell AI what you need and get results quickly, which greatly improves efficiency. When the boss is in a meeting, he can directly ask AI to generate data based on his sudden ideas or dimensions. The previous way of persuading the boss by personal charm seems to be less effective.
R&D innovation: Innovation no longer requires looking for information everywhere. Just tell DeepSeek what the selling point is, and it will help you find relevant improvement cases on the Internet. The R&D staff will then verify the feasibility of these improvements. For example, the selling point of warm clothing is traditionally velvet, quilting, etc., but DeepSeek can tell you new technologies such as electronic heating, and new products can be formed in an instant. The information gap between new technologies and cross-category success stories has narrowed, making innovation easier, but this also means that the value of differentiation may gradually weaken? (PS: Is it still a price competition in the end? I really complain).
Creativity: Data is important, but it is worse to have no data than to look at data alone. The problem of product homogeneity caused by data is becoming more and more serious, so R&D personnel should pay more attention to inspiration and feeling. Some people say that R&D is a talent, and data is just an auxiliary tool. Perhaps the emergence of AI can make this "talent" more concrete.
Anonymous user Agree with: Amazon worker, Fat Fu's father, Road Unknown-Jatty, Epualxxp, ouendkan For individuals:
1. Product selection: It mainly provides inspiration. AI can give a general direction, but many of the products it selects are difficult or impossible to make. You have to screen them yourself, and there will be surprises occasionally. Then the profit accounting and improvement direction can be calculated for him according to needs. You still have to do deeper market research yourself, and AI is not very useful in in-depth research.
2. Links: Like GPT, it is a good tool for preliminary word screening and link writing, and even English novices can use it well. Then it provides pictures and A+ shooting suggestions.
3. Daily operations: Email communication with customers is very useful. Inventory control also has a certain reference value. Give him Amazon's sales data and the manufacturer's production cycle, your own transportation price and timeliness, and the comprehensive calculation of configuration fees and freight can also save some trouble.
4. Advertising: It is totally useless after using it. It is more reliable to adjust the advertising by yourself. The suggestions it provides are better than those provided by simply going to an ERP and checking the advertising data. It may also be that I don’t know how to use it.
5. Data analysis: A lot of data can help you analyze. But it is not realistic to do it all at once. Generally, you have to find it step by step to optimize it. If you don’t understand, just ask. It is very useful for both reporting and documents.
For Enterprises:
The main thing is that after configuring high-end equipment for local deployment, in addition to all the above operations, it can also achieve the effect of low-end ERP, and in some places it is even better than ERP. Anyway, it is all kinds of intelligent reminders for operational operations and various data integration and analysis.
PS: This thing is much better than search engines. After using GPT and deepseek, I rarely open Google and Baidu.
Lawyer Cai Qiongwen Agree with: Fat Fu's Dad, Why Am I Such a Bad Guy, JCKJ888, IAMKriz Occupation: Lawyer.
I used DeepSeek to test the answers to legal questions several times.
From a professional's perspective, I can only say that you must not blindly trust AI's answers, and you must do a good job of reviewing them, especially for professional content such as law and medicine. AI's answers are based on the integration and screening of existing online content, but online content is inherently mixed, and some conclusions and information scattered in various corners of the Internet are wrong or outdated. The conclusions drawn on this basis are naturally very likely to be wrong.
DeepSeek’s attitude of “admitting mistakes” is really great. When I point out its mistakes, it will correct them immediately and give the opposite answer.
The most outrageous thing is that I found several times that the "cases" it provided were fictitious. . .
Forget Agree from: No nickname 123, Wang Canmou, Edith Sisi, Zhou Wenxia AI is completely possible to replace operations. It doesn’t necessarily have to be Deepseek. At least for now, AI is still operated by humans.
In the future, each company may only need a professional AI team to build its own AI model.
Later, through API, AI can automatically reply to emails and solve pre-sales and after-sales problems.
After product selection training, product analysis and selection are realized, and the listing is directly generated and uploaded
Procurement still requires human input, but advertising can also be trained to be completely independent of human input.
Shipping labeling still requires people, it may take some time for robots to replace them kkmmyy • Shantou • 12 hours ago If the cost of AI comes down, everyone will actually be on the same starting line.
WORLD1 To be honest, there is no need to worry. I used to work on databases. In fact, the essence of AI is a database. If you ask it, it will find the right one for you on the Internet and send it to you. Why is it so popular now? Because there is no growth point in the Internet now, and there must be something to maintain growth. Otherwise, haha. Finally, how to use it, just treat it as a search engine.
Anonymous user It is true that AI is indispensable, but it is mainly used for daily chores and eliminating grammatical errors and polishing sentences during the copywriting stage. It is more efficient to look at the advertisements by myself. AI analysis is still too general and requires a lot of conditions to be accurate. It is faster to adjust the advertisements by myself if I have the time.
Anonymous user If you have studied AI (I mean studying in outside institutions), you will know that AI can be used to improve work efficiency in drawing, making tables, emails, etc., but this may be what I need in my daily life. You say what AI can be used for, it depends on what your needs are?
Anonymous user Agree from: 5805ABC, Jimuxinglaiye, Hahapipi, Carooo, No Nickname 123 More » When will DeepSeek be optimized? I can only ask it one question at a time, and it starts saying "the server is busy, please try again later" every time I ask the second question. It's even more lazy than me... Refreshing the page doesn't work either, it's still busy, I can only ask again after a few hours... Gary0728 • Guangzhou • 15 hours ago Use silicon-based flow to match cherry studio
Crc145 It is mainly used for email reply and translation, and the others are only suitable for rough reference and providing ideas. Without detailed data and special tuning, the output content is difficult to use directly.
LBWNB1 In fact, it will not replace it. The current AI only provides you with a way to reduce your rapid thinking. It will not have any subjective impact. I use it as Baidu and assistant anyway.
sunshine33 Deepseek still needs to continue learning, and can be used for some management analysis or summary. Some advertising analysis may be difficult for novices to understand, and veterans may find it a little off.
forince Agree from: 5805ABC Deepseek is really easy to use, but the server was busy after I asked the first and second questions, which seriously affected the experience. The inference model is really good and can cover many points that you may not consider.
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