Recently, the AI ​​tool DeepSeek has become very popular! 🔥

Don’t just watch the fun, in the future AI will become the “standard” in our work and life.

All walks of life are embracing AI, and smart cross-border sellers have begun using DeepSeek to optimize Amazon operations.

Only by seizing the trend can we win in the future!

Today, we will share some super practical DeepSeek commands to help you easily operate on Amazon!

What is DeepSeek? How to use it?

1. Visit DeepSeek official website

https://www.deepseek.com/

2. Register and log in to start a conversation

3. Check "Deep Thinking (R1)": Suitable for complex problems that require in-depth analysis and multi-dimensional solutions

Online search: Turn on the online function, DeepSeek will combine the latest network information to give more comprehensive and accurate answers, which is especially suitable for scenarios that require the latest information.

Asking questions is also a technical job!

The four golden elements:

Identity: Provide context (e.g., “I’m an Amazon seller”).

Task: Clarify the requirements (e.g. “help me optimize my listing”).

Details: Complete and supplementary (such as "limited word count/language").

Format: Specify the output format (such as "table/chart/code").

❌ Incorrect example:

“Help me analyze the sales trend of Bluetooth headsets.”

✅ Correct example:

“Assuming you are a professional data analyst, please analyze the future sales trend of Amazon’s smart Bluetooth headsets in Germany in 2024 in the form of a chart, taking into account factors such as holiday promotions.”

Practical application of DeepSeek in Amazon operations

Scenario: The ACOS of automatic advertising is relatively high, and the conversion rate of manual advertising continues to decline.

instruction:

“As an Amazon advertising optimizer, please analyze the advertising report data I provided (attachment upload: SP/SB/SD advertising report), requirements:

① Identify high-loss keywords/product positioning with ACOS>30%;

② Compare the advertising structure of excellent sellers in the same category (differences in matching type/bidding strategy/time period setting);

③ Output step-by-step optimization plan:

Emergency processing (actions that can be performed within 24 hours);

Mid-term adjustment (7-day AB testing plan);

Long-term strategy (bidding model reconstruction path).

Use red, yellow, and green lights to mark priorities and generate weekly monitoring data dashboard templates. ”

2. Multi-dimensional product selection analysis

Scenario: Find a blue ocean product with high demand but low competition.

instruction:

“I am a seller on Amazon Japan. I want to find blue ocean products with high demand but low competition. Please play the role of a product selection data analyst and give a reasonable product selection guide in the form of a table.

Require:

Based on the full-year data of the Japanese site in 2024, filter the categories that meet the conditions:

Monthly search volume growth rate ≥ n%;

Average score of TOP100 products ≤ n;

The proportion of new sellers is <n%.

Conduct three-dimensional evaluation of candidate categories:

Supply chain complexity (Chinese supplier concentration);

Compliance risk index (recent policy change records);

Seasonal fluctuation coefficient (Google Trends curve).

Mark the threshold warning lines of each dimension and generate a visual report with a radar chart. ”

3. Accurate profit calculation

Scenario: How to calculate the true profit margin and avoid missing out on hidden costs.

instruction:

“Generate an Amazon FBA product profit calculation template, which requires:

Cost Items (24 required fields):

Explicit costs: purchase price/first-leg freight/Amazon commission, etc.

Hidden costs: excess storage fees/return losses/wasted advertising click rates, etc.

Dynamic calculation logic:

① Set different daily average sales volume gradients (10/30/50 orders);

② The relationship between inventory turnover rate and long-term storage fees;

③ The advertising expense ratio warning value is automatically marked in red (>15%).

Output format: Interactive Excel table (with formulas) + break-even point calculation diagram. ”

4. Keyword Research

Scenario: Find high-traffic, high-conversion keywords.

Chinese command example:

Generate a list of 20 high-traffic keywords for silicone baking mat.

List the top 10 long-tail keywords for wireless headphones.

Recommend 5 low-competition organic baby clothing keywords.

Find 15 keywords related to reusable grocery bags.

Provide 10 high conversion keywords for portable mobile phone chargers.

5. Listing Optimization

Scenario: Write localized and vivid listing copy to improve conversion rate.

Instruction example:

“You are a senior Amazon copywriting expert in [country of sale]. Please write localized and vivid copy for me, which can impress consumers and increase product exposure and conversion rate.

Brand name: [Brand name]; Product model: [Product model];

Product name: [Product name]; Product target audience: [Usage scenarios]; Core parameters: [Product parameters].

Based on the above information, write a title/five points/Description. ”

DeepSeek does much more than that!

As long as you master the questioning skills, it can become your "all-round assistant" to help you reduce operational pressure and improve work efficiency.

Amazon + Deepseek practical operation guide