For small and medium-sized sellers striving on Amazon, operation is like a never-ending marathon. Every day, we face a massive amount of data to process: fluctuations in sales, increases and decreases in orders, returns on advertising spending… These data are like pearls scattered on the ground, requiring us to pick them up one by one and string them together to see the patterns behind them and guide our next operational direction.

However, the traditional manual reporting method is like picking up pearls with bare hands—time-consuming, laborious, and prone to errors, leaving us exhausted. Is there no more efficient, more intelligent method? The answer is yes! Today, we’ll talk about Amazon seller reporting automation tools and how to use them to make operations easier and more efficient.

The Dilemma of Traditional Reporting: A Time Black Hole and Data Maze

Think back, have you ever stayed up late to create an operational report? Have you ever been frustrated by formula errors in Excel spreadsheets? Have you ever been at a loss when facing data scattered across various platforms? Manual reporting is like a time black hole, devouring our precious energy.

Specifically, the disadvantages of traditional methods are mainly reflected in the following aspects:

• High Time Cost: Manually collecting, organizing, and analyzing data requires a lot of time and manpower, squeezing the time we spend on more important tasks such as product development and marketing promotion.
• Frequent Human Errors: Manual operation is prone to errors. A small formula error can lead to data distortion in the entire report, affecting the accuracy of decision-making.
• Low Efficiency: Reports cannot be generated quickly, data updates are delayed, making it difficult to detect problems and make adjustments in time, missing business opportunities.
• Limited Analysis Depth: Tools like Excel have limited performance when processing massive amounts of data, making it difficult to conduct in-depth data mining and analysis, failing to discover the deep-seated patterns hidden behind the data.
• Data Silo Effect: Data from various platforms is scattered and needs to be manually integrated, forming “data silos,” making it difficult to form a global view, which is not conducive to the formulation of overall operational strategies.

These problems are even worse for small and medium-sized sellers with limited resources. Limited manpower and material resources are tied up by tedious data processing work, unable to focus on more important business development, and often at a disadvantage in the fierce market competition.

Breaking Free: Amazon Data Pilot, a Powerful Tool for Reporting Automation

Are we doomed to be trapped in the quagmire of manual reporting? Of course not! The emergence of Amazon Data Pilot brings us a brand new solution. It’s like a sharp sword, cutting through the tediousness of manual reporting and freeing us from the shackles of data.

Amazon Data Pilot is an operational report generation tool designed for small and medium-sized Amazon sellers. It does not require complex API docking, the operation is simple and intuitive, even operational personnel who do not understand technology can easily get started. Its core function is to help operations staff quickly fill in forms and directly generate the required operational data tables by configuring operation headers.

The advantages of Amazon Data Pilot are reflected in the following aspects:

• Intuitive and Easy to Use, Ready to Use: The simple and clear operation interface does not require any programming foundation. Just simple configuration can quickly generate reports. It bids farewell to complex formulas and codes, making data analysis readily available.
• Flexible Configuration, Highly Customized: Supports personalized operational reports. You can freely configure headers according to your needs, and the product will automatically fill in the required data to generate unique operational tables. It truly achieves “my report, I decide.”
• Convenient Data Transmission, No API Docking Required: Supports data transmission in CSV format. Without the need for cumbersome API docking, it can be used directly, greatly reducing the threshold for use. Even operational personnel who do not understand technology can easily master it.
• What You See Is What You Get, Barrier-Free Communication: The report generation process is visualized, and the results are clear at a glance, effectively reducing misunderstandings and deviations in demand communication, and improving communication efficiency.
• Powerful Data Support, Insight into Opportunities: Based on the powerful data capabilities of Amazon Data API, it provides a simple data acquisition logic. Only 2-3 steps are required to identify target data, such as best-selling lists and keywords, helping sellers quickly gain insight into market opportunities.
• Cross Analysis, Discovering Correlations: Supports cross-generation of tables from different types of page data for cross-analysis, helping sellers discover the internal correlations between data and thus more comprehensively understand the market and products.

For example, an Amazon seller who sells home goods needs to analyze sales data for the past week, including sales, order volume, return rate, etc. Using Amazon Data Pilot, they only need to simply configure a few headers to quickly generate a report containing all the data, clearly understanding the store’s operational status. As another example, a clothing seller wants to compare the sales performance of different products. Through Amazon Data Pilot, they can easily generate a comparison table containing product sales data, thereby identifying the best and worst performing products and adjust operational strategies accordingly.

Expanding Horizons: Amazon Data API and Amazon Scrape API, More Powerful Data Engines

In addition to Amazon Data Pilot, Pangolin also provides more powerful data solutions for Amazon sellers with different needs: Amazon Data API and Amazon Scrape API.

Amazon Data API: Providing Strong Data Support for Medium and Large Sellers

If Amazon Data Pilot is a lightweight tool tailored for small and medium-sized sellers, then Amazon Data API is a heavy-duty data engine built for medium and large sellers. It targets users who need deep data integration and customization, providing powerful API interfaces that can directly call Amazon front-end data without the need for web page parsing.

The advantages of Amazon Data API lie in:

• Massive Data, Everything You Need: Provides massive Amazon data to meet the needs of large-scale data analysis, helping enterprise-level sellers conduct deeper market insights.
• Highly Customized, Precise Acquisition: Supports custom fields, you can obtain specific data according to your own needs to meet personalized data analysis needs.
• Flexible Application, Free Combination: Allows users to flexibly assemble data according to their own business scenarios to build customized data analysis models.
• Simple to Use, Efficient Integration: Based on the powerful capabilities of Amazon Scrape API, it is simple and convenient to use and can be quickly integrated into existing business systems.
• High Data Quality, More Accurate Analysis: Directly obtains clean data with high parsing accuracy, avoiding data errors caused by web page parsing, making analysis results more accurate and reliable.
• Custom Fields, Meeting Personalized Needs: Custom fields can be added in single page types to obtain richer and more comprehensive data to meet personalized business needs.
• Serving Business Flows, Flexible Construction Scenarios: Can serve the customer’s data business flow, allowing customers to assemble business scenarios themselves and build data applications that better fit their own business needs.

Amazon Scrape API: Providing Raw Data for SaaS Providers and Large Sellers

Amazon Scrape API is more inclined to technical users, such as SaaS providers, large sellers with system development capabilities, etc. It provides the raw HTML code of Amazon’s original pages, and users can parse and process it according to their own needs.

The highlights of Amazon Scrape API are:

• Powerful Collection Capability, Comprehensive Coverage: Supports the collection of all front-end page data on Amazon, including keywords, lists, details pages, reviews, etc., almost covering all the data on the Amazon platform.
• Massive Task Processing, Efficient and Stable: Has massive task processing capabilities, can process more than 20 million pages per day, ensuring the efficiency and stability of data collection.
• Complete Information, Comprehensive Insight: The collected information is the most complete, even including Sponsored advertising positions, helping users to more comprehensively understand the market and competitors.
• Most Complete Page Types, No Data Left Out: Can obtain all front-end data of Amazon to ensure the comprehensiveness and integrity of data collection.
• Near Real-Time Updates, Seize Opportunities: Supports up to 3-minute updates to help users keep abreast of market dynamics and seize business opportunities.
• Support Mobile Data Collection, Wider Coverage: Not only supports PC data collection, but also supports mobile data collection, covering a wider range of users.
• Designated Postal Code Collection, Precise Positioning: Supports designated postal code collection to help users more accurately locate target markets.

Conclusion: Choose the Right Tool, Achieve Excellent Operation

In this data-driven era, Amazon operations cannot be separated from data support. Choosing the right tools can free us from tedious data processing and focus on more important strategic decisions and business development. Amazon Data Pilot, Amazon Data API, and Amazon Scrape API provide comprehensive data solutions for Amazon sellers with different needs. Small and medium-sized sellers can choose the easy-to