RowSpeak e-commerce data analysis, starting with natural language questioning!

In the world of e-commerce, the word data always shines with a light that cannot be ignored. The daily sales data from various platforms is like a treasure trove that records the rise and fall of brands, consumer preferences, and the heat and cold of the market. But digging out valuable insights from this treasure trove is like searching for treasure in a giant maze, which is both time-consuming and laborious. But now with RowSpeak, everything is different.

Natural language questioning, made simple

One of the best things about RowSpeak is that it supports natural language questions. You don't have to memorize those complicated functions and formulas, nor do you have to search for those hidden functions between tabs, and you don't have to worry that a single input error will cause the whole analysis result to be wrong. Now, it's as easy as talking to a professional data analysis assistant and asking for the answers you need.

Example:

You want to know which product is selling well, you can just say to RowSpeak: Analyze the sales data and tell me which product is selling the most? Instead of manually filtering and calculating, a few keywords will allow it to pinpoint the best sellerfor you.

You want to know about profitability, you can say, What are the SKUs that have a 25% profit margin? It will help you filter out the high profit babies, so you won't get lost in the huge amount of data.

Case Study: RowSpeak in Action for E-Commerce X

For example, before E-Commerce X used RowSpeak, every product review was like a data nightmare. There were thousands of SKUs in their products, and the sales volume, return rate, profit, etc. of each SKU were all piled up in a messy way in the table. Every time you want to find out which SKU is the real “best seller”, or which SKU has a ridiculously high return rate, you have to spend hours or even days. Moreover, due to the lack of data analysis ability, it was difficult for them to make adjustments quickly, resulting in the market competition was always half a beat slower.

Later, X E-commerce introduced RowSpeak, from the front-end Kanban data to RowSpeak, through natural language questions, they can easily get the analysis results they want, greatly improving operational efficiency. For example, if they ask find out the top 10 SKUs in terms of sales volume, RowSpeak can quickly filter them out and generate an intuitive Bar Chart, allowing the operation team to see at a glance which SKUs are the real hot items. The RowSpeak can quickly filter the SKUs and generate a visual Bar Chart. It can also further analyze the reasons why these SKUs are being returned, such as product quality issues, logistical problems, etc.

Why is RowSpeak so powerful?

Behind RowSpeak is a very smart and powerful set of algorithms. It automatically recognizes key information in the natural language you enter, such as the fields you want to analyze (SKUs, sales volume, return rate, etc.), the timeframe of the analysis (the past week, the past month, etc.), and the specific analysis needs (e.g., to find the highest-selling SKUs or to count the return rate, etc.). It then quickly filters, calculates, and analyzes the data based on this information and generates a clear, intuitive result. Whether it's through tables, charts or text reports, RowSpeak makes it easy to understand the hidden mysteries in your data.

For ecommerce merchants, this means you can focus more on more important things like product optimization and customer service, rather than wasting time on data processing. Try RowSpeak for free now!