Creating commercial reports can take a lot of time and effort. You must collect data, organize, find information and then write a message, sometimes every week or month. This process is not only slow, but also leaves space for human mistakes.
Now imagine if an innovative tool could do everything for you faster and more precisely. That’s exactly that Generative can do. It can read raw data, understand this and automatically create complete commercial messages with summons, graphs and suggestions.
In this tutorial, we will look at how Gnerative AI is used to convert data into messages, why it matters and how you can start using them in your business.
What is generative AI?
Generative is a type of artificial intelligence that can generate New content. This included text writing, creating images, creating code and creating complete commercial messages.
Simply put, it’s like having an intelligent assistant who reads your data and writes a message for you, just like a person.
How to ask a question when reporting
Here is how it works generally, step by step:
- Data input: You upload your unprocessed data (Excel, CSV or from the control panel).
- Data understanding: AI reads and understands data: numbers, columns and trends.
- Generation: It will find out what is necessary, such as increasing sales or changing customer behavior.
- Creation of text and graph: AI writes a clear summary, creates visual graphs and presents suggestions.
- Closing report: You will receive a completed message ready to be sent or presentation.
Companies are already using tools such as GPT (from Openai), Gemini Google and AI -trained models for these purposes.
Example: Automation of Monthly Sales Message Messages
Okay, let me analyze it for you, step by step.
Let’s say you run a small online store. Every month you export your sales data to Excel. This data included:
- What products were sold
- How many units
- How much money did you earn
- Where do customers come from
Now, traditionally, someone (maybe you or your team) wow:
- Open this Excel file.
- Look for trends like the product has sold the most.
- Maybe create several charts or charts.
- Then write a brief summary as:
“Product and was our best seller in April. Most customers came from Bangalore. We made 12.5 lakhs, which is 15% increase from March.”
The whole thing can take 2-3 hours Every month. And honestly, it’s a boring, recurring task.
Now we bring generative AI
Here them generative AI will change the game. Think about having a really smart assistant that:
- Can read Your sales information.
- Can understand What is happening inside.
- Can Wred Summary in itself.
- Can Assemble the charts Also for you.
All in seconds.
How does it actually work (simply)
- Upload an Excel file (Gold connect it to the dashboard such as Google Leaves or Power BI).
- The AI generative tool searches your data as well as your Wow brain.
- It selects things like “product and has the highest sales” or “incomes increased by 15%”.
- Then he writes a complete message for you using a natural language, almost like a human.
- Some tools can even add colored column charts or cake graphs to make them look great.
Outcoma in the real world
Instead of spending 2-3 hours submitting a sales report, you will now get:
- Message ready to use in minutes
- Automatically updated every month.
- Zero manual efforts
- Consists of formatting and fewer mistakes
It is not about replacing you; It is about relaxing time to focus on a larger decision.
Example: Automation Weekly Message on Customer Support Support
Imagine that you are working on the Mobile Application Customer Support Team. Each week you get information about:
- The number of ticket support
- The most common customer problems
- Average response time
- Customer satisfaction score (CSAT)
USCALLY, a team member collects all this data and writes postponed as:
“This week we receive 1,240 ticket support. The most reported problem was the application crashes during login. O or the average response time was 2.1 hours and the total CSAT score was 4.2 out of 5.”
With generative AI you can generate the entire message Automatically.
Thus:
- AI connects to your support platform (such as Zendesk or FreshDesk).
- Reads data and identifies key points, like trends, time metrics and feedback.
- He then writes a complete summary and may even include graphs showing ticket trends.
You don’t make you write a single word. AI describes it quickly, clearly and composes every week.
This case becomes common for novice companies and large companies, especially for teams that need to regularly report performance.
The benefits of automation of commercial messages
- Will save time: The flow lasted for hours, it can now be done in minutes.
- Removes errors: No additional manual errors in calculating summaria Gold.
- Better knowledge: AI can see patterns that people could miss.
- Consistency: Follow the message standard format every time.
A box in the real world
- Marketing teams: Reports on the performance generated by AI from advertising campaigns.
- Dirty teams: Monthly summary with knowledge and recommendations.
- Financial department: Budget monitoring, summary summary and income forecast.
- Customer support: Reports of ticket volumes and trends of feedback from customers.
Challenges to be kept in mind
- Data quality: AI is just like the data you give them.
- Concerns about personal data protection: Make sure sensitive data is protected.
- Adaptation: Some reports still need a human touch for a tone or strategy.
How to start
You do not have to be a scientist in the use of generative AI in your business. Many tools now offer easy-to-use platforms with Drag-and-Drop features. You can also try creating your own solutions using tools like:
- Chatgpt (to generate text)
- Table + GPT plugins
- Microsoft Power Bi with Copilot
But if you just start the game and want to really understand it as These systems work and how to use it effectively for your projects or career growth, then you should start:
Tea Generative Race It is a premium, deep race designed for professionals. It breaks complex AI concepts into simple, practical lessons. You will learn how to:
- Tasks in the real world such as reports, content generation and more
- Use quick engineering to control AI outputs
- Tune models for your business needs
- Create projects ready for portfolio you can show
In the end you not only know how AI works, you will know how to do it Use it Drive an impact in your work or business.
Frequently asked questions (FAQ)
1. Can E -Maly or Cottage Protocols process from non -compatible data according to generative AI?
Generative AI can actually process unstructured data such as e -mail, chat protocols, etc., and customer reviews. The processing of the natural language (NLP) allows him to extract under the knowledge, find common ground and even summarize large volumes of texts into meaningful points for messages.
2. Will I have to train the AI model with my company data?
Is not necessary. Pre -trained models are available with tools for men coming out of the box. For more accurate or industrial security reports, you can try your model with your data and improve the output. In particular, it is useful in Domans, such as health, legal finance of gold.
3. What do generative AI do to ensure that the message is consistent across the share of Dena?
AI tools only work within the bounds of predefined templates and logic, which means that no matter what team, department or customer reports, tone, format and structure remain the same. Organizations that want to have standardized reports without manual formatting consider it useful.
4. Is it possible to edit messages that have nature -generated nature?
In fact, most generative AI tools offer options such as human control and modification. Finly, you can change the content, tune the language and include information before handing over the final message. The reports are accurate and in connection with trade in this cooperation of man-.
5. Which industry would most benefit from using AI to automate messages?
Companies that are electronic trade, finance, healthcare, SaaS, logistics and marketing consider it extremely useful. Generative AI can be used by any domain that deals with a report that has a recurring base with structured and semi -structural data to save time for traders and provides better knowledge.