For nearly a decade, I worked across multiple industries—sometimes as a payroll employee, sometimes as a freelancer. Those ten years became my real classroom. I didn’t just do my job; I observed everything around it. How systems are built. How they succeed. How they silently fail.

I saw the greatness of systems—how structure brings discipline, speed, and clarity. But I also saw their weaknesses, especially in traditional ERPs.

One question kept bothering me:
Who actually owns the data when a company uses an ERP?

In theory, the company does.
In reality, the system decides.

I watched data analysts struggle daily. They had ideas, insights, and new reporting requirements from their bosses—but their hands were tied. ERP rules didn’t allow them to restructure data freely. Creating new data points meant development tickets, approvals, waiting periods, and sometimes outright rejection. Innovation slowed down not because people lacked ideas, but because systems lacked flexibility.

That frustration stayed with me.

By 2023, I decided it was time to build something different. I wanted to create a complete ERP—one that lived on the Google platform. Initially, I assumed discussions would happen in English. But as I interacted more with real business owners, I realized something important: clients think, discuss, and decide in Hindi. So in 2024, I consciously chose to continue in Hindi—because technology should adapt to people, not the other way around.

I deeply studied Google Sheets—its strengths and its limitations. I respected its simplicity, but I also understood where it fell short. Using my industry experience, I designed solutions to overcome those weaknesses. That’s when I built a complete ERP on Google using Google Apps Script.

The philosophy was simple:
No technical language. No coding knowledge. No dependency.

If someone knows basic computer usage, they can set it up.

There are no fixed structures. No hard limits on customization. Clients can design their own system—by themselves.

The system doesn’t ask for technical specifications. It asks only one thing:
How does your business actually work?

If an enquiry is received, the setup is straightforward. You decide what data you want to record—customer name, number, email, city, country, product, description, offer date—whatever matters to your business. Just add the column names.

Then you define the next step:

• What happens after this?
• Who is responsible?
• How much time should this step take?

The system automatically calculates the planned date for the next step. It triggers email follow-ups to the responsible person. It tracks whether work is done on time or delayed. It moves the enquiry from one step to the next—automatically—until the final stage.

The same logic applies to sample orders, bulk orders, or any workflow automation. You define the steps. The system follows them.

Managers get clear visibility:

• How many tasks each user is handling
• How many are completed on time
• How many are delayed

Data analysts finally get freedom. They can access raw data for reporting, build insights, and even customize structures—if they have permission. The business gets complete data ownership, full transparency, and unlimited adaptability.

And when it came to pricing, I made another conscious decision. I priced it roughly equal to one month’s average employee salary—and that’s it.

No recurring charges.
Lifetime free usage.
Six months of free support.
Free version updates.

Because I didn’t want to sell software.
I wanted to remove dependency.

This journey—from observing broken systems to building a flexible one—comes from experience, frustration, learning, and empathy for real businesses. I didn’t create an ERP to control processes. I created one to set data and people free.