/ Quotations and documentation · PUBLISHED CASE

Yashatej Metal Scrap Trading

A business application built by explaining the workflow in Marathi

A solo trader built a weight, invoice and document application by explaining the business workflow in Marathi.

Metal scrap tradingSole proprietorSource pages 50–51

MCCIA-PUBLISHED CASEANALYSED BY DOTSUPERNOT PRESENTED AS A DOTSUPER CLIENT

/ THE SHORT VERSION

A solo trader built a weight, invoice and document application by explaining the business workflow in Marathi.

01 / BUSINESS CONTEXT

The work before the tool.

Yashatej is operated by one person who prepares quotations, invoices, agreements and weight calculations while coordinating with buyers and an accountant.

THE OPERATING CONSTRAINTEvery document was created manually, which made urgent responses difficult while travelling. English-language communication also added friction with some clients and suppliers.

02 / THE INTERVENTION

What changed in the workflow.

Using Gemini and Google AI Studio, the founder described the process in Marathi and created an application for weighbridge data, weight calculations, invoice generation and document sharing. AI also supported translation and message drafting.

DEPLOYED VS. PLANNED

The report states that the application moved into business use within 9 to 10 days. Continued automation and import-export support are future goals.

03 / REPORTED OUTCOMES

The numbers, with their labels attached.

~2 minurgent quotation preparedReported by the organisation in the MCCIA publication. Not independently audited.

9–10 daysfrom adoption to business useReported by the organisation in the MCCIA publication. Not independently audited.

1 appowner-operated workflowReported by the organisation in the MCCIA publication. Not independently audited.

Before and after, based on the published case narrative
Workflow area	Before	After
Quotation	Manual preparation could wait for office support	An urgent quotation was prepared in about two minutes
Documentation	Weights and documents handled across manual steps	One application supports calculation, invoices and sharing
Language	English communication created additional effort	The founder can explain tasks in Marathi and review translated outputs

04 / HUMAN CONTROL

Capability matters when people stay in control.

The founder remained the operator and reviewer of quotations, invoices and commercial communication. The application organised the work without making business commitments independently.

05 / WHAT A SIMILAR BUSINESS SHOULD TEST

Transfer the pattern, not the conclusion.

01
Natural-language interfaces can lower the barrier to building a small internal tool.
02
A solo operator still needs backups, validation and document controls.
03
The best first app can mirror an existing process before trying to reinvent it.

06 / SOURCE AND LIMITS

What this page can and cannot establish.

This analysis summarises outcomes published in MCCIA’s AI: Compilation of case studies (2026), printed pages 50–51. The work was conducted through the MCCIA Applied AI Studio. The report credits the Studio team managed by Neeraj Thakur, with Gauri Kale and Ismail Patel. The featured organisation is not presented as a dotSuper client.

01The report provides one urgent quotation example, not a distribution of completion times.
02The publication does not provide accuracy, compliance or security testing for the custom application.

Read the original MCCIA publication

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