Case study · Mesco Springs, spring maker in Mumbai

Suppliers, stock and books in one connected workflow

How a spring maker serving elevators, rail and switchgear joined up supplier quotes, warehouse stock, invoices and reports in TranZact.

CityAndheri, MumbaiIndustryMechanical tools & supplies

Before

The old waySilos

Mesco has made springs since 1969 for domestic and export markets. Its custom springs go into elevators, construction equipment, valves, switchgear, agriculture and rail.

As it grew, processes stayed separate across teams. Working with many suppliers, tracking transactions and stock, and keeping books on time were the main problems.

Mesco needed one system for these jobs without adding big capital costs.

What changed

TranZact was set up on Mesco's existing data and processes.

  1. One timeline of transactions.

    Every transaction sits in order, so nothing has to be pieced together later.

  2. Stock, invoices and cash flow together.

    Warehouse stock is controlled alongside invoices and cash flow.

  3. Supplier quotes side by side.

    Quotations from several suppliers are compared at the same time.

On its earlier case study page, Mesco reported 42% higher accounting efficiency, 16% faster sales closures and 61% higher testing capacity.

What they use TranZact for today

As published on letstranzact.ai (October 2026), Mesco Springs uses TranZact to:

  • Keep an accurate timeline of transactions

  • Control warehouse stock with invoices and cash flow

  • Compare quotations from multiple suppliers

  • Manage customer follow-ups and sales closure

  • Run reports from one central data store

Questions owners ask

Can TranZact compare quotes from several suppliers?

Yes. Mesco Springs evaluates quotations from multiple suppliers side by side in TranZact.

Can stock and invoices be tracked together?

Yes. Mesco controls warehouse stock along with invoices and cash flow in one place.

Does TranZact work with our existing data?

At Mesco, TranZact was set up on the company's existing data and processes.

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