How Inquizity Built a $30K/Month Supply Chain Planning and Automation Business
Inquizity grew from reselling a single production planning module into a profitable B2B software company serving 120+ clients by pairing supply chain planning tools with a low-code automation platform and a service-led sales model.
Co-founder · X
Part of Indian SaaS builders
Business snapshot
Monthly revenue
≈₹28.4 lakh/mo
$30,000/mo · reported Jul 2020
- Business model
- SaaS
- Started
- Oct 2011
- Team
- 2 founders + 25 staff
- Based in
- Mumbai, Maharashtra, India
- Monthly revenue
- $30,000
- Clients
- 120+
- Team size
- 25
- Cofounders
- 2
- Award
- CIO Choice Awards 2019
Channels
Tools
- ASP.net MVC
- Angular 7
- PowerBI
- LUIS
- ML Studio
- Excel
- R
- Redis Cache
- CPLEX
- DropSolve
Founder-reported figures, not independently verified. ₹ amounts use the ECB reference rate rate of Oct 2026 (₹94.82/$).
Who built it, and what they built
Ramesh Krishnamurthy founded Inquizity, a Mumbai-based B2B enterprise software company focused on supply chain planning and automation. He studied engineering at NIT Suratkal and earned an MBA from IIM Ahmedabad before starting the venture.
The business began under the name Indus Momentus, reselling and implementing one production planning module. Over roughly a decade it expanded into a full suite of supply chain planning solutions plus a low-code automation platform called dataSAVI, which won the CIO Choice Awards 2019.
Today the company reports more than 120 clients across manufacturing and services, with a team of 25 people and two cofounders.
Where the idea came from
After consulting at KPMG and setting up a greenfield diamond jewellery manufacturing project in Hong Kong and China, Ramesh implemented SAP ERP at the jewellery factory. That project exposed gaps in how ERP systems handle planning, and he noticed many companies were running their planning in Excel spreadsheets.
He began selling and implementing a production planning and scheduling module, and client work quickly surfaced problems across every part of the supply chain, pushing the company toward an end-to-end planning suite.
A second recurring problem appeared in nearly every engagement: clients had no single system to capture operational data from their supply chain. With cloud platforms maturing and bandwidth improving, the team built dataSAVI, a platform to digitalise and automate data capture, aggregation, visualisation, and analysis.
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