Intelligence & Automation
Stop guessing. Let data tell you what's happening.
Know which products are profitable, when a machine will fail, and when a shipment will be late — before it costs you.
The Problem
By the time the report lands, the window to act has closed.
No Status Visibility
0%
of manufacturers run on delayed data
By the time the report lands on your desk, the window to act has already closed.
No Status Visibility
0%
of manufacturers run on delayed data
You don't know which products are actually profitable until the year-end numbers come in.
No Status Visibility
0%
of manufacturers run on delayed data
Machines break down with no warning, stopping the line for hours or days.
Inventory Blind Spots
0%
of stock lost to waste
Inventory is either stocked out or overstocked because forecasting is a gut call.
What we deliver
What we deliver.
Process
The process.
01
Data Audit
02
Model & Metrics Design
03
Build & Integrate
04
Monitor & Refine
Proof
The result in practice.
Unplanned downtime and stockouts: down 58% in two quarters
Machine downtime and inventory decisions were both made by instinct — nobody had a single view connecting production data, stock levels, and equipment health.
An electronics and PCB assembly manufacturer (illustrative example)
In Their Words
Results, in their own words.
“Our RFQ turnaround dropped from 3 days to under 4 hours.”
We stopped losing jobs to faster competitors almost immediately.
Operations Director
Operations Director, Metal Fabrication Client
“B2B buyer onboarding used to take our team days of back-and-forth.”
Now it happens digitally and our sales team focuses on selling.
Head of Sales
Head of Sales, Food & Beverage Client
“We had zero real-time visibility into production.”
Now every supervisor sees live floor status without calling anyone.
Plant Manager
Plant Manager, Auto Components Client
“The dealer portal replaced a fragmented mix of emails and spreadsheets.”
Our channel partners can now place orders and track shipments independently.
Managing Director
Managing Director, Industrial Equipment Client
Who It's For
Is this a fit for your operation?
Industries We Serve
Company Size
Manufacturers with enough production and sales history to model — typically ₹25 Cr+ revenue
Good Fit If
- —You're making inventory, maintenance, or pricing decisions by gut feel
- —Equipment downtime or stockouts are recurring, costly problems
- —You have historical data sitting unused in spreadsheets or your ERP
FAQ
Common questions.
Not always — some engagements start with data you already have (ERP, production logs). Where physical monitoring is needed, we scope and deploy sensors as part of the project.
Accuracy improves as models see more of your real data. Most engagements start with a baseline model and refine it over the first 60–90 days against actual outcomes.
A focused engagement covering one or two use cases (e.g. predictive maintenance on key machines) typically takes 8–14 weeks from data audit to live monitoring.
Every engagement is scoped individually — which use case, data readiness, and how many you need all affect cost. During your free assessment, we give you an exact number within 48 hours, not a guess.
Often Paired With
Explore our other services.
Ready to fix it?
One problem. Scoped in 4 weeks.
No pitch, no generic demo — a plan built around what's actually slowing you down.
Book a 30-Minute Call ↗30 minutes, straight to the fix. No sales script.