Cognecto Resources Case Study
Case Study · Water
7 min read · February 2026 · Cognecto Team

34% NRW reduction in six months — WATCO Odisha.

How DMA-level water balance analytics turned 50% non-revenue water into a structured loss-detection workflow — recovering revenue and rebuilding consumer trust across 120 km of distribution network.

34% NRW reduction in six months — WATCO Odisha.
−34%
NRW reduction
+28%
Billing accuracy
120 km
Network
Customer
WATCO (Water Corporation of Odisha)
Resource type
Case Study · Urban water utility deployment
Sector
Water · Urban Utility · Government
Cognecto modules
Boson + Cortex · Smart Water solution

Water lost. Location unknown. NRW above 50%.

Non-revenue water was WATCO Odisha's single biggest operational cost — at over 50% of total production, more than half of every litre treated was being lost before it reached a paying consumer. The utility knew water was being lost. It did not know where, how much per zone, or who was responsible.

Physical leak surveys, manual meter reading, and periodic spot checks had been running for years without meaningful improvement. The data needed to identify where losses were occurring did not exist in a structured form that could drive prioritised field action.

  • NRW above 50% — half of every litre treated lost before paying consumer
  • Loss location unknown — could not prioritise field investigation
  • Manual meter reading — billing accuracy and disputes worsening
  • No DMA-level water balance — losses invisible at zone granularity

A knowledge graph of every pipe segment.

Cognecto deployed AMR smart metering, segmented the 120 km network into District Metered Areas, and built a Cortex knowledge graph linking every sensor reading, every consumption anomaly, every billing discrepancy to the pipe segment and district it came from.

NRW was no longer a single percentage — it was a map of loss severity per zone, ranked by intervention value. Minimum Night Flow analysis isolated background leakage. Field crews finally had data to direct investigation.

"NRW fell 34% in the first six months. Billing accuracy improved 28%."

Both outcomes from the same data, structured correctly for the first time. The water network at WATCO Odisha did not change. The infrastructure did not change. What changed was the data layer underneath — and the operational decisions that data made possible.

The numbers behind the story.

−34%
NRW reduction · six months
+28%
Billing accuracy
120 km
Network under Cortex
Daily
Water balance per DMA
Zero
Manual meter reading
Recovered
Consumer trust
"Non-revenue water was our single biggest operational cost. We knew water was being lost — we did not know where, how much, or who was responsible. Cortex built the knowledge graph of our network. NRW fell 34% in the first six months. Billing accuracy improved by 28%. Both outcomes from the same data, structured correctly for the first time."
Managing Director
WATCO Odisha · Urban Water Distribution · Odisha, India