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All categories Water conservation Cranberry Analytics
Pune, Maharashtra, India
Cranberry Analytics, founded in 2010 and headquartered in Pune, is a tech-driven company focused on water conservation by enabling effective measurement and management across the entire water supply chain — from distribution to consumption. Their flagship product, Recon, is a comprehensive water-billing, budgeting and management platform deployed with municipal water utilities and private/semi-private water infrastructure firms. Recon integrates data from water consumption meters, smart/sensor-based distribution systems, billing and revenue systems, customer complaint/dispute mechanisms, and more — giving water departments real-time dashboards, analytics, and tools for anomaly detection (e.g. leakages or unauthorized usage), demand forecasting, tariff simulation, defaulter tracking, and efficient dispute resolution. By combining analytics, ML, and IoT, Cranberry Analytics helps its clients — including governments, municipal corporations, and water-infra firms — reduce water wastage, plug revenue leakages, ensure accurate billing, improve transparency, and promote responsible water use. For example, through a long-term project with a municipal corporation, they helped save billions of litres of water and significantly improved billing accuracy and revenue collections. The company envisions scaling its solutions beyond individual cities, aiming to build an end-to-end, sensor-integrated “Integrated Water Management System”: from source water supply to wastewater treatment, enabling better visibility, accountability, and data-driven policy and operational decisions in water-scarce regions.
Shishir Thakur, Amit Deshmukh,Onkar Gauridhar
CEO
Operating since 2011
45 Members
Eco-system
Agricultural Lands
Rivers
Oceans
Cranberry Analytics
Collects water-usage data from meters (mechanical, digital, or smart meters).Digitizes consumer records, meter readings, billing data, and distribution-network data.Converts legacy/manual systems into digital formats for accuracy and transparency.
Integrates IoT devices and sensors into pipelines and water-distribution systems.Uses real-time flow sensors, pressure sensors, and smart meters to track anomalies.Enables remote monitoring of water supply and consumption.
Uses ML algorithms to detect unusual patterns (leakages, illegal connections, meter errors).Performs predictive analytics for demand forecasting.Uses anomaly-detection models to prevent revenue loss and water wastage
Maps the entire water-distribution network using GIS (Geographic Information Systems).Helps identify zones, leakage points, pipe networks, and supply routes.Enables area-wise performance tracking and planning.
Uses a unified platform (like Recon) to generate automated bills.Ensures accuracy by correlating meter data, tariff rules, and consumption patterns.Tracks defaulters, revenue leakages, and
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