Normalized claim
Cost: 25% decrease
Reduced operational costs in waste collection by up to 25% through route optimization
Last evidence check: Jul 22, 2026
Minsait's Onesait Platform: Transforming Waste Management in Circular Economy
Use case typeIntelligent waste managementUpdated Jun 13, 2026
The Onesait Platform by Minsait utilizes cutting-edge Microsoft technologies to streamline and optimize waste management while contributing to the circular economy. The platform integrates advanced analytics, IoT, digital twins, and machine learning capabilities, with elastic deployment powered by Azure Cloud. A major component of this innovative system is Onesait Recycling, which is designed to address the challenges of inefficient waste collection and processing, offering sophisticated digital tools to monitor, analyze, and boost recycling rates. Additionally, the Onesait Platform fosters a broader value ecosystem by uniting transactional and big data processes under a cohesive integration.
Reported outcomes
+20%
quantified impactSustainability & resources
−25%cost
Strategic outcomes
Cost efficiencyReduced waste collection operational costsSustainability & ESGIncreased recycling ratesBetter decisions & insightFaster decision-making from real-time insightsScale & capacityEnabled multi-city deployment scalability
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Quantified impact: 20% increase
Increased recycling rates by 20% in pilot deployments
Last evidence check: Jul 22, 2026
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Minsait
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- Microsoft AppSource
Manual waste collection routes caused inefficiencies and higher operational costs Low recycling rates due to poor monitoring and data visibility Fragmented data sources prevented holistic waste management analytics Difficulty in predicting waste generation trends and optimizing resource allocation Integrated Azure IoT sensors for real-time waste container monitoring Leveraged Azure ML for predictive analytics and demand forecasting Implemented digital twins to simulate and optimize waste managem
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 5
- 1Intelligent Waste Collection Route Optimization
- 2Automated Recycling Performance Monitoring and Reporting
- 3Predictive Analytics for Waste Generation and Resource Planning
- Manual waste collection routes caused inefficiencies and higher operational costs
- Low recycling rates due to poor monitoring and data visibility
- Fragmented data sources prevented holistic waste management analytics
- Difficulty in predicting waste generation trends and optimizing resource allocation
- Integrated Azure IoT sensors for real-time waste container monitoring
- Leveraged Azure ML for predictive analytics and demand forecasting
- Implemented digital twins to simulate and optimize waste management operations
- Unified big data from transactional sources for comprehensive analytics
- Reduced operational costs in waste collection by up to 25% through route optimization
- Increased recycling rates by 20% in pilot deployments
- Provided real-time insights leading to faster decision-making and improved regulatory compliance
- Enabled scalability across multiple cities with elastic Azure cloud deployment
Sources & evidence1
Evidence: Medium60/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Quantified outcome available
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
Live sourceStill referenced
The case's original source is still reachable.
- Cited source last checked Jun 12, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Published: Apr 28, 2025Publisher: Microsoft AppSource
AI-generated summary. Verify important details with the linked sources before relying on this case.
Explore related AI use cases
Customer evidence
Provider evidence
Market context
Browse the catalog
Was this useful?
Community
Comments
No published comments yet.