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Enevo Logo

Enevo

Optimising Waste Collection
European Union
2010
Private
< $10m
51 - 200
Open website
By collecting and analysing data from refuse Containers across the world, Enevo is able to create efficiencies and cut the cost of waste collection and incentivise recycling. Enevo simplifies, de-risks and optimises the waste management process, helping to make a sustainable waste-free environment a more achievable proposition.
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Enevo provides the first predictive end-to-end solution that automates the whole planning and operations of waste and recycling logistics. Its Enevo ONe solution combines IOT technology and real-time data and analytics, including trend data from fill-level sensors in waste Containers, for optimized planning and routing of collection services. A key component is a self-learning routing engine that adapts to day-to-day changes in demand and enables service providers to cut costs and improve customer service and satisfaction.
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Enevo is a provider of Industrial IoT analytics and modeling, functional applications, and sensors technologies, and also active in the buildings, cities and municipalities, and recycling and waste management industries.
Technologies
Analytics & Modeling
Big Data Analytics
Predictive Analytics
Real Time Analytics
Sensors
Level Sensors
Functional Applications
Remote Monitoring & Control Systems
Use Cases
Predictive Waste Reduction
Process Control & Optimization
Regulatory Compliance Monitoring
Track & Trace of Assets
Functions
Business Operation
Logistics & Transportation
Industries
Buildings
Cities & Municipalities
Recycling & Waste Management
Services
Data Science Services
Testing & Certification
Enevo’s Technology Stack maps Enevo’s participation in the analytics and modeling, functional applications, and sensors IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies2
Improving Recycling Collection Performance
Improving Recycling Collection Performance
In 2015, HFTH, members of the Western New York Coalition for Donated Goods (WNYCDG) and the City of Buffalo diverted 4,800 tons of unwanted clothing and textiles for reuse. In an age of growing consumerism, HFTH’s ambition is to provide even greater support for the homeless. Its management team’s aim is to expand their recycling and collection capabilities, with the goal of achieving zero waste to landfill from its operation. HFTH was founded in 1990, starting out with a small number of recycling collection containers around the WNY area. Nick Calandra, COO and Corporate Secretary of HFTH, describes the management of those containers saying, “We personally checked every container and it was easy to memorize locations and estimate fill speeds in order to organize our truck routes and collections.” However, as the organization grew and the collection points spread across a wider area, manual logistics planning became more complex and efficiency dropped. It got to the point where containers were being emptied when only 30% full, simply because they were located on the regular collection routes. HFTH sought a solution that would allow them to scale operations, optimize collections and, wherever possible, automatically adjust routes to maximize collection efficiency.
How we helped this property management company secure LEED certification
This property management company needed accurate waste reporting to meet sustainability certification standards, but their previous waste provider could only provide general estimates. 
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