Waste recycling companies use data analytics to optimize quality management, procure materials, and optimize supply chain data. They are making a positive impact on the environment by giving back to nature. Besides, they are mobilizing the market forces and leveraging data analytics to build a sustainable future.

Quality is an important issue for the recycling industry, and data plays an important role in uncovering the insights. Recycling companies observe a gap in the data efficacy and data transparency. So, they employ data analytics and dashboards to gain actionable business insights.

Recycling companies use data analytics

1) Operations management & problem solving

Recycling companies use machine learning and data analytics to collect the data of individual paper bales. The data analysis reveal bale quality insights. Therefore, the organizations determine how climate influences moisture of recycled materials. Deep data analysis helps to locate the hidden opportunities & solve the business problems. Moreover, the companies forecast demand based on historical trends, and the sellers better manage their inventory. Overall, data analytics helps to cut down the operational costs across the industry.

2) Cloud-level data tracking and predictive modelling

Waste recycling institutions that use connected devices and adopt big data analytics services leverage centralized information and analytics. Moreover, recycling companies with cloud connectivity have the added advantage of collecting data at every waste recycling stage. This enables them to take more data-supported business decisions and answer important business questions.

For example, analyzing the data on incoming materials helps to determine the source of contaminants. And the sorting centers determine the variance level of contaminants and maintain the material quality accordingly.

Data analytics solutions help the recycling companies to determine how the quality of recycled paper material influences the complete product. Further, predictive modelling is employed to make better material purchase decisions, thereby reducing material procurement costs. And all these insights are coordinated by cloud, connected devices, and data dashboards.

3) Supply chain management

Big data analytics has a big impact on supply chain management in recycling industry. The typical supply chain is complex, slow, and expensive with a greater number of mobile parts. Supply-based management and analytics solutions are used to establish better visibility of products in the supply chain. It helps to reduce costs across the company’s supply chain, thereby increasing profits.

Data analytics solution providers for waste recycling companies are delivering solutions that are plug-and-play into the business ecosystem. As a result, the data dashboards instantly connects with the customer datasets, performs analysis, and furnishes the insights.

So, are you a waste recycling company looking to employ data analytics services? Deevita can help you leverage your data. Request a FREE demo today.