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How to use data to reduce emissions

How to use data to reduce emissions

By Sean Sherwin-Smith

In recent years, there has been an increasing focus on environmentally friendly delivery choices among organizations looking for ways to lessen their operations' impact on the environment.  One of the most effective ways to do this is by leveraging data analytics, AI and machine learning to inform decision-making.

Real-time data can reduce emissions. Delivery management software has a specific role to play in achieving this goal.

The importance of data analytics in carbon reduction

Data analytics play a crucial role in driving carbon reduction efforts. By collecting accurate data on energy consumption, transportation, and supply chain operations, businesses can identify areas where carbon emissions can be reduced. This data can help businesses make more informed decisions, leading to lower emissions and a more sustainable future. According to a study by the World Economic Forum, using data analytics to optimize supply chain operations can reduce greenhouse gas emissions by up to 30%.

The role of delivery management software in reducing carbon footprints

Delivery management software plays a critical role in leveraging data for carbon reduction. nShift uses data to help logistics providers and retailers track transportation emissions. It also provides real-time visibility into delivery operations, allowing businesses to identify areas where emissions can be reduced. According to a report by Allied Market Research, the global emission management software market size was valued at $10.4 billion in 2020 and is projected to reach $43.6 billion by 2030, driven by the increasing demand for software solutions that help businesses track and manage their emissions to reduce their carbon footprint.

Optimizing delivery routes and reducing energy consumption

One of nShift’s key features is our emissions tariff engine, which can calculate emissions at a shipment level in real time. This makes it possible to make decisions based on expected emissions values, to create detailed reports to meet compliance requirements, and even deeper analysis using our analytics business information tools.

This not only saves time and money but also reduces energy consumption and carbon emissions by minimizing the distance traveled by delivery vehicles. The nShift carrier library also highlights carriers that offer energy-efficient modes of transport, reducing the environmental impact of their supply chain operations.

Real-time visibility and accurate data

Another important feature of nShift is its real-time visibility into delivery operations. Businesses can track the location and status of their delivery vehicles in real-time, allowing them to identify areas where emissions can be reduced. For example, if a delivery vehicle is idling for an extended period, businesses can take action to reduce this idle time and lower emissions. By providing accurate data on energy usage, transportation, and supply chain operations, nShift enables businesses to make more informed decisions that lead to lower emissions and reduced costs.

These features and functionalities make nShift an ideal partner for businesses looking to reduce emissions and improve their sustainability.

Data-driven decision making

In conclusion, businesses can use data analytics, AI and machine learning to reduce carbon emissions and improve their sustainability. Delivery management software, like nShift, can play a critical role in achieving this goal. By optimizing delivery routes, providing real-time visibility into delivery operations, and enabling data-driven decision-making, nShift can help businesses reduce their carbon footprint and create a more sustainable future.

If you're interested in learning more about how nShift can help your business reduce emissions, please contact us. Together, we can reduce our carbon footprint and create a more sustainable future for generations to come.

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