Intelligent automation for greener logistics

Businesses that assume an environmental, social, and governance process (ESG) are planning for better profits and a cleaner environment.

ESG frameworks supply measuring standards for the good that organizations do past the bottom lines on behalf of shareholders.

ESG standards and the business of logistics

Logistics is a vast industry that includes planning, implementing, and controlling processes for the efficient and adequate transport and storage of goods.

As industry per se, it is not listed in the top most negatively impactful business on the environment; but the transport industry is a significant part of logistics. Transport emissions – primarily road, rail, air, and marine – account for approximately one-fifth of global carbon dioxide (CO2) emissions. Out of this volume, commercial freight is accountable for roughly 40%.

Greener logistics? Is this possible?

Logistics firms, specifically those concentrated on hyperlocal delivery, batching, and fulfillment, may readily embrace ESG standards and, simultaneously, have more efficient deliveries.

Proper planning: Intelligent automation can incorporate and simplify route optimization, warehouse networks, and inventory planning—the results are lower costs, less fuel, less pollution, and better bottom lines.

Improved Transparency: Intelligent automation will get data and check them regarding the orders, invoices, clients, routes, and costs, improving the data management and supporting efficient decisions. Logistics is a data-intensive industry. Data is vital for developing strategies and pushing decisions.

Enhanced Efficiency: Embracing artificial intelligence to empower systems and processes will significantly decrease duplications, errors, and tedious tasks. Both human and machine efficiency will improve, and each job will be executed faster.

What about ESG reporting?

For all publicly listed companies around the globe, ESG reporting is a serious process.

Every ESG strategy’s essence is data that ought to be pinpointed, organized, processed, documented, and monitored. In a recent survey from Deloitte, 57% of survey respondents (executives roles) said that data access and accuracy are their most significant challenges concerning ESG reporting.

As UiPath published in a recent study, RPA will support the ESG processes by:

  • Streamline auditing procedures
  • Collect data from various applications and systems
  • Support data management
  • Track and report on progress against specific environmental targets, such as carbon emissions

Intelligent automation might help logistics go greener. Are you looking for a solution for better profit and a better world? Contact us!

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