NRF | Reverse logistics: The cornerstone of the circular economy – National Retail Federation | NRF

NRF | Reverse logistics: The cornerstone of the circular economy – National Retail Federation | NRF

 

Reverse Logistics: A Framework for Achieving Sustainable Development Goals

Reverse logistics represents the operational backbone of the circular economy, extending beyond simple product return management to ensure that goods and materials retain value post-sale. This process is instrumental in advancing several United Nations Sustainable Development Goals (SDGs), particularly SDG 12 (Responsible Consumption and Production), by transforming waste streams into valuable resources.

The Reverse Logistics Process and its Contribution to SDG 12

Reverse logistics encompasses all activities related to the backward flow of products from the consumer to the manufacturer or distributor. Unlike forward logistics, its complexity lies in the varied disposition pathways for each item, directly supporting the targets of SDG 12 by promoting reduction, recycling, and reuse.

Core Activities

  • Returns Management: Handling products returned by consumers.
  • Inventory Recovery: Managing unsold or excess stock.
  • Refurbishment and Remanufacturing: Inspecting and repairing items for resale.
  • Recycling and Materials Recovery: Processing items to reclaim raw materials.
  • Donation: Redirecting usable goods to charitable organizations.
  • Responsible Disposal: Ensuring end-of-life products are disposed of with minimal environmental impact.

The Disposition Pathway

The operational flow of reverse logistics is a multi-step process designed to maximize value recovery and minimize waste, aligning with SDG 12.5, which aims to substantially reduce waste generation.

  1. Product Recovery and Inspection: Returned items are collected and assessed to determine their condition, resale potential, and material composition.
  2. Disposition Decision: Based on the inspection, a decision is made to either resell, refurbish, recycle, donate, or dispose of the item.
  3. Value Recovery Channels: Items are routed to appropriate channels. Refurbished goods may enter secondary markets, such as online platforms or liquidation outlets, contributing to economic circularity and supporting SDG 8 (Decent Work and Economic Growth).
  4. Material Recycling: Products unsuitable for resale are broken down. Materials like plastics, metals, and textiles are sorted and sold for use in new manufacturing, reducing the demand for virgin resources.
  5. Donation and Disposal: Items that can be repurposed are donated, extending their life and providing social value. Any remaining materials are disposed of responsibly to mitigate environmental harm.

Circularity in Action: Aligning Corporate Strategy with Global Goals

Strategic partnerships in reverse logistics demonstrate how businesses can achieve economic objectives while contributing to global sustainability targets. These collaborations are a practical application of SDG 17 (Partnerships for the Goals).

Industrial Symbiosis: The Home Depot and Glad

The collaboration between The Home Depot and Glad exemplifies a closed-loop system that supports SDG 12. The Home Depot collects used plastic stretch wrap from its operations and sells it to Glad. Glad then uses this recycled material to manufacture new trash bags. This partnership achieves two key sustainability outcomes:

  • It diverts a significant volume of plastic waste from landfills, directly addressing waste reduction targets.
  • It creates a new revenue stream from a waste product, demonstrating a viable business case for circularity.

Community Support and Social Impact: The Home Depot and Good360

The partnership between The Home Depot and the nonprofit Good360 highlights the social dimension of reverse logistics. By redirecting surplus inventory that would otherwise be liquidated to communities in need, the company supports SDG 11 (Sustainable Cities and Communities). This initiative prevents usable goods from becoming waste while strengthening community resilience.

Technological Innovation for Sustainable Supply Chains (SDG 9)

Technology is a critical enabler for optimizing reverse logistics and scaling its impact. The adoption of advanced systems aligns with SDG 9 (Industry, Innovation, and Infrastructure) by fostering innovation and upgrading industrial capabilities for sustainability.

Current Technologies

  • Data Analytics: Platforms that provide visibility and control over reverse logistics operations, enabling businesses to automate the resale of returned goods.
  • Management Platforms: Third-party software solutions that accelerate returns processing, inventory management, and resale logistics.

Future Trends

  • Automation and Robotics: Robotic systems are increasingly used for sorting and handling returned items, improving efficiency and accuracy.
  • Artificial Intelligence (AI): AI-powered systems are being deployed to predict return volumes, identify optimal resale channels, and forecast material recovery rates, enabling more strategic and sustainable decision-making.

1. Which SDGs are addressed or connected to the issues highlighted in the article?

The article on reverse logistics and the circular economy directly addresses and connects to several Sustainable Development Goals (SDGs). The core themes of waste reduction, resource efficiency, sustainable business practices, and partnerships are central to the following goals:

  • SDG 9: Industry, Innovation, and Infrastructure: The article highlights how technology, automation, and AI are being used to create more efficient and sustainable industrial processes for managing returned goods, which aligns with building resilient infrastructure and fostering innovation.
  • SDG 11: Sustainable Cities and Communities: By focusing on diverting waste from landfills and donating usable goods to communities in need, the practices described contribute to more sustainable waste management and support community well-being.
  • SDG 12: Responsible Consumption and Production: This is the most prominent SDG in the article. The entire concept of reverse logistics—including recycling, refurbishing, reusing, and reducing waste—is fundamental to achieving sustainable consumption and production patterns and creating a circular economy.
  • SDG 17: Partnerships for the Goals: The article explicitly emphasizes the importance of collaboration. The examples of The Home Depot partnering with Glad and the non-profit Good360 demonstrate how private sector and civil society partnerships are crucial for achieving sustainability goals.

2. What specific targets under those SDGs can be identified based on the article’s content?

Based on the activities and outcomes described in the article, several specific SDG targets can be identified:

SDG 12: Responsible Consumption and Production

  • Target 12.2: “By 2030, achieve the sustainable management and efficient use of natural resources.” The article’s description of turning used plastic stretch wrap into new trash bags is a direct example of making more efficient use of resources by treating waste as a raw material.
  • Target 12.5: “By 2030, substantially reduce waste generation through prevention, reduction, recycling and reuse.” The entire reverse logistics process detailed—refurbishing items for resale, recycling materials like plastics and textiles, and donating goods—directly contributes to this target by diverting products and materials from landfills.

SDG 11: Sustainable Cities and Communities

  • Target 11.6: “By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to… waste management.” The partnership between The Home Depot and Glad, which “diverts plastic waste from landfills,” is a clear example of improved waste management that reduces the environmental burden of commercial activities.

SDG 9: Industry, Innovation, and Infrastructure

  • Target 9.4: “By 2030, upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies…” The article mentions that “Automation and artificial intelligence (AI) are increasingly used to streamline reverse logistics operations,” which points to the adoption of new technologies to make industrial processes more sustainable and efficient.

SDG 17: Partnerships for the Goals

  • Target 17.17: “Encourage and promote effective public, public-private and civil society partnerships…” The article provides concrete examples of such partnerships, including the business-to-business collaboration between The Home Depot and Glad and the business-to-nonprofit partnership between The Home Depot and Good360, which are described as key to aligning “economic value recovery with environmental and social impact.”

3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?

The article is primarily descriptive and does not provide specific quantitative data. However, it implies several indicators that could be used to measure progress towards the identified targets:

Indicators for SDG 12

  • Implied Indicator for Target 12.5: The article states that reverse logistics “diverts plastic waste from landfills.” This implies an indicator such as the volume or percentage of waste material (e.g., plastics, textiles, metals) successfully diverted from landfills and channeled into recycling or reuse programs.
  • Implied Indicator for Target 12.2: The example of Glad using recycled plastic to manufacture new trash bags suggests an indicator related to the amount or percentage of recycled content used in the manufacturing of new products.

Indicators for SDG 11

  • Implied Indicator for Target 11.6: The focus on responsible disposal and diverting waste from landfills implies an indicator measuring the total volume of corporate waste recycled or repurposed, contributing to the overall reduction of waste sent to municipal disposal facilities.

Indicators for SDG 17

  • Implied Indicator for Target 17.17: The article highlights specific collaborations. Progress could be measured by the number of active cross-sector partnerships established by a company to improve sustainability outcomes, such as those focused on recycling or community donations.

Indicators for SDG 9

  • Implied Indicator for Target 9.4: The mention of AI, robotics, and data analytics suggests an indicator related to the level of investment in or adoption rate of sustainable technologies within logistics and supply chain operations to improve resource efficiency.

4. Create a table with three columns titled ‘SDGs, Targets and Indicators” to present the findings from analyzing the article.

SDGs Targets Indicators (Implied from the Article)
SDG 12: Responsible Consumption and Production Target 12.5: Substantially reduce waste generation through prevention, reduction, recycling and reuse. Volume or percentage of waste material (e.g., plastic stretch wrap) diverted from landfills and directed to recycling or reuse channels.
SDG 12: Responsible Consumption and Production Target 12.2: Achieve the sustainable management and efficient use of natural resources. Percentage of recycled content (e.g., used plastic) incorporated into the manufacturing of new products (e.g., trash bags).
SDG 17: Partnerships for the Goals Target 17.17: Encourage and promote effective public-private and civil society partnerships. Number of active partnerships between private companies (e.g., The Home Depot and Glad) and between companies and non-profits (e.g., The Home Depot and Good360) for sustainability.
SDG 11: Sustainable Cities and Communities Target 11.6: Reduce the adverse per capita environmental impact of cities, including by paying special attention to waste management. Total volume of corporate waste that is recycled, repurposed, or donated instead of being sent to landfills.
SDG 9: Industry, Innovation, and Infrastructure Target 9.4: Upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies. Adoption rate of technologies like AI, robotics, and data analytics to streamline and optimize reverse logistics operations for greater efficiency and sustainability.

Source: nrf.com