Scientific Paper · source-verified

Using AI for Optimizing Packing Design and Reducing Cost in E-Commerce

Hayder Zghair and Rushi Ganesh Konathala · 2025-07-04

This research explores how artificial intelligence (AI) can be leveraged to optimize packaging design, reduce operational costs, and enhance sustainability in e-commerce. As packaging waste and shipping inefficiencies grow alongside global online retail demand, traditional methods for determining box size, material use, and logistics planning have become economically and environmentally inadequate.

Show citation

Hayder Zghair and Rushi Ganesh Konathala. 2025-07-04. Using AI for Optimizing Packing Design and Reducing Cost in E-Commerce. https://www.mdpi.com/2673-2688/6/7/146 (AI & Environment Resource Hub; record paper-355; collection snapshot 2026-09-15).

Classification and context

Included in the original Scientific Paper collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.

pathway

topic

lifecycle

orientation

Definitions, inclusion guidance, and examples →

Available source metadata

Author or creator
Hayder Zghair and Rushi Ganesh Konathala
Publisher
MDPI
Publication date
2025-07-04
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source status
verified
Last verified
2026-09-15T16:58:06Z
Snapshot import
2026-09-06
Legacy domain
Materials, Waste & Circular Economy
Legacy subdomain
E-Commerce Waste Recycling with AI
journal
MDPI

Provenance and review

Source sheet: Scientific Paper · Row 359 · Original ID: paper-355.

View source spreadsheet ↗

A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-15. Source identity and required metadata verified. The import date is not the original date added.

Suggest a correction for this record →

Related through shared environmental topics

Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.

Shared topics: Cross-cutting sustainability; Governance and society; Materials and critical minerals; E-waste and circularity; Transport and logistics

Podcast · 2025-06-19

The Role of AI in Sustainable Transport

In this episode, Stephanie McLarty speaks with Rich Savoie, CEO of Adiona Tech, about the importance of sustainable logistics and the role of AI in optimizing transport emissions. They discuss a circular pilot project in Australia focused on recycling champagne corks and the challenges faced in the logistics of recycling. Rich shares insights on the significance of commercial transport emissions, the lessons learned from the pilot, and how AI can help improve supply chain efficiency. The conversation emphasizes the need for businesses to engage CFOs in sustainability initiatives and the urgency of taking action towards greener logistics.

Apple Podcasts

Shared topics: Cross-cutting sustainability; Governance and society; Transport and logistics

Scientific Paper · 2025-08-01

A Systematic Review of GIS Evolution in Transportation Planning: Towards AI Integration

This study provides the first PRISMA-guided, longitudinal review of 241 GIS-based transportation planning studies from 2004–2024, revealing trends toward sustainability, equity, and advanced technologies while highlighting persistent challenges and offering guidance for inclusive, data-driven mobility strategies.

Future Transportation

Shared topics: Cross-cutting sustainability; Governance and society; E-waste and circularity

Podcast · 2025-07-01

AI for Impact: Scaling Circular Economy and Sustainable Supply Chains

Sushma Kittali Weidner shares how AI technologies are transforming circular economy strategies and improving supply chain sustainability. The episode highlights innovations, metrics, and real-world case studies where AI supports ESG-aligned goals.

CSY Impact Consulting

Shared topics: Cross-cutting sustainability; Governance and society; Transport and logistics