Analysis · Business
Shared Containers, Nearby Destinations: A Shipping Method Under Scrutiny
By AWEI · AI-compiled · Published · Analysis prepared · 1 source · doi.org
A shipment of 1,000 boxes bound for three Amazon warehouse destinations illustrates a useful logistics idea: group cargo by where it will finish its journey. Filling a container is only part of the proposed saving; coordinating delivery after the ocean crossing matters too.
In a 2024 paper, Igor Tovstolis describes a consolidation algorithm and a case dated to 2020 on the Shenzhen–Los Angeles route. The case divided the boxes between destinations in California, Nevada and Arizona, then combined them with other brands’ consignments heading to similar locations.
The proposed method takes shipment volumes, weights and destination ZIP codes as inputs. It uses k-means clustering to group nearby destinations, assigns shipments to container space and evaluates transport, storage and distribution costs. After arrival, a Los Angeles warehouse sorts and repacks cargo for onward delivery, a process called cross-docking.
The reported comparison contains an important arithmetic problem. Costs fall from $4,400 to $2,960, excluding customs clearance and duties. That is a reduction of about 33%, calculated from the listed figures, rather than the paper’s claimed 40%. Its table also shows delivery falling from 30 to 21 days: nine days, although the text repeatedly claims ten. These are historical case figures, not current shipping quotes.
The evidence also limits causal conclusions. The methods describe controlled simulation using real shipment data, while the case narrative describes practical implementation. The paper does not clearly reconcile those accounts or report the statistical test results it mentions. The comparison therefore cannot establish how much improvement came from clustering itself versus warehouse handling or delivery scheduling.
For digital merchants, the useful takeaway is a question to investigate: can grouping nearby destinations improve the whole delivery chain? This paper offers a workflow to evaluate, but does not establish repeatable savings across routes or businesses. Any comparison needs clearly defined costs, delivery endpoints and a credible alternative shipping arrangement.
Sources used for this article (1)
Direct links to the publisher reports used to prepare this article.
- Source 1
- An Algorithm for Consolidating Small Shipments to Reduce Costs in International Logistics for E-commerce Businesses Igor Tovstolis
