AI in Logistics: Optimizing Container Fill Rate with Computer Vision
<p>One of the most glaring inefficiencies in logistics is the problem of empty space. Shipping containers, the lifeblood of global trade, often sail partially filled, wasting precious space and resources. This inefficiency translates to an increase in operating costs and damage to the sustainability of business and the environment.</p>
<p><strong>Higher transportation costs</strong><br />
Carriers base their charges on the container size, not the amount of cargo it holds. This means that even a partially filled container costs the same as a fully packed one. To put it in perspective, A.P. Moller — Maersk, as reported by <a href="https://www.statista.com/statistics/1314913/ap-moeller-maersk-container-freight-rates/" rel="noopener ugc nofollow" target="_blank">Statista</a> (2018–2023), saw a significant increase in freight rates during the Covid-19 pandemic. So, shipping partially filled containers essentially boils down to paying for empty space instead of valuable cargo, impacting your return on investment.</p>
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