An Automated Photo-Based Sorting System to Solve Complex Return Inspection Delays for Small Online Malls

As e-commerce return rates surge, small malls still rely on manual visual inspections, leading to delays and disputes. This system automatically analyzes photos taken by workers to instantly determine item damage, reducing inspection time and improving accuracy.

While online shopping returns are increasing, small businesses must manually check the condition of each returned item. This delays refunds, increases labor costs, and frequently causes conflicts with consumers due to the difficulty of proving the exact condition.

As fast refunds become a core competitive advantage for e-commerce platforms, efficient return logistics management is essential. With lightweight image pattern analysis technology and high-quality smartphone cameras, it is the perfect time for small warehouses to adopt automation without expensive equipment.