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Labour Hours Reduction
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Parcel Recognition Peak Resilience
Escher’s deep-learning parcel-label recognition reads handwritten, damaged and plastic-wrapped labels at 99%+ accuracy and <200ms — letting postal sorters absorb Black Friday, Singles Day and Christmas volume spikes without scaling temporary headcount.
The "Peak" Panic
E-commerce volumes are volatile. During peak season, operators scramble to hire expensive temporary staff to decipher shipping labels that legacy scanners can’t read, driving up cost-per-parcel and risking network backlogs.
Handwritten, damaged, or plastic-wrapped labels are the Achilles heel of automated sorting. When machines fail, operations slow down and labor costs spike.
Elastic Operations
Build a sorting network that scales elastically. Escher’s deep-learning OCR hits 99%+ recognition on difficult parcel labels, cutting manual exception handling by 50-80%. Absorb volume spikes without adding headcount and de-risk Peak Season.
"Route Ready" AI
Sophisticated neural networks decipher unreadable labels, including handwriting and reflective plastic wrap, at line speed.
Omni-Format Reading
Automatically detects and reads barcodes, QR codes, and alphanumeric text simultaneously.
Virtual Video Coding:
For the <1% of items the AI can’t read, images are routed to remote clerks instantly, keeping the physical package moving.
Logistics networks using Escher AI have virtually eliminated the reject-chute bottleneck. By automating data capture on difficult parcels, operators report maintaining Peak Season throughput with standard staffing levels and eliminating the need for emergency temporary hiring.
IT & Procurement Confidence
- Speed: <200ms recognition time supports high-speed parcel sorters.
- Support: 24/7 “Peak Season” support SLAs.
- Hardware: Compatible with standard industrial cameras.
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