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The Letter Profitability Page
AI OCR Address Recognition
Offset the impact of declining volumes by removing the single largest variable cost in mail processing: manual handling, including sequence sorting and video coding.
As commercial mail volumes decline, the unit cost of fulfilling the Universal Service Obligation (USO) rises. Traditional OCR plateaus at ~85-90% read rates, leaving a “stubborn tail” of unreadable mail, particularly at delivery-point level. This requires a dedicated manual workforce that destroys the contribution margin of the letter product.
Manual sequence sorting at delivery offices and 24/7 video coding bureaus are no longer financially viable for a declining product. Every item rejected by the sorter erodes the profitability of the entire batch.
Achieve dark-operation efficiency. Lifting OCR read rates by 2,000 basis points (from ~90% to 99%+) removes the need for manual sequencing and video coding, keeping the letter product cash-positive even as volumes contract.
Escher’s AI engine learns from the reject pile, correctly interpreting handwriting, low-contrast inks, and complex fonts that legacy OCR misses.
Combines database matching with AI context awareness to resolve ambiguous addresses automatically.
Deploys as a software overlay on existing sorting hardware, including BlueCrest, Solystic, and Körber, extending the asset life of legacy sorters.
Escher’s recognition technology enables operators to maintain USO profitability by cutting manual mail processing labor by up to 70%. This restores healthy letter-stream margins without the need to petition regulators for price hikes.
