{"id":31144,"date":"2026-06-10T17:59:01","date_gmt":"2026-06-10T17:59:01","guid":{"rendered":"http:\/\/test.tranistics.com\/nvision\/?page_id=31144"},"modified":"2026-06-14T20:35:25","modified_gmt":"2026-06-14T20:35:25","slug":"nsure-ai-data-capture","status":"publish","type":"page","link":"http:\/\/test.tranistics.com\/nvision\/nsure-ai-data-capture\/","title":{"rendered":"nSure AI Data Capture"},"content":{"rendered":"

Transform Transportation Documents into Actionable Intelligence<\/h1><\/div>

Transform Transportation Documents into Actionable Intelligence<\/h1><\/div>

Transform Transportation Documents into Actionable Intelligence<\/h1><\/div>

Automate document processing, improve data accuracy, and deliver audit-ready information across freight and parcel operations.<\/p>\n<\/div>

\n Discuss Your Use Case<\/a>\n See How It Works<\/a>\n <\/div>
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\n 30+ yrs<\/span>\n Logistics Expertise<\/span>\n <\/div>\n
\n Any<\/span>\n Providers \u00b7 Format \u00b7 Language<\/span>\n <\/div>\n
\n 5-Layer<\/span>\n Intelligence Pipeline<\/span>\n <\/div>\n <\/div><\/div><\/div>
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PDF<\/div>\n
EDI<\/div>\n
API<\/div>\n\n
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\n nSure<\/small>\n AI<\/strong>\n \n <\/div>\n <\/div>\n\n
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\u2713<\/div>\n
\n Clean Data<\/strong>\n <\/div>\n <\/div>\n\n
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Bad data breaks good audits.<\/h3><\/div><\/div><\/div>

Transportation providers invoices arrive in dozens of formats, languages, and layouts. When document data is messy at ingestion, every downstream step suffers, errors pass through, recovery drops, and teams burn hours on cleanup before audit can even begin.<\/p>\n<\/div><\/div><\/div>

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01 - INGESTION<\/div>\n

Errors Pass Through<\/h3>\n

Poor data quality at ingestion means billing errors slip through audit checkpoints undetected. Garbage in, garbage out - and missed dollars.<\/p>\n

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02 - RECOVERY<\/div>\n

Recovery Drops<\/h3>\n

Incomplete or misread invoices mean overcharges are never flagged and never recovered. Money you're owed walks out the door silently.<\/p>\n

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03 - VELOCITY<\/div>\n

Teams Slow Down<\/h3>\n

Manual document checking, reformatting, and correction consume hours before audit even begins. Headcount goes up; throughput doesn't.<\/p>\n

\n \n <\/rect>\n <\/rect>\n audit<\/text>\n manual prep<\/text>\n 83% time<\/text>\n <\/svg>\n <\/div>\n <\/div>\n <\/div><\/div><\/div><\/div><\/div>
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From raw document to audit-ready data. Automatically.<\/h2>\n

\n Every invoice flows through five processing layers. The packet on the right is a real document moving through the system - watch what it becomes by the time it reaches the audit engine.\n <\/p>\n <\/div>\n\n

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Raw Invoice<\/div>\n
EML \u00b7 PDF \u00b7 EDI<\/div>\n <\/div>\n\n \n
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L01<\/div>\n
\n <\/path><\/path><\/circle><\/circle><\/svg>\n <\/div>\n
Ingestion<\/div>\n
Email, PDF, paper, EDI, API, Transportation providers portals.<\/div>\n <\/div>\n\n
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L02<\/div>\n
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Recognition<\/div>\n
Identifies document type without templates.<\/div>\n <\/div>\n\n
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L03<\/div>\n
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Extraction<\/div>\n
Line-item detail. Not just header data.<\/div>\n <\/div>\n\n
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L04<\/div>\n
\n <\/path><\/svg>\n <\/div>\n
Validation<\/div>\n
Completeness, duplicates, formatting flags.<\/div>\n <\/div>\n\n
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L05<\/div>\n
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Output<\/div>\n
Clean, standardized, audit-ready data.<\/div>\n <\/div>\n\n \n
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\u2713<\/div>\n
invoice<\/span>#A7F2<\/span><\/div>\n
transportation providers<\/span>DHL<\/span><\/div>\n
currency<\/span>USD<\/span><\/div>\n
lines<\/span>142<\/span><\/div>\n
status<\/span>CLEAN<\/span><\/div>\n <\/div>\n
Audit-Ready<\/div>\n <\/div>\n\n
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LAYER 03 \u2014 EXTRACTION<\/div>\n
Every data point. Line by line.<\/div>\n
Pulls charges, tracking numbers, service levels, weights, surcharges, dates, transportation providers codes, currency. Line-item level detail \u2014 not just headers.<\/div>\n <\/div>\n
tracking<\/span>1Z999AA10123456784<\/span><\/div>
weight_lbs<\/span>142.5<\/span><\/div>
service<\/span>NEXT_DAY_AIR<\/span><\/div>
fuel_surcharge<\/span>$ 18.42 USD<\/span><\/div>
lines_extracted<\/span>142 \/ 142<\/span><\/div><\/div>\n <\/div>\n\n
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