[{"data":1,"prerenderedAt":235},["ShallowReactive",2],{"uc-hub-industry-logistics-and-transportation":3},{"type":4,"typeLabel":5,"term":6,"includeUnpublished":10,"indexable":11,"stats":12,"useCases":21,"benchmarks":170,"topIndustries":171,"topFunctions":172,"topPatterns":187,"stageMix":204,"regionMix":216,"organizations":224,"other":225},"industry","Industry",{"id":7,"label":8,"description":9},"logistics-and-transportation","Logistics and transportation","Carriers, parcel companies, freight forwarders and public transport: tracking, customs, scheduling and customer service.",false,true,{"useCases":13,"publicDeployments":14,"blitsAiDeployments":15,"organizations":14,"countries":16,"outcomeDisclosureRate":17,"gradeMix":18},7,16,1,5,44,{"A":19,"B":20,"C":16,"D":19},0,11,[22,55,80,95,123,142,157],{"slug":23,"title":24,"shortTitle":25,"definition":26,"status":27,"industries":28,"functions":29,"patterns":31,"audience":36,"autonomy":37,"adoptionStage":38,"segment":39,"evidenceCount":40,"publicEvidenceCount":40,"organizations":41,"bestGrade":45,"headline":46,"lastVerified":54,"indexable":11},"freight-dispatch-and-load-matching-agent","AI agent for freight dispatch and load matching","Freight dispatch and load matching","An AI agent that does the coordination work behind moving a truckload: reading an emailed quote request and replying with a price, ranking which loads to show which carriers, matching pickup and delivery details to an open dock appointment slot, and chasing the exceptions, so a broker's or carrier's own staff plan lanes and handle disputes instead of typing quotes and making appointment calls.","published",[7],[30],"operations",[32,33,34,35],"agentic-workflow","recommendation-and-personalization","document-processing","prediction-and-scoring","employee-facing","supervised-agent","early-adopters","freight-brokerage",3,[42,43,44],"C.H. Robinson","J.B. Hunt Transport Services","Uber Freight","B",{"kpi":47,"label":48,"unit":49,"n":15,"nUpTo":19,"kind":50,"value":51,"qualifier":52,"claimant":53,"organization":44,"vendorReported":10},"conversion-rate-uplift","Conversion uplift","percent","reported",12,"exact","organization","2026-09-28",{"slug":56,"title":57,"shortTitle":58,"definition":59,"status":27,"industries":60,"functions":61,"patterns":63,"audience":67,"autonomy":37,"adoptionStage":38,"evidenceCount":68,"publicEvidenceCount":16,"organizations":69,"bestGrade":45,"headline":75,"lastVerified":79,"indexable":11},"parcel-tracking-and-delivery-exception-agent","AI agent for parcel tracking and delivery exceptions","Parcel tracking and delivery exceptions","An AI agent that answers \"where is my parcel\" and resolves delivery exceptions for parcel carriers and postal operators, such as missed deliveries, redelivery or a change of address or pickup point, delays, customs holds and lost or damaged parcel claims, on chat, messaging and phone, and hands disputes and claims above set limits to a human with the tracking history attached.",[7],[62,30],"customer-service",[64,65,32,66],"conversational-agent","voice-agent","classification-and-routing","customer-facing",6,[70,71,72,73,74],"Chronopost","DPD Deutschland","DPD UK","Evri","PostNL",{"kpi":76,"label":77,"unit":49,"n":15,"nUpTo":19,"kind":50,"value":78,"qualifier":52,"claimant":53,"organization":73,"vendorReported":10},"contact-deflection","Contact deflection",50,"2026-09-27",{"slug":81,"title":82,"shortTitle":83,"definition":84,"status":27,"industries":85,"functions":86,"patterns":87,"audience":67,"autonomy":37,"adoptionStage":88,"evidenceCount":89,"publicEvidenceCount":89,"organizations":90,"bestGrade":93,"headline":94,"lastVerified":54,"indexable":11},"public-transit-passenger-information-agent","AI agent for public transit passenger information and disruption reporting","Transit passenger information agent","An AI agent on a public transport operator's website, app or messaging channel that answers riders' real time questions (\"when is my bus coming\", \"why is my train delayed\") from live service data, takes a structured report when something is wrong on board or at a station, and flags urgent or safety related reports for fast human follow up, in the rider's own language.",[7],[62,30],[64,66],"emerging",2,[91,92],"Chicago Transit Authority","NJ Transit","C",null,{"slug":96,"title":97,"shortTitle":98,"definition":99,"status":27,"industries":100,"functions":105,"patterns":109,"audience":36,"autonomy":110,"adoptionStage":38,"segment":111,"evidenceCount":16,"publicEvidenceCount":16,"organizations":112,"bestGrade":45,"headline":118,"lastVerified":79,"indexable":11},"treasury-cash-flow-forecasting","AI cash flow forecasting for corporate treasury","Treasury cash forecasting","Machine learning and conversational analytics, offered by some banks inside their cash management platforms, that categorise a company's cash flows, forecast positions across accounts and currencies, and answer treasurers' questions in plain language, so the treasury team decides on funding and idle balances with better information and less spreadsheet work.",[101,102,7,103,104],"banking","cross-industry","retail-and-ecommerce","manufacturing",[106,107,108],"treasury","finance-and-accounting","analytics-and-reporting",[35,66,64,32],"assist","specialized-businesses",[113,114,115,116,117],"Amtrak","Bank of America","Domino's Pizza","JPMorgan Chase","Prysmian",{"kpi":119,"label":120,"unit":49,"n":89,"nUpTo":15,"kind":50,"value":121,"qualifier":122,"claimant":53,"organization":116,"vendorReported":10},"productivity-gain","Productivity gain",90,"approximately",{"slug":124,"title":125,"shortTitle":126,"definition":127,"status":27,"industries":128,"functions":130,"patterns":131,"audience":133,"autonomy":37,"adoptionStage":38,"segment":133,"evidenceCount":89,"publicEvidenceCount":89,"organizations":134,"bestGrade":93,"headline":137,"lastVerified":54,"indexable":11},"cash-application-and-remittance-matching","AI for cash application and remittance matching","Cash application and remittance matching","AI that reads remittance advices in many formats, matches incoming customer payments to open receivable invoices, proposes deduction and short pay reason codes from prior resolutions, and routes only the genuine exceptions to a cash application analyst, so the accounts receivable sub ledger clears itself for the clean majority of payments.",[102,104,103,129,7],"healthcare",[107],[34,32,132,66],"anomaly-detection","back-office",[135,136],"Keurig Dr Pepper","ResMed",{"kpi":138,"label":139,"unit":49,"n":89,"nUpTo":19,"kind":50,"value":140,"qualifier":52,"claimant":141,"organization":135,"vendorReported":11},"automation-rate","Automation rate",98,"vendor",{"slug":143,"title":144,"shortTitle":145,"definition":146,"status":27,"industries":147,"functions":148,"patterns":150,"audience":133,"autonomy":37,"adoptionStage":38,"evidenceCount":40,"publicEvidenceCount":40,"organizations":152,"bestGrade":45,"headline":156,"lastVerified":79,"indexable":11},"customs-classification-and-declaration","AI for customs classification and declaration preparation","Customs classification and declarations","AI that reads what is being shipped (the commercial invoice, the product data and sometimes a photo), proposes the tariff classification code with its reasoning and a confidence score, drafts the customs declaration with value, origin and parties, and sends only uncertain or high risk entries to a licensed customs specialist before filing.",[7,103,102],[30,149],"regulatory-compliance",[66,34,32,151],"computer-vision",[153,154,155],"DHL Express","United Parcel Service","ZLS Zoll und Logistikservice GmbH",{"kpi":138,"label":139,"unit":49,"n":15,"nUpTo":19,"kind":50,"value":121,"qualifier":52,"claimant":53,"organization":154,"vendorReported":10},{"slug":158,"title":159,"shortTitle":160,"definition":161,"status":27,"industries":162,"functions":163,"patterns":165,"audience":36,"autonomy":110,"adoptionStage":38,"segment":166,"evidenceCount":89,"publicEvidenceCount":89,"organizations":167,"bestGrade":45,"headline":94,"lastVerified":54,"indexable":11},"freight-rail-rolling-stock-predictive-maintenance","AI predictive maintenance for freight rail rolling stock","Rail rolling stock predictive maintenance","Machine vision and machine learning that inspect freight railcar wheels, bearings and other running gear as trains pass wayside sensors and camera portals at track speed, learn what a healthy wheel or a healthy reading looks like, and flag the ones that need attention before a crack, an overheating bearing or a worn wheel causes a service failure or a derailment.",[7],[30,164],"field-service",[151,132,35],"mechanical-and-safety",[168,169],"BNSF Railway","Norfolk Southern",[],[],[173,175,177,179,181,183,185],{"id":30,"label":174,"count":16},"Operations",{"id":62,"label":176,"count":89},"Customer service",{"id":107,"label":178,"count":89},"Finance and accounting",{"id":108,"label":180,"count":15},"Analytics and reporting",{"id":164,"label":182,"count":15},"Field service",{"id":149,"label":184,"count":15},"Regulatory compliance",{"id":106,"label":186,"count":15},"Treasury",[188,190,192,194,196,198,200,202],{"id":32,"label":189,"count":16},"Agentic workflow",{"id":66,"label":191,"count":16},"Classification and routing",{"id":64,"label":193,"count":40},"Conversational agent",{"id":34,"label":195,"count":40},"Document processing",{"id":35,"label":197,"count":40},"Prediction and scoring",{"id":132,"label":199,"count":89},"Anomaly detection",{"id":151,"label":201,"count":89},"Computer vision",{"id":33,"label":203,"count":15},"Recommendation and personalization",[205,207,209,212,214],{"stage":206,"count":19},"announced",{"stage":208,"count":89},"pilot",{"stage":210,"count":211},"production",10,{"stage":213,"count":40},"scaled",{"stage":215,"count":15},"paused",[217,220,222],{"region":218,"count":219},"north-america",9,{"region":221,"count":68},"europe",{"region":223,"count":15},"global",[113,168,42,91,70,153,71,72,73,43,92,169,74,44,154,155],{"records":68,"organizations":68,"byIndustry":226},[227,229,231,233],{"id":101,"label":228,"count":89,"hub":11},"Banking",{"id":104,"label":230,"count":89,"hub":11},"Manufacturing",{"id":129,"label":232,"count":15,"hub":11},"Healthcare",{"id":103,"label":234,"count":15,"hub":11},"Retail and ecommerce",1790598311142]