[{"data":1,"prerenderedAt":69},["ShallowReactive",2],{"ind-detail-logistics":3,"ind-work-logistics":47,"ill-industries\u002Flogistics":68},{"slug":4,"title":5,"icon":6,"summary":7,"challenges":8,"useCases":13,"relatedServices":29,"faq":34,"seo":44},"logistics","Logistics & Transportation","route","AIYatch builds AI for logistics, freight and delivery companies: ETA and delay prediction, route and load optimisation, shipping-document automation, and customer status assistants on chat and voice. Systems connect to your TMS, WMS and carrier APIs so dispatchers, customer service and finance teams work from the same real-time picture and spend less time on manual updates.",[9,10,11,12],"Customers ask “where is my shipment?” far more often than teams can answer.","Bills of lading, customs forms and invoices are processed manually and cause delays.","Delays are discovered late, so re-planning is reactive and expensive.","Route and load planning leaves capacity unused.",[14,17,20,23,26],{"title":15,"text":16},"ETA and delay prediction","Models over historical shipments, traffic, weather and carrier performance that predict arrival windows and alert on likely delays.",{"title":18,"text":19},"Route and load optimisation","Optimisation and ML models that plan routes, consolidate loads and assign vehicles against constraints such as time windows and capacity.",{"title":21,"text":22},"Shipping-document extraction","Document AI that reads bills of lading, packing lists, customs and carrier invoices, validates them and files data into your TMS or ERP.",{"title":24,"text":25},"Shipment-status assistants","Chat, WhatsApp and voice agents that answer tracking questions, reschedule deliveries and log claims, escalating exceptions to staff.",{"title":27,"text":28},"Freight audit and invoice reconciliation","AI agents that match carrier invoices to contracts and shipments and flag discrepancies for finance to review.",[30,31,32,33],"data-analytics-predictive-ai","ai-automation","voice-ai","ai-agents",[35,38,41],{"q":36,"a":37},"Can the AI assistant integrate with our tracking systems?","Yes. The assistant calls your TMS, WMS or carrier tracking APIs in real time so answers reflect the current status rather than a cached copy. Where APIs are missing we work from database access or scheduled exports, and always with least-privilege credentials.",{"q":39,"a":40},"How accurate is AI ETA prediction?","Accuracy depends on the richness of your historical data and external feeds. Typical projects aim to narrow arrival windows and catch a large share of delays earlier than the current process. We measure against your existing ETAs during discovery and report the improvement transparently.",{"q":42,"a":43},"Do you handle multilingual customer conversations?","Yes. LLM-based assistants handle dozens of languages by default, and voice agents can be configured with region-appropriate speech models. We test the languages that matter for your lanes and customers before launch, tune terminology such as service names and status codes, and make sure hand-off to a human agent carries the conversation in the original language.",{"title":45,"description":46},"AI for Logistics: ETA, Documents & Status Bots | AIYatch","AI for logistics and freight: ETA and delay prediction, route optimisation, shipping-document extraction, shipment-status assistants and freight audit automation.",[48],{"path":49,"title":50,"description":51,"industry":52,"services":53,"results":56,"cover":66,"coverAlt":67},"\u002Fwork\u002Finvoice-document-processing-pipeline","AI invoice and document-processing pipeline for a logistics operator","An automated pipeline that reads supplier invoices, delivery notes and customs documents, validates them against orders and posts to the ERP with human review only on exceptions.","Logistics",[31,54,55],"nlp","ai-integration",[57,60,63],{"value":58,"label":59},"~80%","of invoices posted with no manual touch",{"value":61,"label":62},"3 days → same day","typical processing time",{"value":64,"label":65},"\u003C1%","field-level error rate after validation","\u002Fcovers\u002Fwork\u002Finvoice-document-processing-pipeline.svg","Abstract navy cover with a rising cyan course line","\u003Csvg xmlns=\"http:\u002F\u002Fwww.w3.org\u002F2000\u002Fsvg\" viewBox=\"0 0 640 480\" role=\"img\" aria-hidden=\"true\">\u003Cg fill=\"none\" stroke=\"currentColor\" stroke-width=\"5\" stroke-linecap=\"round\" stroke-linejoin=\"round\">\u003Crect x=\"100\" y=\"200\" width=\"290\" height=\"150\" rx=\"12\"\u002F>\u003Cpath d=\"M390 230H470L530 300V350H390\"\u002F>\u003Cpath d=\"M400 246H462L490 296H400Z\" stroke-width=\"3.5\"\u002F>\u003Cline x1=\"245\" y1=\"200\" x2=\"245\" y2=\"350\" stroke-width=\"3.5\" stroke-opacity=\"0.45\"\u002F>\u003Ccircle cx=\"180\" cy=\"372\" r=\"22\"\u002F>\u003Ccircle cx=\"460\" cy=\"372\" r=\"22\"\u002F>\u003Cpath d=\"M120 170C200 100 300 160 380 110S480 80 528 96\" stroke-width=\"3.5\" stroke-dasharray=\"2 9\" stroke-opacity=\"0.7\"\u002F>\u003Ccircle cx=\"120\" cy=\"170\" r=\"7\" fill=\"var(--accent, #0E7490)\" stroke=\"none\"\u002F>\u003Cpath d=\"M548 128.8C537.2 110.8 530 103.6 530 94.6A18 18 0 0 1 566 94.6C566 103.6 558.8 110.8 548 128.8Z\"\u002F>\u003Ccircle cx=\"548\" cy=\"94.6\" r=\"4\" fill=\"var(--accent, #0E7490)\" stroke=\"none\"\u002F>\u003C\u002Fg>\u003C\u002Fsvg>",1792973682158]