[{"data":1,"prerenderedAt":360},["ShallowReactive",2],{"navbar-en":3,"footer-en":31,"company-en":80,"service-detail-en-ticket-system-statistics":170,"service-detail-products-en":303},{"id":4,"extension":5,"items":6,"meta":28,"stem":29,"__hash__":30},"navbar_en/en/_data/navbar.yml","yml",[7,10,13,16,19,22,25],{"label":8,"to":9},"Home","/",{"label":11,"to":12},"OTOBO","/otobo",{"label":14,"to":15},"Znuny","/znuny",{"label":17,"to":18},"Services","/services",{"label":20,"to":21},"Blog","/blogs",{"label":23,"to":24},"Booking","/booking",{"label":26,"to":27},"Contact","/contact",{},"en/_data/navbar","xqkib9bDeJPYJsC9jIxXQqj56E5RaVZ-KlqlwfofCgI",{"id":32,"columns":33,"extension":5,"meta":77,"stem":78,"__hash__":79},"footer_en/en/_data/footer.yml",[34,47,64],{"title":35,"links":36},"Company",[37,38,41,44],{"label":26,"to":27},{"label":39,"to":40},"Book appointment","https://calendar.app.google/fXPHuhqQvx9Gf4LT9",{"label":42,"to":43},"Impressum","/contact/impressum",{"label":45,"to":46},"Data Privacy","/contact/dataprivacy",{"title":17,"links":48},[49,51,53,56,59,62],{"label":50,"to":12},"OTOBO services",{"label":52,"to":15},"Znuny services",{"label":54,"to":55},"AI Services","/services#ai-services",{"label":57,"to":58},"Support & Hosting","/service-groups/support",{"label":60,"to":61},"Engineering Days","/service-groups/flexible",{"label":63,"to":18},"All Services",{"title":65,"links":66},"Resources",[67,68,71,74],{"label":20,"to":21},{"label":69,"to":70},"OTOBO Docs","https://otobo-docs.softoft.de",{"label":72,"to":73},"Znuny Docs","https://znuny-docs.softoft.de/en/",{"label":75,"to":76},"OpenITSMHub","https://openitsmhub.com",{},"en/_data/footer","zah6y-SiK9sgHUHLooNDWRnD1y9bZIubOhUnmRVp2Ns",{"id":81,"contact":82,"descriptor":90,"extension":5,"fullName":91,"meta":92,"metrics":93,"name":103,"partners":104,"qualification":109,"socialMedia":117,"stem":134,"tagline":135,"team":136,"testimonials":146,"whySoftoft":156,"__hash__":169},"company_en/en/_data/company.yml",{"email":83,"appointmentUrl":40,"googleReviewsUrl":84,"address":85},"info@softoft.de","https://www.google.com/maps/place/SoftOft/@50.0040865,8.2451374,17z/data=!3m1!4b1!4m6!3m5!1s0x47bd97c3c5e853d3:0x63a648317d57a53d!8m2!3d50.0040865!4d8.2451374!16s%2Fg%2F11rg8q5d69",{"street":86,"city":87,"zip":88,"country":89},"Am Judensand 7","Mainz","55122","Germany","Ticket System & AI Automation","Softoft Tobias Bück Einzelunternehmen",{},[94,97,100],{"value":95,"label":96},"5+","Years of ticket-system experience",{"value":98,"label":99},"5.0 ★","Rating on Google",{"value":101,"label":102},"100%","On-premise & privacy-first","Tobias Bück",[105],{"name":106,"description":107,"url":108},"Open Ticket AI","AI-powered ticket classification and routing for on-prem OTOBO/Znuny via REST APIs and Python SDKs","https://openticketai.com",{"heading":110,"intro":111,"bullets":112},"Who is this for?","Best fit for teams with clear ticket-system goals:",[113,114,115,116],"On-premise ticket systems","OTOBO or Znuny teams","REST APIs & Python SDK integrations",">500 tickets per month or AI automation plans",[118,122,126,130],{"platform":119,"url":120,"icon":121},"LinkedIn","https://www.linkedin.com/company/softoft-it-services/","fa-brands:linkedin",{"platform":123,"url":124,"icon":125},"GitHub","https://github.com/Softoft","fa-brands:github",{"platform":127,"url":128,"icon":129},"Kaggle","https://www.kaggle.com/tobiasbueck","simple-icons:kaggle",{"platform":131,"url":132,"icon":133},"Medium","https://medium.com/@softoft","fa-brands:medium","en/_data/company","OTOBO & Znuny services",[137,141],{"name":103,"role":138,"image":139,"featured":140},"Founder — OTOBO, Znuny & AI automation","/images/tobias-bueck.jpg",true,{"name":142,"role":143,"image":144,"featured":145},"Constanze Krishnaratne","Client communication, calls & video meetings · CEO Open Ticket AI","/images/constanze_krishnaratne_blue.png",false,[147,152],{"text":148,"name":149,"role":150,"company":151},"Tobi did some fine-tuning on our OTOBO ticket system. It was quick and uncomplicated. He knows what he is doing and implements it with creative solutions. Would do it again any time. Thank you!","Dennis Lohmann","Google review","",{"text":153,"name":154,"role":150,"company":155},"Softoft helped us (Vianova Service GmbH) set up the OTOBO ticket system. Everything worked out well.","Reinhard Sczech","Vianova Service GmbH",[157,160,163,166],{"icon":158,"text":159},"heroicons:star-20-solid","Less manual triage — your team replies faster",{"icon":161,"text":162},"heroicons:rocket-launch-20-solid","Live in weeks, not months",{"icon":164,"text":165},"heroicons:shield-check-20-solid","Your data never leaves your servers",{"icon":167,"text":168},"heroicons:user-20-solid","A direct line to the expert — no middlemen","tLYKnwE8UYo_gAWnXX3XaXl9Mju1RmlaWVbzP57w_1s",{"id":171,"title":172,"cta":173,"deliverables":176,"editions":182,"excluded":211,"extension":216,"faq":217,"included":233,"meta":239,"oneLiner":240,"order":241,"prerequisites":242,"price":247,"pricingSummary":248,"processSteps":249,"relatedProducts":270,"serviceGroup":274,"slug":275,"stem":276,"systems":277,"tags":280,"timeline":287,"variants":288,"whoFor":297,"__hash__":302},"services_en/en/_data/services/ticket-systems_ticket-system-statistics.yaml","Ticket System Statistics",{"primary":174,"secondary":175},"Request statistics setup","Book 15-min call",[177,178,179,180,181],"Configured reports and a dashboard your team can open without SQL","Timesheet recording on tickets, with exports by agent, queue, customer, or project","A short statistics pack (volume, SLA, workload, and time spent) tailored to your questions","AI-written commentary on trends, outliers, and what changed since the last period (AI editions)","Handover call and a one-page guide for running and refreshing the reports",[183,190,197,204],{"edition":184,"price":185,"scope":186},"Reporting","1 490 €",[187,188,189],"Ticket volume, SLA, and queue or service reports","Dashboard plus scheduled export","Handover and operating note",{"edition":191,"price":192,"scope":193},"Timesheets","2 490 €",[194,195,196],"Everything in Reporting","Time recording on tickets","Timesheet exports by agent, queue, customer, or project",{"edition":198,"price":199,"scope":200},"Statistics & AI","3 900 €",[201,202,203],"Everything in Timesheets","AI-written statistics briefing (trends and outliers)","Review that the narrative matches the figures",{"edition":205,"price":206,"scope":207},"AI Insights","390 €/month",[208,209,210],"Requires a setup edition first","Monthly AI statistics briefing","Small report and timesheet adjustments",[212,213,214,215],"Full BI warehouse, Power BI data model, or custom data lake (scoped separately)","Payroll, invoicing, or legal time-tracking compliance review","Ongoing report changes after handover, unless you book the AI Insights retainer or an Engineering Day","Historical data cleanup or ticket migration","yaml",[218,221,224,227,230],{"q":219,"a":220},"What is included in Reporting versus Timesheets?","Reporting covers ticket volume, SLA, and queue or service breakdowns with a dashboard and export. Timesheets adds recording of time on tickets and reports by agent, customer, queue, or project. Higher editions include the lower ones.",{"q":222,"a":223},"How does the AI create statistics?","The figures still come from your ticket system. The AI writes a short briefing on top of those numbers: trends, outliers, and what deserves attention. We check the text against the source figures before handover.",{"q":225,"a":226},"Can agents record time without a separate timesheet tool?","Yes. We set up recording inside OTOBO or Znuny so time stays on the ticket, then reports and exports turn that into timesheets.",{"q":228,"a":229},"Is there a monthly option?","Yes. AI Insights is 390 € per month after the setup edition. It refreshes the statistics briefing and covers small report adjustments. Larger new reports are quoted separately.",{"q":231,"a":232},"Do you have questions about ticket statistics or timesheets?","Feel free to contact us anytime by email at info@softoft.de or book a short intro call.",[234,235,236,237,238],"Standard ticket statistics: volume, first response, solution time, queue and service breakdown","Scheduled report or export your team can send or archive","Timesheet setup and sample reports when you choose a Timesheets edition or higher","AI summary of the statistics (what moved, what looks unusual, suggested focus) on AI editions","Validation of figures against a sample period before handover",{},"Reporting, timesheet recording, and AI-written statistics for OTOBO and Znuny",65,[243,244,245,246],"A running OTOBO or Znuny instance with admin access","Agreement on which queues, services, and time periods the reports should cover","For timesheets: a decision on how agents record time (dynamic field, time units, or activity log)","Sample tickets or a staging copy so we can validate numbers before go-live","from 1 490 €","Reporting from 1 490 €, timesheets from 2 490 €, AI statistics from 3 900 €. Optional monthly AI briefing from 390 €/month.",[250,255,260,265],{"title":251,"bullets":252},"Scope",[253,254],"Agree the questions the statistics must answer (SLA, workload, time, customers)","Choose reporting only, timesheets, or AI commentary",{"title":256,"bullets":257},"Setup",[258,259],"Configure stats, dashboards, and time recording on staging","Map queues, services, and dynamic fields into the report model",{"title":261,"bullets":262},"AI layer",[263,264],"On AI editions, generate a readable statistics briefing from the same numbers","Check that the narrative matches the underlying figures",{"title":266,"bullets":267},"Handover",[268,269],"Walk through how to refresh reports and export timesheets","Leave a short operating note and optional monthly briefing",[271],{"slug":272,"relationshipDescription":273},"openticketai","Open Ticket AI can feed classified tickets into the same reporting model, so statistics reflect queues, types, and priorities the model already set.","ticket-systems","ticket-system-statistics","en/_data/services/ticket-systems_ticket-system-statistics",[278,279],"otobo","znuny",[281,282,283,284,285,286],"reporting","statistics","timesheets","time-tracking","ai","dashboards","1–3 weeks",{"otobo":289,"znuny":293},{"label":11,"notes":290},[291,292],"Uses OTOBO statistics, dynamic fields, and reporting modules","Time recording fits OTOBO ticket time units and custom fields",{"label":14,"notes":294},[295,296],"Uses Znuny stats and reporting configuration","Timesheets built on ticket time accounting and dynamic fields",[298,299,300,301],"You need reliable ticket reports for management, customers, or operations","You want agents to record time on tickets and export timesheets","You want AI to turn raw ticket data into readable statistics and trends","You run OTOBO or Znuny and the built-in stats are not enough for your reporting rhythm","B0hS5CCB3EDfYbSMsb0CngGTQiSv9KFVTFqzyS7m4g0",[304],{"id":305,"extension":5,"meta":306,"products":307,"stem":358,"__hash__":359},"products_en/en/_data/products.yml",{},[308],{"id":309,"name":106,"tagline":310,"description":311,"url":108,"features":312,"benefits":337,"targetAudience":343,"integrations":347},"open-ticket-ai","On Premise Ticket AI","Open Ticket AI revolutionizes ticket management by leveraging advanced AI to automatically classify and route support tickets. \nDesigned specifically for Open Source Ticketsystems, it integrates seamlessly to enhance efficiency, reduce response times, \nand ensure tickets reach the right agents faster.\n",[313,317,321,325,329,333],{"title":314,"description":315,"icon":316},"AI-Powered Classification","Uses machine learning to accurately categorize tickets based on content, priority, and context.","fa-solid:brain",{"title":318,"description":319,"icon":320},"REST API & Python SDK","Native OTOBO and Znuny integration via REST APIs and Python SDKs — minimal configuration, full on-prem control.","fa-solid:plug",{"title":322,"description":323,"icon":324},"Automated Routing","Routes tickets to appropriate teams or agents based on predefined rules and AI insights.","fa-solid:route",{"title":326,"description":327,"icon":328},"Real-time Processing","Processes tickets in real-time for immediate action and improved SLA compliance.","fa-solid:bolt",{"title":330,"description":331,"icon":332},"Customizable Models","Train and customize AI models to fit your specific ticket taxonomy and workflows.","fa-solid:cogs",{"title":334,"description":335,"icon":336},"Analytics Dashboard","Provides insights into ticket trends, performance metrics, and system efficiency.","fa-solid:chart-bar",[338,339,340,341,342],"Reduce manual triage time by up to 70%","Improve first-contact resolution rates","Enhance customer satisfaction with faster responses","Scale support operations without proportional headcount increases","Maintain consistent ticket handling across teams",[344,345,346],"IT service management teams using OTOBO or Znuny","Companies with high ticket volumes seeking automation","Organizations looking to improve support efficiency",[348,350,352,355],{"name":11,"description":349},"Full integration with OTOBO ticket system via APIs and webhooks.",{"name":14,"description":351},"Seamless connection to Znuny for automated ticket handling.",{"name":353,"description":354},"Zammad","Integration into Zammad Ticketsystem",{"name":356,"description":357},"Custom Systems","API-based integration with other ticket systems upon request.","en/_data/products","WeBc9IShh32d3IqibMD1o8r0RSEF75lD5oURvDPeaBE",1792159105898]