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Keynote - Vision & Strategy
Fabien PinckaersGereed
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Opening Keynote - Unveiling Odoo 17
Fabien PinckaersGereed
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Connecting to (basically) any Interface with low / no code
Bernhard schröderGereed
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OdooGPT: LLMs based on ChatGPT Trained specifically for Odoo Customers, Consultants, Developers and Partners
Sohel MerchantGereed
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How to boost your pickings with Odoo
Helmut StritzingerGereed
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Incorporating Labor Costs into Your Finished Goods with Odoo
Cecilie BarretoGereed
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How non-profit organizations can run & succeed using ERP Software
Peters DominiqueGereed
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Empower Your Sales Team: Mastering Commissions Automation
Jared KipeGereed
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Tackling eCommerce Challenges: Big Data and the Future of Chargeback Prevention
Kaylie KipeGereed
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Managing global rollouts succesfully - strategies for a multinational Odoo implementation
Damian BürginGereed
Giovanni is a Project Manager and Business Analyst working as a Project Management and Odoo Implementations since 2016. He is passionate about technological innovation and has a strong interest in the Digitization of Business Processes.
He is responsible for projects delivery at Rapsodoo, Odoo Gold Partner.
The Odoo Advanced Ticket Workflow Management Module revolutionizes ticket management within the Odoo ecosystem, ensuring a completely precise and controlled management experience! This module is built on the robust framework of State Machines, enabling users to create and manage highly complex workflows with agility, suitable for any type of company.
By adopting a triplet hierarchical structure, it's possible to classify tickets and activate specific workflows. Each workflow is comprised of a single starting phase, potential intermediate phases, and at least one concluding phase, thus establishing a clear and well-structured framework.
In this context, each phase within the workflow plays a pivotal role in operational management. Every phase defines and outlines the activities operators are required to perform, directs tickets to a designated Helpdesk Team, establishes the Stage of tickets, and can lead to different results. Furthermore, it is feasible to determine whether phase transitions should be executed manually by users or automatically through predefined and customizable logic, including the utilization of specific Python scripts for each phase.
Each result automatically dictates the next phase of the ticket, ensuring that each action taken has an immediate impact on the ticket's progression. This approach guarantees that user actions directly influence the ticket's advancement, thereby contributing to enhancing the efficiency, control, and traceability of the entire process.
Additionally, the module offers complete access to the history of each ticket, enabling meticulous analysis of the activities carried out. This facilitates precise performance evaluations and opens avenues for targeted enhancements.