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Opening Keynote - Unveiling Odoo 17
Fabien PinckaersHoàn tất
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Keynote - Vision & Strategy
Fabien PinckaersHoàn tất
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Connecting to (basically) any Interface with low / no code
Bernhard schröderHoàn tất
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Sales Order Approvals
Stephan KellerHoàn tất
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Odoo for Hypermarkets: Driving Growth and Profitability
Chintan ShahHoàn tất
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Managing Manufacturing Work-in-Progress (WIP) and Variance: Insights from Odoo Expertise
Jay VoraHoàn tất
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Streamlining Sales and Manufacturing with an Advanced Product Configurator
Arpit ShethHoàn tất
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How to create an accounting localization package
Jakub SmolkaHoàn tất
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Tackling eCommerce Challenges: Big Data and the Future of Chargeback Prevention
Kaylie KipeHoàn tất
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Odoo Enterprise for Nonprofits and NGOs
Wolfgang HallHoàn tất
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.