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Opening Keynote - Unveiling Odoo 17
Fabien PinckaersHotové
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Keynote - Vision & Strategy
Fabien PinckaersHotové
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Connecting to (basically) any Interface with low / no code
Bernhard schröderHotové
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Managing global rollouts succesfully - strategies for a multinational Odoo implementation
Damian BürginHotové
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PLM Beyond Manufacturing: Taking Price List Management to the Next Level with PLC
Riccardo FioreHotové
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Odoo EDI Shipment With 3PL
Yogendrasinh ChavadaHotové
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From Novice to TechLead: How braintec has implemented a Career Map for their employees and how it has benefited the entire company
Kim BuehlerHotové
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German Accounting
Manuel SauerHotové
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Grow your business tremendously with Odoo Affiliate Management | Pay-Per-Click (PPC) and Pay-Per-Sale (PPS)
Arun MitreHotové
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Streamlining Sales and Manufacturing with an Advanced Product Configurator
Arpit ShethHotové
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.