Odoo Experience
Abgeschlossen
Audit-proof storage of documents in Odoo
11280 Ansichten •Powerful and Flexible Odoo File Data Importer
11341 Ansichten •Odoo Payroll Compliance: The Case of Switzerland
10297 Ansichten •Supporting Sustainable Energy Through Digitized, Efficient Application Processes
11307 Ansichten •Using Artificial Intelligence to Recommend Products, Upsell, and Increase Revenue in Odoo
11318 Ansichten •Create Scale Pricing Lists With Odoo
11613 Ansichten •Update to the ODBC Connector with Odoo
12699 Ansichten •Odoo and Scrum: a perfect match
12106 Ansichten •Odoo Extended LDAP Connection
12082 Ansichten •Running an Agile Project in Odoo
11986 Ansichten •Manage your employees' time more efficiently
11745 Ansichten •Create Scale Pricing Lists With Odoo
11613 Ansichten •Powerful and Flexible Odoo File Data Importer
11341 Ansichten •Using Artificial Intelligence to Recommend Products, Upsell, and Increase Revenue in Odoo
11318 Ansichten •Supporting Sustainable Energy Through Digitized, Efficient Application Processes
11307 Ansichten •Audit-proof storage of documents in Odoo
11280 Ansichten •The power of EDI based on GS1 XML 3.4
11194 Ansichten •UNECE Standards for Meat in Odoo
11185 Ansichten •Knowledge is power! Empower your employees with Odoo.
11162 Ansichten •How one of the biggest retailers in Switzerland handle all its online orders with Odoo
11122 Ansichten •Second Units of Measure
10985 Ansichten •Financial Plans: Budgets and Forecasts
10443 Ansichten •Odoo Payroll Compliance: The Case of Switzerland
10297 Ansichten •Efficient customer care with intelligent Helpdesk ticket assignation
9500 Ansichten •Odoo für Outlet Stores
7604 Ansichten •Internationale Rollouts mit Odoo
7185 Ansichten •Using Artificial Intelligence to Recommend Products, Upsell, and Increase Revenue in Odoo
In this talk, I present an artificial intelligence-powered product recommender app for Odoo 14 that learns how different products are combined together from past sales, automatically fills in the convenient fields Odoo already provides, and thus allows for a more profitable upselling out of the box.
Motivation: Most medium to large-size companies need to extract insights from the data acquired by the daily operations that keep piling up in the database as unrelated records. The ultimate purpose of this insight is to find patterns that help increase revenue. While large companies have departments dedicated to extracting this valuable information, this is not usually the case for medium to medium-large size companies. I target this talk at this audience so they can make use of an app we developed for Odoo 14 that leverages the building blocks of Odoo to provide product recommendation.
Content: In this presentation, I talk about what a product recommender is, why it's important for non-small companies, which are the features you have to have a look at if you have to choose a product recommender, and then I present our product recommender app for Odoo.
Kommentieren ist für diesen Kurs nicht aktiviert.