Odoo Experience 2019
-
Improve Your Inventory Accuracy with a Cycle Count Program
Jordi Ballester Alomar完成
-
Comment l’UCLouvain a Implémenté Odoo pour la Gestion de ses Contacts
Bénédicte Bertrand完成
-
Module for Painting Widget
Pascal Vanderperre完成
-
Essatto for Odoo – Analyse the Past & Visualise the Future
Richard Jardine完成
-
Advanced Order Fulfilment and Planning
Jared Kipe完成
-
Earned Value Management Using Odoo
Adrià Gil完成
-
POS Integration with Glory Cash Recyclers and RFID Bracelets
Pascale Woodruff完成
-
Running an Agile Project in Odoo
J.A. Daniel Göppner完成
-
Odoo4Fashion: Grow Your Fashion Business
Bruno Conil完成
-
Geographic Data Portal: a Big-Data Portal Experience with Odoo
Fabrice Costa完成
Co-Founder and Managing Director of Ever Business Solutions. A computer and Communication Engineer with 12 years of business experience.
The crawler tool objective is to crawl specific web pages (social media, search engines, intranets and others) and detect keywords, text or images.
The keywords, text or images will be pushed into Odoo depending on their type and as described below:
Leads will be pushed into CRM
Complaints will be pushed into the Helpdesk
Faces info will be pushed into the Contacts
Plate numbers info will be pushed into the Fleet
Feedback and Competitors info will be pushed into the Marketing/CRM
And more...
The crawler will be using:
Multilingual Text Monitoring
Multilingual OCR in order to capture text within images including plate numbers
Face Recognition in order to capture people's faces
Advanced Analytics like Sentiment Analytics to differentiate positive from negative feedback
- Phonetic and Semantic Analytics in order to analyze the crawled data and recognize similarities (Ex: if you are crawling the internet for the CRM keyword, the crawler will recognize similar words and push them into Odoo, like: customer relationship, leads generation, opportunity management, customer 360 degree view…)