Cegid Retail
SourceUse Dataddo's Cegid Retail connector to explore any data available via the official API of Cegid Retail. Access hundreds of metrics and attributes, from basic to advanced. Build and blend custom datasets directly in Dataddo, then send them anywhere.
Explore Data You Can Extract from Cegid Retail
Data Category
- All Attributes (184)
- Addresses (14)
- Customer Reservation Line Items (15)
- Customer Reservations (21)
- Customers (56)
- Payments (9)
- Sale Document Line Items (21)
- Sale Document Omni Channels (21)
- Sale Documents (23)
- Store Availability (4)
Need fields you don't see?
Let us know and we'll add them to the connector. Just send a request here..
Available Attributes (184)
| Attribute |
|---|
id ID |
country_id Country ID |
country_id_type Country ID Type |
title_id sensitive Title ID |
city City |
contact_number Contact Number |
first_name sensitive First Name |
last_name sensitive Last Name |
line1 sensitive Address Line 1 |
line2 sensitive Address Line 2 |
line3 sensitive Address Line 3 |
phone_number sensitive Phone Number |
region sensitive Region |
zip_code Zip Code |
id ID |
customer_reservation_id ID |
discount_type_id Discount Type ID |
sales_person_id Sales Person ID |
serial_number_id sensitive Serial Number ID |
catalog_reference Catalog Reference |
complementary_description Complementary Description |
delivery_date Delivery Date |
external_reference sensitive External Reference |
initial_delivery_date Initial Delivery Date |
label Label |
net_unit_price Net Unit Price |
quantity Quantity |
taxes Taxes |
unit_price Unit Price |
id ID |
currency_id Currency ID |
customer_id sensitive Customer ID |
active Active |
comment sensitive Comment |
date Date |
deposit Deposit |
expiration_date Expiration Date |
external_reference External Reference |
external_reference_date External Reference Date |
followed_reference Followed Reference |
internal_reference Internal Reference |
lines_unmodifiable Lines Unmodifiable |
sales_person_id Sales Person ID |
store_id Store ID |
tax_excluded Tax Excluded |
user_defined_dates User Defined Dates |
user_defined_table_customers User Defined Table Customers |
user_defined_tables User Defined Tables |
user_fields User Fields |
warehouse_id Warehouse ID |
id ID |
address_id Address Data |
company_id_number sensitive Company ID Number |
company_title_id Company Title ID |
currency_id Currency ID |
activity_code Activity Code |
barcode sensitive Barcode |
birth_date_data sensitive Birth Date |
direct_mail Direct Mail |
fiscal_id sensitive Fiscal ID |
italian_fiscal_id sensitive Italian Fiscal ID |
language_id Language ID |
long_description Long Description |
nationality_id sensitive Nationality ID |
optin_alternative_email sensitive Opt-in Alternative Email |
optin_email sensitive Opt-in Email |
optin_home_phone sensitive Opt-in Home Phone |
optin_mobile sensitive Opt-in Mobile |
optin_office_phone sensitive Opt-in Office Phone |
optin_postal Opt-in Postal |
passport_number sensitive Passport Number |
sex sensitive Sex |
short_name Short Name |
user_fields User Fields |
vat_system sensitive VAT System |
valid_alternative_email Valid Alternative Email |
valid_email Valid Email |
valid_home_phone Valid Home Phone |
valid_mobile Valid Mobile |
valid_office_phone Valid Office Phone |
activity_sector_code Activity Sector Code |
alternate_first_name sensitive Alternate First Name |
alternate_last_name sensitive Alternate Last Name |
business_area_code Business Area Code |
cpf_cnpj_code sensitive CPF/CNPJ Code |
email_data sensitive Email Data |
first_name sensitive First Name |
is_company Is Company |
last_modification_date Last Modification Date |
last_name sensitive Last Name |
municipal_registration Municipal Registration |
origin_code Origin Code |
phone_data sensitive Phone Data |
price_list_code Price List Code |
regional_registration Regional Registration |
risk_level Risk Level |
sales_person2_id Salesperson 2 ID |
sales_person3_id Salesperson 3 ID |
sales_person_id Salesperson ID |
title_id Title ID |
user_defined_booleans User Defined Booleans |
user_defined_data User Defined Data |
user_defined_dates User Defined Dates |
user_defined_texts sensitive User Defined Texts |
user_defined_values User Defined Values |
usual_store_id Usual Store ID |
id ID |
amount Amount |
bon_id Bon ID |
credit_card sensitive Credit Card |
currency_id Currency ID |
due_date Due Date |
is_received_payment Is Received Payment |
method_id Method ID |
register_operation_for_received_payment sensitive Register Operation For Received Payment |
id ID |
bon_id Bon ID |
catalog_reference Catalog Reference |
comment sensitive Comment |
complementary_description Complementary Description |
delivery_date Delivery Date |
discount_type_id Discount Type ID |
external_reference sensitive External Reference |
initial_delivery_date Initial Delivery Date |
item_identifier Item Identifier |
label Label |
movement_reason_id Movement Reason ID |
net_unit_price Net Unit Price |
omni_channel Omni Channel |
origin Origin |
package_reference Package Reference |
quantity Quantity |
sales_person_id Sales Person ID |
serial_number_id Serial Number ID |
taxes Taxes |
unit_price Unit Price |
id ID |
billing_status Billing Status |
cancel_date Cancel Date |
cancel_reason_id Cancel Reason ID |
cancel_status Cancel Status |
comment sensitive Comment |
delivery_store_id Delivery Store ID |
delivery_type Delivery Type |
delivery_warehouse_id Delivery Warehouse ID |
follow_up_status Follow Up Status |
gift_message sensitive Gift Message |
gift_message_type Gift Message Type |
locking_date Locking Date |
original_document Original Document |
payment_method_id Payment Method ID |
payment_status Payment Status |
return_status Return Status |
return_type Return Type |
shipping_status Shipping Status |
tracking sensitive Tracking |
transporter Transporter |
id ID |
customer_id Customer ID |
currency_id Currency ID |
active Active |
comment sensitive Comment |
date Date |
deposit Deposit |
external_reference sensitive External Reference |
external_reference_date External Reference Date |
followed_reference Followed Reference |
internal_reference Internal Reference |
lines_unmodifiable Lines Unmodifiable |
omni_channel Omni Channel |
origin Origin |
sales_person_id Sales Person ID |
store_id Store ID |
tax_excluded Tax Excluded |
type Type |
user_defined_dates User Defined Dates |
user_defined_table_customers User Defined Table Customers |
user_defined_tables User Defined Tables |
user_fields User Fields |
warehouse_id Warehouse ID |
store_id Store ID |
store_name Store Name |
available_quantity Available Quantity |
available_skus_qty Available SKUs Quantity |
Pricing
See all Dataddo plans
Compare Dataddo's flow-based pricing tiers side by side and start your 14-day free trial.
View pricingWhy Dataddo?
One Ingestion Layer for SaaS, Databases, and Files
Most teams use multiple tools and “spaghetti code” for ingestion, depending on the type of sources and loading patterns. Dataddo brings this under one control plane and one predictable pricing structure. 400+ connectors included.
Built for Cloud and On-Premise Environments
Run Dataddo in both cloud and hybrid on-prem configurations. The control plane stays in the cloud; your data never leaves your perimeter. Supports segmented and private networks, and legacy systems including DB2, Informix, and Sybase.
Full API Control - No UI Required
Dataddo is built API-first. Use the UI when you want it; bypass it entirely when you don’t and orchestrate your pipelines programmatically.
Managed Ingestion Operations. We Own the Reliability.
Dataddo takes operational responsibility for your ingestion layer. We manage connector maintenance, handle API changes from source systems, monitor pipelines proactively, and execute backfills and recovery. Your engineering team doesn’t have to.
Full Visibility Into Every Data Flow
Dataddo gives you complete observability across your ingestion layer: pipeline logs, run histories, data lineage, and audit trails. Know what moved, when it moved, what changed, and why. Built for environments where explainability and accountability are not optional.
The Data Foundation Your AI Needs
Enterprise AI depends on a governed, secure data layer. Dataddo consolidates SaaS, database, and file data into a unified managed pipeline, delivering to vector databases, feature stores, and data lakes, with native sensitive data hashing.
See What Other Organizations Have Achieved with Dataddo
3.5
man-hours
per week saved
on data collection
80%
less
pipeline
maintenance
37.5%
reduction
of infrastructure bill
on average
Our Customers Love Us
Amalia Bornstein
Global Social Content and Marketing Data Analyst
Uber Eats
“The data team at Uber Eats appreciates Dataddo's user-friendly interface that is designed for operation by non-technical team members in an order to minimalize the need for excessive training to support efficient project delivery.”
Andrew Hart
Chief Operations Officer
Sat 7
“Working with Dataddo has greatly simplified our reporting and given us access to trend data and insights that we were previously unable to generate.”
Vahan Petrosayan
Director of IT & Infrastructure
Search Engine Journal
“With Dataddo, all of my questions get answered faster …[and it's] fun to play with data now.”
Michael Guntenaar
CTO
ID&T Group
“Dataddo opens up gates and takes away the hurdles of working with data.”
Laurent Partouche
CPO
FoodChéri & Seazon
“We chose Dataddo for its user-friendliness, automatic transformations, clear pricing policy, and the quality of the human relationship that was established from our first exchanges.”
Natheer Maloon
Technology Solutions Manager
Boldr
“Dataddo support proved immensely valuable throughout the implementation phase. 9.5 out of 10.”
Zdeněk Hejnak
Data Development Team Leader
Livesport
“We save about 70% of the time it would otherwise take to ingest all our data, or 3-4 full-time equivalents, and spend this much more time on data analytics and activation. We only have one full-time data engineer, who does more than just collect data, while our BI team consists of 11 members.”
Greg Senior
Business Operations Manager
Farm Focus
“Appreciate all the help and support for us. A refreshing level of service from a tech company! Thank you!”