The Datasource described on this page is an illustrative example. The actual fields, structure, and naming will vary based on your brand’s specific data model and integration. Use this as a reference for the type of data needed, not as an exact specification.
Overview
The Store Datasource contains information about the brand’s physical retail locations: addresses, opening hours, available services, current events, and contact details. This powers drive-to-store personalisation by showing each customer their nearest or preferred store with contextual details.
Key Fields
| Field | Type | Description | Example values |
|---|
store_id | String | Unique store identifier | "STR-PARIS-MARAIS" |
name | String | Store display name | "Paris Marais" |
address | String | Full street address | "15 Rue des Francs-Bourgeois, 75004 Paris" |
city | String | City | "Paris" |
latitude | Float | GPS latitude | 48.8566 |
longitude | Float | GPS longitude | 2.3522 |
opening_hours | Object | Weekly schedule | {monday: "10:00-20:00", sunday: "closed"} |
services | Array | Available services | ["click_and_collect", "alteration", "personal_shopping"] |
current_events | Array | Active in-store events | ["VIP evening Dec 12", "New collection preview"] |
phone | String | Store phone number | "+33 1 42 78 12 34" |
Connected Use Cases
| Use Case | How Store is used |
|---|
| Drive to Store / Web / App | Nearest store info, hours, services |
| Enriched Product Recommendation | ”Available at your store” messaging |
Data Requirements
| Requirement | Details |
|---|
| Update frequency | Weekly (or on hours/events changes) |
| Minimum fields | store_id, name, address, latitude, longitude, opening_hours |
| Format | JSON via Datasources API |
| Volume | One record per store location |
Integration Notes
Store data is typically static with occasional updates for events or seasonal hours. GPS coordinates enable distance-based matching with the customer’s location from CRM 360.
