“DataBridge” can refer to a few different things depending on the context — it’s a common name used in tech for integration or data-transfer tools.
Since you’ve mentioned Dispatch Science and 2Ship in past conversations, here’s what it likely means in your context ?
In Dispatch Science
DataBridge is a middleware or synchronization tool that connects Dispatch Science with external systems (like ERPs, CRMs, or eCommerce platforms).
It’s used to import and export data such as:
Orders
Customers
Drivers
Routes
Status updates
Essentially, it “bridges” data between Dispatch Science and other applications — allowing for automation and reducing manual entry.
For example:
You can configure DataBridge to pull new orders from a customer’s API or FTP site and automatically create them in Dispatch Science.
It can also push updates (like delivery status or POD info) back to the external system.
Technically speaking
It typically:
Runs as a background service or scheduled process
Uses API calls, file-based transfers (CSV/XML), or webhooks
Has configurable triggers (“Run every 15 minutes”, “On file detected”, etc.)
Logs execution results (success, failure, error messages)
Would you like me to show a short example of how DataBridge might be configured for a workflow — like importing orders from an FTP file into Dispatch Science?
? Scenario
A customer exports a CSV file named orders.csv to an FTP folder every 15 minutes.
You want DataBridge to automatically:
Detect the file,
Read the order details,
Create the orders in Dispatch Science,
Move the processed file to an “archive” folder.
⚙️ DataBridge Configuration Example
1. Connection Setup
Source:
Type: FTP
Host:
ftp.customer.comUsername:
customer_userPassword:
••••••Folder:
/outgoing/orders/
Destination:
Type: API
Endpoint:
https://api.dispatchscience.com/ordersAuthentication: API Key (e.g.,
ds-api-key-123)
2. Trigger
Mode: Timer
Frequency: Every 15 minutes
Condition: New file detected matching
orders_*.csv
3. File Mapping
CSV columns → Dispatch Science fields
| CSV Header | Dispatch Science Field | Example Value |
|---|---|---|
| OrderNumber | order.externalId | 104512 |
| PickupName | pickup.contactName | “ABC Supplies” |
| PickupAddress | pickup.address.street | “123 Queen St W” |
| DeliveryName | delivery.contactName | “John Doe” |
| DeliveryAddress | delivery.address.street | “456 King St E” |
| Pieces | items.count | 3 |
| Weight | items.weight | 15 |
| ServiceLevel | serviceLevel.code | “BOXTRUCK” |
| Reference | reference | “PO-9283” |
4. Transformation Rules (optional)
If
ServiceLevel= blank → default to “STANDARD”Convert date/time from
MM/DD/YYYY→ ISO format (YYYY-MM-DD)
5. Post-Processing
On success → move file to
/archive/processed/On error → move file to
/archive/error/and send an email alert
6. Logs / Monitoring
Each run shows a log entry:
? Summary
So in essence:
DataBridge acts like a connector and scheduler
It automates repetitive data exchanges
It uses triggers, mapping, and rules to ensure data flows cleanly between systems
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