Data that flows correctly between every system
Product attributes, order metadata, and operational signals exist in your stack. They just do not reach the systems that need them. We map the flow, fix the integration code, and stop the manual re-entry.
The problem
The data exists. It is not reaching the right system.
DIMs you maintain in NetSuite never make it to ShipStation. Weights you update in your product master do not propagate. Custom fields die at the integration boundary. Operators retype the same data into the next system because the integration dropped it.
One recent audit: 89.9% of active SKUs had accurate dimensions in NetSuite. 0.2% of those dims reached ShipStation. The Celigo flow at the boundary had a complete items sub-mapping but no dimensions sub-mapping — a four-row mapping gap was breaking rate shopping on every multi-item domestic shipment.
Fields drop in transit
Dimensions live in NetSuite but never reach ShipStation. Weights you update in the product master do not propagate. Custom fields die at the Celigo or Cart Rover boundary.
Drift between systems
Inventory in NetSuite says one thing, ShipStation says another, the warehouse says a third. Same SKU, three numbers, no agreement on which is correct.
Manual re-entry fills the gaps
Operators type the same dims, weights, addresses, and tags into ShipStation, the OMS, and the spreadsheet. Errors compound at every touch.
Silent transformation errors
A custom field maps to the wrong target. A tag gets stripped. A tracking number propagates to all boxes instead of one. Nothing crashes; the data just lands wrong.
Automation fires on bad data
Carrier-selection rules use a default weight because the real one never arrived. VIP rules miss customers because the tag did not propagate. The rules are fine; the inputs are not.
Surprises land downstream
DIM-weight invoice surcharges. Address-correction fees. Lost-package liability when the carrier saw the wrong tracking. The cost shows up weeks after the data error.
Integration errors go unalerted
One recent audit: 33 open Celigo errors across 7 flows, no alerting wired up. Orders silently stuck in the pipeline; problems surface reactively when a customer calls, not when the integration fails.
The solution
Map the flow. Fix the integration. Stop the re-entry.
We trace every product attribute, order field, customer field, and tag from source to every downstream system. We name what drops, where, and why. Then we fix the Celigo flows, the Cart Rover scripts, the native connectors, and the custom code so the field reaches the right destination as the right type.
Field-by-field, system-by-system
- Field-level audit across every integration
- One owner per piece of data; others subscribe
- Celigo, Cart Rover, native connectors, custom code
- DIM, weight, and tag propagation at the API level
- Reconciliation reports that surface new drift
- Fixes ship to staging first; nothing crashes prod
Field-level audit
Every product attribute, order field, customer field, and tag traced from source to every downstream system. We name what drops, where, and why.
Integration code fixes
Celigo flows, custom Cart Rover scripts, native connectors, and bespoke ETL. We fix the mapping so the field reaches the right destination as the right type.
Source-of-truth alignment
One system owns each piece of data. The others subscribe. No more "which number is right" tickets at month-end close.
DIM and weight propagation
Dimensions in your product master reach ShipStation rate-shop and pack flows. Weight updates propagate within minutes, not weeks.
Tag and metadata flow
Customer tags, channel tags, VIP markers, and gift flags survive the integration boundary so downstream automation rules fire on real signals.
Reconciliation reports
Daily diff between what each system says and what the source-of-truth says. Drift surfaces in the report, not in a customer-service ticket.
Stop typing the same data into three systems
Schedule a callThe outcome
Operators stop typing the same data twice
Reports across systems agree. Automation rules fire on data that is actually correct. DIM-weight invoice surprises, address-correction fees, and oversells drop because the data the system acted on was right.
Every field reaches every system that needs it, with the right type
Reports across systems agree because they pull from one source
Drift surfaces in a daily reconciliation report, not in a CS ticket
Tired of operators retyping the same data?
We trace every field, fix the integration code, and ship a reconciliation report so new drift surfaces in your inbox, not at the carrier invoice.
Schedule a call