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

Week one: we read every active integration end-to-end. Week two: we run a field-level diff between what the source system sends and what the destination system actually stores. Week three: we ship the integration fixes so the data flows through correctly the first time. Week four onward: reconciliation reports catch any new drift before it costs you.

  • 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 call

The 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.

Flowing

Every field reaches every system that needs it, with the right type

Aligned

Reports across systems agree because they pull from one source

Visible

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