Orderwise and InRiver
Integration Agency & Consultants
Product data inconsistency usually becomes a commercial bottleneck when the volume of SKUs and orders exceeds your team's ability to correct them manually. When warehouse teams are forced to bridge the gap between enriched commercial content in InRiver and the operational records in Orderwise, it creates workflow fracture and slows down fulfilment. We focus on connecting these systems so that rich product data is consistently available for sales and operations, removing the manual reconciliation debt that often builds up at scale.
Auditing product data and system architecture
We connect your Orderwise and InRiver integration quickly, ensuring your ERP and PIM systems work together effectively. Our consulting services are invaluable, with our system audit services providing a thorough review of your ERP and PIM setup, including Orderwise and InRiver. This enables our consultants and your team to identify issues and take decisive action, helping your technology ecosystem run efficiently. As a result, you can deliver a consistently excellent experience to your customers.
Solution Design
The design for Orderwise and InRiver integration prioritises product data integrity to support accurate operational execution. We establish InRiver as the master for commercial attributes and media, while Orderwise remains the source of truth for stock levels and cost prices. A key decision involves mapping InRiver entities to Orderwise inventory records, typically running on a defined schedule rather than real-time. We acknowledge the trade-off: batching ensures system stability and cleaner financial reconciliation but means a slight delay for newly enriched content to reach the warehouse. This ensures finance can close periods against stable records while ecommerce teams manage high-quality product stories. The operating model relies on this separation, allowing ops to focus on picking and packing without being blocked by missing commercial descriptions.
Technical mapping of attributes and SKUs
InRiver serves as the product master, synchronising enriched attributes like descriptions, dimensions, and categories to Orderwise on a defined schedule. This flow ensures that when a new SKU is created, it enters the ERP with the operational data required for immediate fulfilment. To maintain stability, the integration commonly manages attribute updates in a way that avoids database lock contention or API timeouts during peak periods. Monitoring is embedded at the connection layer to catch validation failures and data format issues before they cascade into the warehouse scheduler or stall a sales order at the point of creation.
Connecting systems via secure orchestration layers
Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations enables secure, efficient integration between Orderwise (ERP) and InRiver (PIM). IPaaS simplifies connecting Orderwise ERP and InRiver PIM, automating data flows and reducing manual effort. This approach ensures data integrity, supports scalability, and maintains compliance, making integrations more reliable and secure for businesses seeking robust ERP and PIM connectivity.
Identifying data drift and sync failures
Dashboards alone do not solve data drift; they only show that a sync happened, not that the data is accurate. Our approach surfaces hidden issues, such as missing attributes in InRiver that would cause a product to be rejected by Orderwise. By monitoring the consistency between systems, we identify where enrichment has stalled or where a change in product data has broken the link to the ERP. This visibility allows teams to spot data gaps early, preventing the shipping errors and operational delays that occurs when the warehouse works from incomplete product records.
Handing over the new operating model
Handover ensures ecommerce, operations, and finance teams own their respective data domains. We define how product enrichment flows from InRiver into Orderwise inventory records so each team understands the boundary between commercial content and operational specs. Training covers the new operating model, teaching teams to monitor for common exceptions like missing attributes or mapping errors. We provide operational documentation detailing daily checks for data consistency and processes for managing new product launches. These are practical guides for the people running the business rather than technical references for IT. This approach ensures the team can maintain data integrity and identify gaps in the product narrative without requiring external support for routine data management.
Maintaining record alignment after go live
Support focuses on maintaining data alignment as your catalogue and sales channels scale. We monitor the synchronisation between InRiver and Orderwise, catching rejected records and attribute mapping errors before they impact warehouse operations or product visibility. When product structures change or new attributes are required, we ensure the integration logic is updated to post accurate data to the ERP. This proactive monitoring identifies data gaps and sync failures, ensuring that your product records remain reliable. By managing these technical exceptions, we reduce the need for manual data fixes and prevent the operational bottlenecks that commonly occur during peak trading when data inaccuracy causes the most damage.
Common failures
Conflicting product master data
Operational impact: When operators edit core product data in both systems, data integrity is compromised. If InRiver holds enriched marketing copy but an operator changes a key attribute like a barcode or supplier in Orderwise, the systems diverge. This creates inconsistent data on Sales Orders and purchase orders, leading to reconciliation work for finance and merchandising teams and potential errors in fulfilment.
Prevention / Action: Establish and enforce which system owns each data attribute. Typically, Orderwise should own core logistical and financial data, which becomes read-only in InRiver. The integration should be designed to respect this hierarchy, potentially rejecting updates to protected fields to maintain a single source of truth. Regular data audits should be scheduled to monitor for and correct any deviations.
New products blocked from sale
Operational impact: A product is marked complete in InRiver but fails to appear in Orderwise because a business-critical field is missing, such as a commodity code or a default warehouse assignment. This blocks the SKU from being included in a sales channel catalogue or added to a Sales Order. The merchandising team's launch is delayed, and ops teams must manually investigate and correct the missing data in the source system.
Prevention / Action: Define a 'minimum information for trade' data standard agreed by both merchandising and operations. This standard should be enforced within InRiver using completeness rules before a product can be synchronised. The integration itself should validate incoming data against mandatory Orderwise fields and move any failures to an exception queue for review, preventing a silent failure.
Inventory and pricing latency
Operational impact: Orderwise is the source of truth for stock levels and pricing, but if synchronisation to InRiver is slow, the risk of overselling or incorrect pricing is high. Every sale on an incorrect price point erodes margin and creates work for the CX team. Every oversell requires a customer contact, a refund, and potentially a negative review, while complicating reconciliation for the finance team.
Prevention / Action: Decouple inventory and price updates from general product enrichment data. These business-critical updates should run on a near real-time or very frequent schedule, separate from the batch updates for marketing copy or images. Design the integration to handle high-frequency, low-latency updates for stock levels and price changes to ensure sales channels have the most accurate data available from Orderwise.
Unstable product identifiers
Operational impact: An operator updates a SKU code directly in Orderwise for administrative reasons, breaking the link to the corresponding entity in InRiver. Subsequent product enrichments from InRiver no longer sync to the correct item record, leading to stale data on ecommerce channels. This can affect product filterability, search and internal reporting that relies on consistent identifiers across the two platforms.
Prevention / Action: The integration should use a permanent, non-editable unique ID to link an item in Orderwise to an entity in InRiver, not the human-readable SKU. Once linked, the SKU field should be locked from changes in both systems to ensure stability. This requires clear operational discipline and process documentation reinforced by the integration's logic, which should use the internal ID for all ongoing data updates.
Frequently asked questions
If we create a new SKU in our ERP, Orderwise, will it sync back to InRiver?
No, the standard operating model establishes InRiver as the single source of truth for all core product data. New SKUs must be created and enriched in InRiver first, which then pushes the data to create the corresponding item record in Orderwise. This prevents data conflicts and ensures operational records in Orderwise always have the full commercial enrichment from the PIM.
What happens if our team edits product data directly in Orderwise instead of InRiver?
Editing product information like descriptions or attributes directly in Orderwise creates data integrity issues, as these changes will be overwritten during the next synchronisation from InRiver. This leads to manual rework and operational confusion because InRiver is the master system for all product enrichment. A correctly configured integration will lock key fields in Orderwise to prevent these overwrites.
How does this integration help us launch new products faster?
A common bottleneck is manually re-keying product data from a PIM into an ERP to make an item available for sale. By connecting InRiver to Orderwise, a new SKU can automatically create the corresponding item record in Orderwise once it is approved and complete. This removes the manual data entry step, which often costs several days of time-to-market for each new product collection.
Does operational data like stock levels or cost price sync from Orderwise back to InRiver?
Typically, the data flow is one-way from InRiver to Orderwise for product enrichment. Orderwise remains the source of truth for purely operational data like inventory levels, cost price, and supplier details. The integration's main purpose is to feed rich commercial content into your operational system, not to sync stock or financial data back into the PIM.
What is the correct process for archiving a product across both systems?
The workflow should always start in InRiver, which controls the product lifecycle. Archiving a product entity in InRiver triggers a corresponding status update to the item record in Orderwise, making it inactive or non-saleable. Deleting the item in Orderwise first would cause a sync error when the a master record in InRiver attempts to update it on the next cycle, leading to manual clean-up.