Orderwise and Akeneo
Integration Agency & Consultants
Inconsistent product data becomes a significant operational drag when catalogue errors start causing order failures or inaccurate stock levels in the warehouse. While Akeneo holds the master product record, the operational reality of retail requires that specific attributes sync accurately to Orderwise ERP to manage inventory and sales data. We build this connection to resolve the data mismatches that lead to overselling or fulfilment delays, ensuring your operational teams can trust the inventory numbers they see.
Audit of ERP and PIM inefficiencies
We connect your Orderwise and Akeneo systems quickly, supporting ERP and PIM integration projects. Our consulting services are valuable because our system audit uncovers inefficiencies and integration gaps across Orderwise, Akeneo, ERP, and PIM platforms. This enables our consultants and your team to take decisive action, ensuring your technology ecosystem runs efficiently. With our expertise, you can deliver a reliable experience to your customers, confident that your Orderwise and Akeneo integrations are robust and your ERP and PIM systems are optimised for business growth.
Solution Design
We treat Akeneo as the master product record for enrichment, while Orderwise remains the authority for operational SKU data and inventory levels. A core design decision for this pair is the sequencing of attribute flows. We typically sync core SKU data to establish the record before pushing enriched marketing data back out to sales channels. One trade-off is the timing of inventory updates. While high-frequency pushes provide the highest accuracy, they can create system strain during peak periods, so we often implement prioritised updates for high-velocity SKUs. This design ensures finance closes the month against accurate ERP stock values, while the ecommerce team works from reliable, enriched PIM data.
Product attribute mapping and inventory syncs
The integration ensures Akeneo remains the master product record while Orderwise manages the operational life of the SKU. Product variations and attributes are mapped from the PIM to the ERP to ensure that enriched marketing data aligns with warehouse fulfilment requirements. Data integrity is maintained through scheduled syncs that focus on changed records to protect system performance. Monitoring is embedded to catch mapping errors or attribute mismatches before they cause stock inaccuracies or failed warehouse picks. This process reduces the risk of manual data entry errors that typically lead to broken inventory levels.
Secure orchestration for automated data flows
Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations enables secure, efficient integration between Orderwise (ERP) and Akeneo (PIM). Using IPaaS, Orderwise and Akeneo data flows are automated, reducing manual effort and risk. IPaaS platforms simplify ERP and PIM connectivity, support scalability, and ensure compliance. This approach delivers robust, secure integration, making it easier to manage and protect business-critical data.
Spotting attribute drift and sync gaps
Dashboards often hide the quiet failures that compound over time, such as attribute mapping drift or inventory synchronisation gaps. Our approach surfaces these exceptions early, showing exactly where a product record in Akeneo has failed to update Orderwise. We monitor for specific failure patterns, including inconsistent variation mappings or archived SKUs that are still receiving stock updates. This level of visibility means your ops team can resolve data discrepancies quickly rather than discovering them during a stock take or because of a customer complaint.
Operational handover for product data owners
Handover focuses on how your ecommerce, operations, and product teams own the data flow between Akeneo and Orderwise. We provide an operating model that defines who manages product attribute enrichment in the PIM and who oversees the inventory and SKU master in the ERP. Training covers the daily checks required to ensure data integrity, how to interpret alerts when a sync fails, and which team owns specific exception types. Documentation is written as a clear operational reference for the people running the business, not as a technical archive for IT. This ensures your team can manage product data errors and inventory mismatches independently.
Post-launch governance for data drift management
Post-launch support is focused on ongoing operational stability. We monitor the Akeneo and Orderwise sync for data drift and exceptions, surfacing issues to the relevant team before they cause order failures. Our process is designed for high-volume retail, ensuring that a product data block or an inventory lag is addressed with commercial urgency. Your team retains control, supported by monitoring that prioritises system health and data accuracy.
Common failures
Product model mismatch
Operational impact: When Akeneo's product structures, such as 'Product Models' with variants, are not correctly mapped to the equivalent variant structure in Orderwise, SKU-level data becomes unreliable. This leads to Sales Orders that the fulfilment team cannot process, causing dispatch delays and order exceptions. Customer service then has to manage incorrect order communications, and the finance team may struggle to reconcile inventory value against purchase orders.
Prevention / Action: The integration's design phase must establish an explicit data model for how Akeneo products and their variants translate into Orderwise. This includes defining a clear source of truth for SKU generation. The integration logic should contain specific routines to transform Akeneo product data into the format Orderwise requires, with exception handling to queue any products that fail validation for manual review.
Incomplete or delayed catalogue updates
Operational impact: Changes to the Akeneo catalogue, especially bulk updates or category restructuring, can fail to propagate to Orderwise correctly if the integration is not designed for high volume. This results in launch delays if new SKUs are not present for stock allocation, or margin erosion if price changes are missed. During large syncs, API rate limits can be hit, causing partial updates and leaving product data inconsistent between the two systems for hours.
Prevention / Action: Design the integration to use a queuing system that batches updates from Akeneo, rather than relying on an individual webhook for every attribute change. Schedule these batch jobs to run at a defined frequency that balances data freshness with system load. For major structural changes, plan for a controlled, out-of-hours sync and build robust retry logic and rate-limit handling to ensure all updates are processed successfully.
Critical attribute synchronisation failure
Operational impact: If attributes critical for logistics, such as weights, dimensions, or customs commodity codes, are missing or malformed when synced from Akeneo, it directly impacts the fulfilment process. The warehouse team cannot create consignments in Orderwise, leading to dispatch backlogs and manual data entry. This also causes incorrect shipping costs to be calculated, affecting order profitability and potentially creating invoice queries for the finance team.
Prevention / Action: A rigorous mapping exercise must be conducted to identify every critical attribute, defining its source system and format requirements in Orderwise. The integration should include validation logic to check that these attributes are present and correctly formatted before creating or updating a product. Implement monitoring that raises an immediate alert for the operations team when a product syncs with missing or invalid logistics data.
Frequently asked questions
Which system should be the source of truth for stock and pricing?
In this operating model, Akeneo must be the source of truth for all descriptive product data, while Orderwise must own all operational data like stock levels and price lists. Akeneo enriches the core Item Record, which is then passed to Orderwise where inventory quantities and pricing are managed for sales channels. Attempting to manage stock levels directly in Akeneo creates data conflicts and makes an accurate, reliable stock sync impossible.
Why aren't products updating in Orderwise after we've changed them in Akeneo?
This is a common failure point, as changes to the Akeneo Category Tree do not automatically trigger updates for every product within that category. The integration layer needs to be explicitly configured to detect the category change and then trigger a refresh of all associated SKUs in Orderwise. Without this step, product records in Orderwise become outdated, which can negatively affect sales reporting and stock management.
What happens when we change a simple product to a product with variants in Akeneo?
This requires careful mapping to avoid creating orphaned SKUs or duplicate data in your ERP. When an Akeneo 'Simple' product becomes a 'Product Model', the integration must be able to create new, distinct variant Item records in Orderwise and link them correctly. If not handled properly, this change will corrupt product data in Orderwise and disrupt the order-to-cash process when orders for the new variants are received.
We have some products in Akeneo that are not appearing in Orderwise, what causes this?
This often happens when product attribute data in Akeneo exceeds the character limits on corresponding fields in Orderwise, causing the sync to fail for that specific Item record. A robust integration includes pre-emptive validation to check for issues like attribute codes exceeding length limits before attempting the sync from Akeneo. This prevents incomplete product data from reaching Orderwise and disrupting stock level or sales order creation.
Can we sync high-resolution imagery from Akeneo directly to Orderwise Item records?
This is not recommended, because Orderwise is an ERP system, not a Digital Asset Manager, and is not designed to handle high-resolution image files efficiently. Attempting to push large assets from Akeneo's asset manager directly to an Orderwise Item record often causes performance degradation or outright sync failures. The correct operational process is to sync a URL for the asset from Akeneo, which Orderwise can then use as a reference.