Relewise and Adobe Commerce
Integration Agency & Consultants
Operational pressure typically mounts when Adobe Commerce storefront recommendations ignore live inventory and real-time user behaviour. Many personalisation projects underperform at scale because inaccurate data feeds create a sync illusion, leading to irrelevant product suggestions that frustrate customers. This integration connects Relewise to Adobe Commerce to ensure the onsite experience is grounded in current catalogue data, turning more browsing sessions into sales and increasing average order values.
Auditing system gaps and integration bottlenecks
Cogent2 connects your Relewise and Adobe Commerce integration quickly, supporting Ecommerce businesses to deliver advanced Personalisation. Our consulting services are invaluable, with system audit services that uncover inefficiencies and integration gaps across Relewise and Adobe Commerce. These audits empower our consultants and your team to take decisive action, ensuring your Ecommerce technology ecosystem runs efficiently. By focusing on Personalisation and robust system performance, we help you provide your customers with a superior experience and keep your business ahead in a competitive market.
Solution Design
We architect the Relewise and Adobe Commerce integration with an opinionated source of truth strategy: Adobe Commerce owns the product catalogue and master customer records, while Relewise owns the behavioural logic. A key design decision involves the frequency of inventory updates. While real-time sync theoretically prevents recommending sold-out items, it can increase API pressure on Adobe Commerce during peak trade. We often trade immediate sub-second precision for batched inventory updates at defined intervals to protect storefront stability under load. This avoids the sync illusion of real-time while maintaining operational trust. We sequence core catalogue attributes first, ensuring the finance team reconciles sales against a consistent product set while the ecommerce team manages personalisation rules without manual data cleanup.
Mapping catalogue metadata and event signals
The integration establishes Adobe Commerce as the primary source for product metadata, pricing, and customer records. Data flows into Relewise to fuel the recommendation engine, with system events capturing real-time behavioural signals such as product views, basket additions, and completed checkouts. Product catalogue updates are typically sequenced on a defined schedule or via webhooks to reflect price and stock changes without exceeding API rate limits. We focus on early issue detection to identify where SKUs fail to map correctly to the Relewise index, preventing irrelevant or out-of-stock suggestions. This sequencing ensures recommendations remain in step with the actual catalogue, protecting the customer experience by only displaying products and prices that Adobe Commerce can currently honour.
Orchestrating workflows through secure middleware layers
Leveraging IPaaS with ISO 27001 and SOC 2 and above security accreditations enables secure, efficient integration between Relewise and Adobe Commerce, supporting advanced personalisation and robust ecommerce solutions. IPaaS simplifies connecting Relewise and Adobe Commerce, ensuring data protection and compliance. This approach delivers reliable personalisation and ecommerce capabilities, reducing risk and complexity while maintaining high security standards.
Detecting sync drift and data exceptions
Dashboards often hide the compounding impact of minor sync errors. Visibility requires more than a green light on a status page; it requires identifying when the context of a recommendation is lost. Our approach surfaces hidden failures early, such as when customer segments in Adobe Commerce stop syncing correctly to Relewise, leading to generic or irrelevant suggestions. We monitor the delta between the systems to catch sync drift before it impacts performance. By surfacing these exceptions, your team can distinguish between a logic error in the personalisation strategy and a data failure in the pipe. This allows for rapid diagnosis of whether a drop in engagement is an operational or technical issue.
Equipping teams to manage operational logic
Handover ensures the ecommerce and marketing teams own the personalisation lifecycle. We move beyond technical setup to establish an operating model where ecommerce managers own recommendation logic and CX teams manage exception patterns, such as missing product imagery or broken links in feeds. Your team learns to monitor the Adobe Commerce and Relewise data flow daily, auditing logs for attribute mismatches that could lead to operational drift. Documentation is provided as an operational reference for the people running the business. It prioritises how to read alerts from the integration layer and who is responsible for resolving specific data discrepancies.
Governing performance during peak trading periods
Our support model focuses on long-term operational health. We monitor the Adobe Commerce and Relewise connection, surfacing exceptions like sync backlogs or attribute mapping errors before they impact the storefront. This includes managing escalation for data failures and providing the ecommerce team with the context needed to resolve catalogue discrepancies. By maintaining visibility into integration behaviour, we help you identify operational drift that threatens conversion rates. Support is designed for the pace of high-volume retail, ensuring the personalisation engine remains reliable during peak trading periods.
Common failures
Stale product data in recommendations\n\n
Operational impact: When prices or attributes change in Adobe Commerce but the Relewise sync lags, the storefront suffers from operational latency. This leads to recommendations showing incorrect pricing or missing active promotions, which erodes customer trust. At scale, this directly affects conversion rates and forces the merchandising team into manual audits to verify accuracy.\n\n
Prevention / Action: Process product updates from Adobe Commerce on a defined schedule. Critical attributes must be explicitly mapped to the Relewise feed, with a regular full catalogue resynchronisation to resolve incremental sync failures and maintain a reliable data baseline.\n\n
Recommending out-of-stock products\n\n
Operational impact: Inventory latency between Adobe Commerce and Relewise creates a sync illusion where the storefront promotes sold-out SKUs. This wastes high-value recommendation space and increases customer service queries when shoppers cannot complete their purchase. It causes a work-around where teams manually hide products they suspect are out of sync.\n\n
Prevention / Action: Treat inventory updates as high-priority events, pushing stock level changes for each SKU from Adobe Commerce to Relewise on a short interval. High-volume environments must monitor for queue backlogs and set alerts to flag delays before they impact the live site.
Frequently asked questions
If a product is deleted in Adobe Commerce, will Relewise stop recommending it?
Not automatically. If a product record is deleted in Adobe Commerce, it can remain in the Relewise index, leading to recommendations that link to dead pages. The integration must be configured to send an explicit delete instruction to keep the product catalogue synchronised across both systems.
How does Adobe Commerce multi-source inventory affect recommendations?
Relewise requires accurate inventory data to avoid recommending out-of-stock items. The integration must interpret the Source Selection Algorithm in Adobe Commerce to provide Relewise with the correct aggregate stock status. Failure to do this results in shoppers being recommended products that are unavailable for purchase.
Can Relewise respect customer group pricing from Adobe Commerce?
Yes, but this requires mapping the Customer Group ID from Adobe Commerce and passing it to Relewise with every user session. This ensures the recommendation engine displays the correct price tier. If this sync fails, B2B or VIP customers may see incorrect retail pricing, undermining trust.
Why are our current recommendations not driving sales?
This usually happens when recommendations rely on basic rules or incomplete data. A proper integration allows Relewise to analyse rich behavioural data, including sales order history and real-time actions from Adobe Commerce. Moving beyond generic logic to data-driven personalisation is what increases conversion and average order value.